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	<title>Data Viz Excellence, Everywhere</title>
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	<description>Andy Kirk - Independent data visualisation expert</description>
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	<item>
		<title>The March 2026 newsletter is now open to all</title>
		<link>https://visualisingdata.com/2026/04/the-march-2026-newsletter-is-now-open-to-all/</link>
		
		<dc:creator><![CDATA[Andy Kirk]]></dc:creator>
		<pubDate>Fri, 17 Apr 2026 07:53:13 +0000</pubDate>
				<category><![CDATA[Newsletter]]></category>
		<category><![CDATA[2026]]></category>
		<category><![CDATA[Latest]]></category>
		<category><![CDATA[Prepared]]></category>
		<guid isPermaLink="false">https://visualisingdata.com/?p=33267</guid>

					<description><![CDATA[<p>My March newsletter, sent out to subscribers at the end of last month, is now open for all to read. You can access this issue, as well as visit the growing catalogue of previous issues, on the Newsletter page.</p>
<p>The post <a href="https://visualisingdata.com/2026/04/the-march-2026-newsletter-is-now-open-to-all/">The March 2026 newsletter is now open to all</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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									<p>My <a href="https://visualisingdata.kit.com/posts/the-visualising-data-newsletter-issue-23-march-2026" rel="noopener">March newsletter</a>, issue number 23 that was sent out to subscribers a couple of weeks ago, is now open for all to read.</p>
<p>You can also access this issue, as well as visit the full catalogue of previous issues, via the <a href="https://visualisingdata.com/newsletter/">Newsletter</a> page.</p>
<p>If you&#8217;re not already a subscriber, its time to change that! To receive this free monthly newsletter straight into your inbox you can sign up <a href="https://visualisingdata.ck.page/b9efcf751f">here</a> or visit the <a href="https://visualisingdata.com/newsletter/">Newsletter</a> page to get a bit more background information and instructions.</p>
<p>Thank you as always to everyone who subscribes, reads, shares, visits and responds to this newsletter. But above all thank you to all the people doing ace work that I&#8217;m able to curate and share through these issues.</p>								</div>
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		<p>The post <a href="https://visualisingdata.com/2026/04/the-march-2026-newsletter-is-now-open-to-all/">The March 2026 newsletter is now open to all</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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		<title>Data in the wild #17: Smart motorways</title>
		<link>https://visualisingdata.com/2026/04/data-in-the-wild-17-smart-motorways/</link>
		
		<dc:creator><![CDATA[Obinna Iwuji]]></dc:creator>
		<pubDate>Thu, 09 Apr 2026 19:46:26 +0000</pubDate>
				<category><![CDATA[Data In The Wild]]></category>
		<category><![CDATA[Latest]]></category>
		<category><![CDATA[Prepared]]></category>
		<guid isPermaLink="false">https://visualisingdata.com/?p=33249</guid>

					<description><![CDATA[<p>Smart motorways are quietly shaping how we drive. That sudden drop from 70 to 50? It’s not random. Sensors and systems are predicting traffic before it happens, slowing everyone down to prevent jams. It’s data controlling the road in real time… the question is, do we actually trust it?</p>
<p>The post <a href="https://visualisingdata.com/2026/04/data-in-the-wild-17-smart-motorways/">Data in the wild #17: Smart motorways</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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									<p><strong>England&#8217;s Cure To Crazy Driving&#8230;Kinda</strong></p><p><span style="font-weight: 400;">Okay, so I recently did a driver’s safety course for speeding.</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">Wait, wait, wait… it wasn’t that bad.</span></p><p><span style="font-weight: 400;">I was going down a hill on a 30, and at the bottom it switched to a 20. I’d never driven on that road before, and it took me a second to adjust. Personally? I think it was fine. But hey… the DVSA does indeed have bills to pay.</span></p><p><span style="font-weight: 400;">Anyway, I’m sitting there on the course, slightly humbled, slightly annoyed… and I learn something I had genuinely never heard before.</span></p><p><span style="font-weight: 400;">Apparently… the motorway is watching you.</span></p><p><span style="font-weight: 400;">Not in a conspiratorial way.</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">In a </span><b>data</b><span style="font-weight: 400;"> way.</span></p><p><span style="font-weight: 400;">There’s something called a </span><i><span style="font-weight: 400;">smart motorway</span></i><span style="font-weight: 400;">. And once you see it, you realise it’s everywhere in the UK. It’s the reason you’ll be cruising at 70… and suddenly the signs tell you to go 50… then 40… and you’re sitting there thinking:</span></p><p><em>“There’s literally nothing here… why am I slowing down?”</em></p><p><span style="font-weight: 400;">So let’s talk about what’s actually going on.</span></p>								</div>
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									<p><strong>Data In The Wild</strong></p><p><span style="font-weight: 400;">Welcome back to another edition of </span><i><span style="font-weight: 400;">Data in the Wild</span></i><span style="font-weight: 400;"> the series where we investigate how data is quietly collected, processed, and used to shape the world around us.</span></p><p><span style="font-weight: 400;">Today’s conversation:</span><span style="font-weight: 400;"><br /></span><b>The motorway that thinks ahead of you.</b></p>								</div>
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									<p><strong>What Is A Smart Motorway??</strong></p><p><span style="font-weight: 400;">At it’s simplisest, a smart motorway is just a motorway that uses real-time data to manage traffic.</span></p><p><span style="font-weight: 400;">English roads, for all you non-UK drivers are pretty small. They were originally built for horses and carrgiages after all, so rather than building new lanes (which is expensive, slow, and disruptive), this system tries to </span><b>optimise the road we already have.</b></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Variable speed limits</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Lane control (including that red <span style="color: #ff0000;"><strong>X</strong></span>)</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Sensors tracking traffic flow</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">And in some cases… removing the hard shoulder entirely</span></li></ul><p><span style="font-weight: 400;">So rather than reacting to traffic…</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">it tries to predict and shape it.</span></p>								</div>
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										<img fetchpriority="high" decoding="async" width="640" height="480" src="https://visualisingdata.com/wp-content/uploads/2026/04/all-running-lanes.jpg" class="attachment-large size-large wp-image-33254" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/04/all-running-lanes.jpg 640w, https://visualisingdata.com/wp-content/uploads/2026/04/all-running-lanes-300x225.jpg 300w" sizes="(max-width: 640px) 100vw, 640px" />											<figcaption class="widget-image-caption wp-caption-text">All-Lane Running Motorway Example</figcaption>
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										<img decoding="async" width="300" height="200" src="https://visualisingdata.com/wp-content/uploads/2026/04/controlled-motorways-300x200.jpg" class="attachment-medium size-medium wp-image-33255" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/04/controlled-motorways-300x200.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/04/controlled-motorways-1024x683.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/04/controlled-motorways-768x512.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/04/controlled-motorways-1536x1024.jpg 1536w, https://visualisingdata.com/wp-content/uploads/2026/04/controlled-motorways-2048x1365.jpg 2048w" sizes="(max-width: 300px) 100vw, 300px" />											<figcaption class="widget-image-caption wp-caption-text">Controlled Motorway Example Wikimedia Commons</figcaption>
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										<img decoding="async" width="1024" height="570" src="https://visualisingdata.com/wp-content/uploads/2026/04/Dynamic_lane_italian-1024x570.png" class="attachment-large size-large wp-image-33256" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/04/Dynamic_lane_italian-1024x570.png 1024w, https://visualisingdata.com/wp-content/uploads/2026/04/Dynamic_lane_italian-768x427.png 768w, https://visualisingdata.com/wp-content/uploads/2026/04/Dynamic_lane_italian-1536x855.png 1536w, https://visualisingdata.com/wp-content/uploads/2026/04/Dynamic_lane_italian-2048x1140.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" />											<figcaption class="widget-image-caption wp-caption-text">Dynamic Motorway Example Wikimedia Commons</figcaption>
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									<p><span style="font-weight: 400;">According to the </span><a href="https://www.bbc.co.uk/news/business-59134013"><span style="font-weight: 400;">BBC, as of April 2024</span></a><span style="font-weight: 400;"> there were 396 miles of smart motorways in England:</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">​​All-lane running motorway &#8211; hard shoulder permanently removed &#8211; 193 miles</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Controlled &#8211; hard shoulder retained and variable speed limits &#8211; 140 miles</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Dynamic &#8211; hard shoulder sometimes open to traffic &#8211; 63 miles</span></li></ul>								</div>
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									<p style="text-align: center;"><em><span style="font-weight: 400;">Forgive the use of a pie chart it just felt like it must be done</span></em></p>								</div>
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									<p><strong>So&#8230;Why Does It Tell You To Slow Down When Nothing&#8217;s There?</strong></p><p><span style="font-weight: 400;">This is where it gets interesting.</span></p><p><span style="font-weight: 400;">Under the road (and around it), there are sensors constantly collecting data:</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">How fast are cars moving</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">How close together they are</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Whether traffic is starting to bunch up</span></li></ul><p><span style="font-weight: 400;">All of that feeds into a system called</span><span style="font-weight: 400;"><br /></span><b>MIDAS</b><span style="font-weight: 400;"> (Motorway Incident Detection and Automatic Signalling).</span></p><p><span style="font-weight: 400;">Truly a golden opportunities to use a good acronym. Here’s what the MIDAS actually does:</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">It looks for patterns that suggest congestion is about to happen</span></li><li style="font-weight: 400;" aria-level="1">And then intervenes <i style="font-weight: inherit;">before you even see the problem</i></li></ul>								</div>
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															<img decoding="async" width="1024" height="570" src="https://visualisingdata.com/wp-content/uploads/2026/04/Dynamic_lane_italian-1024x570.png" class="attachment-large size-large wp-image-33256" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/04/Dynamic_lane_italian-1024x570.png 1024w, https://visualisingdata.com/wp-content/uploads/2026/04/Dynamic_lane_italian-768x427.png 768w, https://visualisingdata.com/wp-content/uploads/2026/04/Dynamic_lane_italian-1536x855.png 1536w, https://visualisingdata.com/wp-content/uploads/2026/04/Dynamic_lane_italian-2048x1140.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
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									<p><span style="font-weight: 400;">The <span style="color: #ff0000;"><strong>Red X</strong></span>, for the slightly seasoned readers out there, may make you think of a certain teen titan, but for the rest of us normal people, it can be a bit confusing! Why? Because it looks like the lane is not usable, which is only half the story! Rather, the motorway has picked up that there is an accident, an obstacle, or something that makes it not the best </span><span style="font-weight: 400;">place to be, so kindly get out of the lane! Here is what’s happening:</span></p>								</div>
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									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">The system detects an issue (breakdown, debris, etc) via radar or CCTV</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Closes the lane</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Updates the signs</span></li></ul><p><span style="font-weight: 400;">There are even cameras that will fine you if you ignore it.</span></p><p><span style="font-weight: 400;">Because on some smart motorways…there’s no hard shoulder anymore.</span></p>								</div>
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															<img loading="lazy" decoding="async" width="640" height="389" src="https://visualisingdata.com/wp-content/uploads/2026/04/hard-shoulder.jpg" class="attachment-large size-large wp-image-33258" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/04/hard-shoulder.jpg 640w, https://visualisingdata.com/wp-content/uploads/2026/04/hard-shoulder-300x182.jpg 300w" sizes="(max-width: 640px) 100vw, 640px" />															</div>
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									<p><span style="font-weight: 400;">It does occur to me as I write this, there are a lot of terms here where if you don’t drive or don’t drive in the UK, may make not sense what so ever, but the hard should is that part of the road the arrow is pointing to in the picture, where cars tend to go when the going gets tuff and your vehicle stops going…it’s gone! </span></p>								</div>
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									<p><span style="font-weight: 400;">Some smart motorways use something called </span><b>“all lane running”</b><span style="font-weight: 400;">, where the hard shoulder is permanently turned into a live lane.</span></p><p><span style="font-weight: 400;">Which is great for:</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Increasing capacity</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Reducing congestion</span></li></ul><p><span style="font-weight: 400;">But raises a very fair question:</span></p><p><b>Where do you go if you break down?</b></p>								</div>
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															<img loading="lazy" decoding="async" width="259" height="194" src="https://visualisingdata.com/wp-content/uploads/2026/04/emergency-refuge-area.jpeg" class="attachment-2048x2048 size-2048x2048 wp-image-33259" alt="" />															</div>
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									<p><strong>Enter: Emergency Refuge Areas</strong></p><p><span style="font-weight: 400;">Instead of a continuous hard shoulder, you get designated pull-in zones called </span><b>Emergency Refuge Areas (ERAs)</b><span style="font-weight: 400;">.</span></p><p><span style="font-weight: 400;">They’re:</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Painted bright orange</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Placed roughly every 1–1.5 miles</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Equipped with SOS phones</span></li></ul><p><span style="font-weight: 400;">The idea is </span><span style="font-weight: 400;">If something goes wrong, you aim for one of these</span></p><p><span style="font-weight: 400;">But…</span><span style="font-weight: 400;">That gap between them? </span><span style="font-weight: 400;">That’s where a lot of the debate comes in.</span></p>								</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-0f16375 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="0f16375" data-element_type="section" data-e-type="section">
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									<p><strong>The Debate</strong></p><p><span style="font-weight: 400;">Yes, there is one! It’s why a good chunk of us get up in the morning! Because on paper, smart motorways may sound great!</span></p><p><span style="font-weight: 400;">You have:</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Less congestion</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Faster Journeys</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Lower emissions</span></li></ul><p><span style="font-weight: 400;">But in reality, alot of people are not completely sold. Organisations like the RAC have raised concerts that around how quickly stopped vehicles are detected and the distance between the refugee areas. Amongst other things, one of the biggest concerns is the reliability of data &amp; tech to handle safety issues in a predictable way, for a species of people who are not exactly known for their predictability (I have been on a few Reddit threads about this, it’s both very scary and incredibly entertaining).</span></p><p><span style="font-weight: 400;">It’s as a result of this that the UK government has actually cancelled plans for new smart motorways, though the existing ones are very much in use.</span></p>								</div>
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									<p><strong>The Bottom Line</strong></p><p><span style="font-weight: 400;">As we are not here to talk about motorway hijinks and government policy, we are here to talk about how data is used and influences our everyday lives. And this is one of the examples where, perhaps there is still a big question mark. Because we’ve built a system powered by data…but we are still figuring out if we actually trust it.</span></p><p><span style="font-weight: 400;">Next time you’re driving and the speed drops from 70 to 50 for no obvious reason…</span></p><p><span style="font-weight: 400;">Just remember:</span></p><p><span style="font-weight: 400;">It’s not random.</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">It’s not broken.</span></p><p><span style="font-weight: 400;">It’s a system, quietly watching patterns…</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">trying to stop a problem before you ever see it.</span></p><p><span style="font-weight: 400;">And whether you trust it or not…</span></p><p><span style="font-weight: 400;">That’s data in the wild.</span></p><p><span style="font-weight: 400;">See you next time.</span></p>								</div>
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				<section class="elementor-section elementor-top-section elementor-element elementor-element-f8cd79a elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="f8cd79a" data-element_type="section" data-e-type="section">
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				<a class="elementor-post__thumbnail__link" href="https://visualisingdata.com/2026/04/data-in-the-wild-17-smart-motorways/" tabindex="-1" ><div class="elementor-post__thumbnail"><img loading="lazy" decoding="async" width="2560" height="1536" src="https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-scaled.png" class="attachment-full size-full wp-image-33253" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-scaled.png 2560w, https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-300x180.png 300w, https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-1024x614.png 1024w, https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-768x461.png 768w, https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-1536x922.png 1536w, https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-2048x1229.png 2048w" sizes="(max-width: 2560px) 100vw, 2560px" /></div></a>
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			<a href="https://visualisingdata.com/2026/04/data-in-the-wild-17-smart-motorways/" >
				Data in the wild #17: Smart motorways			</a>
		</h3>
				<div class="elementor-post__excerpt">
			<p>Smart motorways are quietly shaping how we drive. That sudden drop from 70 to 50? It’s not random. Sensors and systems are predicting traffic before it happens, slowing everyone down to prevent jams. It’s data controlling the road in real time… the question is, do we actually trust it?</p>
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		<a class="elementor-post__read-more" href="https://visualisingdata.com/2026/04/data-in-the-wild-17-smart-motorways/" aria-label="Read more about Data in the wild #17: Smart motorways" tabindex="-1" >
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			April 9, 2026		</span>
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				<a class="elementor-post__thumbnail__link" href="https://visualisingdata.com/2026/02/data-in-the-wild-15-can-you-share-your-location/" tabindex="-1" ><div class="elementor-post__thumbnail"><img loading="lazy" decoding="async" width="1000" height="601" src="https://visualisingdata.com/wp-content/uploads/2026/02/data-in-the-wild-banner-16.jpg" class="attachment-full size-full wp-image-32921" alt="Data in the wild banner, can you share your location" srcset="https://visualisingdata.com/wp-content/uploads/2026/02/data-in-the-wild-banner-16.jpg 1000w, https://visualisingdata.com/wp-content/uploads/2026/02/data-in-the-wild-banner-16-300x180.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/02/data-in-the-wild-banner-16-768x462.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /></div></a>
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				<h3 class="elementor-post__title">
			<a href="https://visualisingdata.com/2026/02/data-in-the-wild-15-can-you-share-your-location/" >
				Data in the wild #16: Can You Share Your Location			</a>
		</h3>
				<div class="elementor-post__excerpt">
			<p>In this edition of Data in the Wild, I explore what it really means to “share your location.” From GPS and Wi-Fi to ship tracking and TfL demand modelling, this piece unpacks how geolocation works, where it shows up in everyday life, and what we can build when movement becomes data.</p>
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		<a class="elementor-post__read-more" href="https://visualisingdata.com/2026/02/data-in-the-wild-15-can-you-share-your-location/" aria-label="Read more about Data in the wild #16: Can You Share Your Location" tabindex="-1" >
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			February 24, 2026		</span>
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				<article class="elementor-post elementor-grid-item post-32793 post type-post status-publish format-standard has-post-thumbnail hentry category-data-in-the-wild tag-prepared" role="listitem">
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				<a class="elementor-post__thumbnail__link" href="https://visualisingdata.com/2026/01/data-in-the-wild-15-the-data-behind-fireworks/" tabindex="-1" ><div class="elementor-post__thumbnail"><img loading="lazy" decoding="async" width="1000" height="601" src="https://visualisingdata.com/wp-content/uploads/2026/01/data-in-the-wild-banner-15.jpg" class="attachment-full size-full wp-image-32794" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/01/data-in-the-wild-banner-15.jpg 1000w, https://visualisingdata.com/wp-content/uploads/2026/01/data-in-the-wild-banner-15-300x180.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/01/data-in-the-wild-banner-15-768x462.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /></div></a>
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				<h3 class="elementor-post__title">
			<a href="https://visualisingdata.com/2026/01/data-in-the-wild-15-the-data-behind-fireworks/" >
				Data in the wild #15: The Data Behind Fireworks			</a>
		</h3>
				<div class="elementor-post__excerpt">
			<p>Fireworks don’t just light up the sky they’re shaped by data. From wind modelling to sound limits, invisible thresholds decide what counts as “safe fun.” This Data in the Wild piece explores how decibels, maths, and regulation quietly shape one of our most beloved celebrations.</p>
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		<a class="elementor-post__read-more" href="https://visualisingdata.com/2026/01/data-in-the-wild-15-the-data-behind-fireworks/" aria-label="Read more about Data in the wild #15: The Data Behind Fireworks" tabindex="-1" >
			Read More &rarr;		</a>

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					<span class="elementor-post-date">
			January 8, 2026		</span>
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		<p>The post <a href="https://visualisingdata.com/2026/04/data-in-the-wild-17-smart-motorways/">Data in the wild #17: Smart motorways</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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		<title>Explore Explain S6E8 – Moritz Stefaner &#038; Enrico Bertini (Part 2)</title>
		<link>https://visualisingdata.com/2026/03/explore-explain-s6e8-moritz-stefaner-enrico-bertini-part-2/</link>
		
		<dc:creator><![CDATA[Andy Kirk]]></dc:creator>
		<pubDate>Mon, 30 Mar 2026 15:59:45 +0000</pubDate>
				<category><![CDATA[Podcast]]></category>
		<category><![CDATA[Season6]]></category>
		<category><![CDATA[Latest]]></category>
		<category><![CDATA[LatestEpisode]]></category>
		<category><![CDATA[Prepared]]></category>
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					<description><![CDATA[<p>Welcome to episode 8 of season 6 of Explore Explain, a long-form video and podcast series all about data visualisation design. This is the second of a special two-part episode featuring my esteemed guests, Moritz Stefaner, 'Truth &#038; Beauty Operator' based in Germany, and Enrico Bertini, Associate Professor, Data Visualization Researcher and Educator at Northeastern University in the USA.</p>
<p>The post <a href="https://visualisingdata.com/2026/03/explore-explain-s6e8-moritz-stefaner-enrico-bertini-part-2/">Explore Explain S6E8 – Moritz Stefaner &amp; Enrico Bertini (Part 2)</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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									<p>This is the second of a special two-part episode featuring my esteemed guests,&nbsp;<a href="https://truth-and-beauty.net/" target="_blank" rel="noopener">Moritz Stefaner</a>, &#8216;Truth &amp; Beauty Operator&#8217; based in Germany, and&nbsp;<a href="https://enrico.bertini.io/" target="_blank" rel="noopener">Enrico Bertini</a>, Associate Professor, Data Visualization Researcher and Educator at Northeastern University in the USA.</p>
<p>The conversations explored Moritz and Enrico&#8217;s respective selections of FIVE significant visualisation-related works, produced by other people, that have most influentially shaped their thinking about data visualisation. They then each offer a further +1 selection from their own body of work that they felt had had most significance on their career story.</p>								</div>
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									In this second-part episode we covered Enrico’s selections as follows:
<ul>
 	<li>#1 <a href="https://idl.cs.washington.edu/files/2010-Narrative-InfoVis.pdf">Narrative Visualization: Telling Stories with Data</a> (2010) &#8211; Edward Segel and Jeffrey Heer</li>
 	<li>#2 <a href="https://vis.csail.mit.edu/classes/6.859/readings/pdfs/Bostock-D3.pdf" target="_blank" rel="noopener">D3: Data Driven Documents</a> (2011) &#8211; Michael Bostock, Vadim Ogievetsky and Jeffrey Heer</li>
 	<li>#3 <a href="http://olivalab.mit.edu/Papers/Borkin_etal_MemorableVisualization_TVCG2013.pdf" target="_blank" rel="noopener">What Makes a Visualization Memorable?</a> (2013) &#8211; Michelle Borkin et al</li>
 	<li>#4 <a href="https://www.cs.ubc.ca/labs/imager/tr/2009/NestedModel/NestedModel.pdf" target="_blank" rel="noopener">A Nested Model for Visualization Design and Validation </a> (2009) &#8211; Tamara Munzner</li>
 	<li>#5 <a href="https://zcliu.cs.umd.edu/vistitles/CHI18-VisTitles.pdf" target="_blank" rel="noopener">Frames and Slants in Titles of Visualizations on Controversial Topics</a> (2018) &#8211; Ha-Kyung Kong, Zhicheng Liu,, Karrie Karahalios</li>
 	<li>+1 <a href="https://static1.squarespace.com/static/5502f56fe4b0aa4bfbdae0a8/t/58b8518217bffc4dc46841b3/1488474511388/anthropographics-chi2017.pdf">Showing People Behind Data: Does Anthropomorphizing Visualizations Elicit More Empathy for Human&#8230;</a> (2017) &#8211; (several authors including&#8230;) Enrico Bertini</li>
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									You can watch and/or listen to the first part, featuring Moritz&#8217;s selections, <a href="https://visualisingdata.com/2026/03/explore-explain-s6e7-moritz-stefaner-enrico-bertini-part-1/">here</a>.								</div>
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									<p>You can watch this episode using the embedded player below or over on the dedicated Explore Explain <a href="https://www.youtube.com/c/exploreexplain">Youtube channel</a>, where you&#8217;ll find all the other video-based episodes and curated playlists.</p>								</div>
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									To listen directly, visit this <a href="https://pod.co/exploreexplain/s6e8-moritz-stefaner-enrico-bertini-part-2" target="_blank" rel="noopener">link</a> or use the embedded podcast player below. The audio podcast is published across all common platforms (such as Apple, <span style="color: var( --e-global-color-secondary ); background-color: var( --e-global-color-primary ); font-family: var( --e-global-typography-primary-font-family ), Sans-serif; font-size: var( --e-global-typography-primary-font-size ); font-weight: var( --e-global-typography-primary-font-weight ); word-spacing: var( --e-global-typography-primary-word-spacing );">Spotify, </span><span style="font-style: inherit; font-weight: inherit; color: var( --e-global-color-secondary ); background-color: var( --e-global-color-primary ); font-family: var( --e-global-typography-primary-font-family ), Sans-serif; word-spacing: var( --e-global-typography-primary-word-spacing );">Amazon Music etc.), so you will find this series listed in their respective directories by searching for &#8216;Explore Explain&#8217; or by manually entering &#8211; or copying/pasting &#8211; this url to your subscriptions &#8211; https://feed.pod.co/exploreexplain.</span>								</div>
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		<p>The post <a href="https://visualisingdata.com/2026/03/explore-explain-s6e8-moritz-stefaner-enrico-bertini-part-2/">Explore Explain S6E8 – Moritz Stefaner &amp; Enrico Bertini (Part 2)</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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		<title>Data Visualisation Events to Look Out for in 2026</title>
		<link>https://visualisingdata.com/2026/03/data-visualisation-events-to-look-out-for-in-2026/</link>
		
		<dc:creator><![CDATA[Obinna Iwuji]]></dc:creator>
		<pubDate>Thu, 26 Mar 2026 14:58:05 +0000</pubDate>
				<category><![CDATA[Field News]]></category>
		<category><![CDATA[Latest]]></category>
		<category><![CDATA[Prepared]]></category>
		<guid isPermaLink="false">https://visualisingdata.com/?p=33121</guid>

					<description><![CDATA[<p>This is a curated list of major data viz and adjacent events taking place in 2026, ranging from academic heavyweights to creative festivals, mapping conferences to product-led design summits.</p>
<p>The post <a href="https://visualisingdata.com/2026/03/data-visualisation-events-to-look-out-for-in-2026/">Data Visualisation Events to Look Out for in 2026</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
]]></description>
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									<p><strong>Where Is Your Data Viz Community?</strong></p><p><span style="font-weight: 400;">If you’re serious about data visualisation, whether as a designer, developer, journalist, researcher, or creative technologist, conferences are where the field really comes alive.</span></p><p><span style="font-weight: 400;">They’re where new tools are launched.</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">Where research meets storytelling.</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">Where people who “get it” &#8211; or want to &#8220;get it&#8221; &#8211; gather in one place.</span><br /><span style="font-weight: 400;">Its where you can find, meet and then hang out with your own tribe, or those adjacent to you.</span></p><p><span style="font-weight: 400;">Below is a curated list of major data viz and adjacent events taking place in 2026, ranging from academic heavyweights to creative festivals, mapping conferences to product-led design summits.</span></p>								</div>
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									<p><strong>Presenting Your DataViz Events</strong><br>For those who want a quick snapshot, scroll no further! Here is a table of events in monthly order and with indicative prices (in GBP):</p>								</div>
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	<td class="column-1">Smashing Conference</td><td class="column-2">https://smashingconf.com/</td><td class="column-3">Amsterdam, Belgium, Germany</td><td class="column-4">£700–£1,100</td><td class="column-5">Apr-26</td>
</tr>
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	<td class="column-1">Canva Create</td><td class="column-2">https://www.canva.com/canva-create/</td><td class="column-3">Los Angeles, USA</td><td class="column-4">£295</td><td class="column-5">Apr-26</td>
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	<td class="column-1">Tableau Conference 2026</td><td class="column-2">https://www.salesforce.com/tableau-conference/</td><td class="column-3">San Diego, USA</td><td class="column-4">£1,199 - £1,349</td><td class="column-5">May-26</td>
</tr>
<tr class="row-5">
	<td class="column-1">Outlier Conference</td><td class="column-2">https://www.outlierconf.com/</td><td class="column-3">Online</td><td class="column-4">£400–£700</td><td class="column-5">Jun-26</td>
</tr>
<tr class="row-6">
	<td class="column-1">UX London</td><td class="column-2">https://uxlondon.com/</td><td class="column-3">London, UK</td><td class="column-4">£600–£1,000</td><td class="column-5">Jun-26</td>
</tr>
<tr class="row-7">
	<td class="column-1">Figma Config</td><td class="column-2">https://config.figma.com/</td><td class="column-3">San Francisco / Online</td><td class="column-4">£0–£500</td><td class="column-5">Jun-26</td>
</tr>
<tr class="row-8">
	<td class="column-1">EuroVis</td><td class="column-2">https://eurovis.org.uk/</td><td class="column-3">Nottingham, UK</td><td class="column-4">£350–£700</td><td class="column-5">Jun-26</td>
</tr>
<tr class="row-9">
	<td class="column-1">&amp;MOVE (Graphic Hunters)</td><td class="column-2">https://graphichuntersshow.nl/</td><td class="column-3">Netherlands</td><td class="column-4">£363</td><td class="column-5">Jun-26</td>
</tr>
<tr class="row-10">
	<td class="column-1">Esri User Conference</td><td class="column-2">https://www.esri.com/en-us/about/events/uc</td><td class="column-3">San Diego, USA</td><td class="column-4">£1,200–£1,700</td><td class="column-5">Jul-26</td>
</tr>
<tr class="row-11">
	<td class="column-1">Wikimania</td><td class="column-2">https://wikimania.org/</td><td class="column-3">Paris</td><td class="column-4">£200–£500</td><td class="column-5">Jul-26</td>
</tr>
<tr class="row-12">
	<td class="column-1">Viz Chitra</td><td class="column-2">https://vizchitra.com/</td><td class="column-3">Bangalore, India</td><td class="column-4">£27+</td><td class="column-5">Jul-26</td>
</tr>
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	<td class="column-1">Visualizing Complexity</td><td class="column-2">https://vis.csh.ac.at/vis-workshop-2026/</td><td class="column-3">Vienna</td><td class="column-4">£346</td><td class="column-5">Jul-26</td>
</tr>
<tr class="row-14">
	<td class="column-1">State of the Map</td><td class="column-2">https://stateofthemap.org/</td><td class="column-3">Paris/ Online</td><td class="column-4">£200–£450</td><td class="column-5">Aug-26</td>
</tr>
<tr class="row-15">
	<td class="column-1">SIGGRAPH</td><td class="column-2">https://www.siggraph.org/</td><td class="column-3">LA, USA</td><td class="column-4">£700–£1,200</td><td class="column-5">Aug-26</td>
</tr>
<tr class="row-16">
	<td class="column-1">FOSS4G (Free &amp; Open Source GIS)</td><td class="column-2">https://foss4g.org/</td><td class="column-3">Global</td><td class="column-4">£300–£600</td><td class="column-5">Aug–26</td>
</tr>
<tr class="row-17">
	<td class="column-1">British Cartographic Society Annual Conference</td><td class="column-2">https://www.cartography.org.uk/events</td><td class="column-3">Edinburgh, Scotland</td><td class="column-4">£250–£500</td><td class="column-5">Sep-26</td>
</tr>
<tr class="row-18">
	<td class="column-1">MozFest (Mozilla Festival)</td><td class="column-2">https://www.mozillafestival.org/</td><td class="column-3">Barcelona</td><td class="column-4">£0–£300</td><td class="column-5">Oct-26</td>
</tr>
<tr class="row-19">
	<td class="column-1">Information Design Conference</td><td class="column-2">TBC</td><td class="column-3">Netherlands</td><td class="column-4">TBC</td><td class="column-5">Oct-26</td>
</tr>
<tr class="row-20">
	<td class="column-1">Visualising Climate 2026</td><td class="column-2">https://climate.copernicus.eu/visualising-climate-2026</td><td class="column-3">Bologna, Italy</td><td class="column-4">£299</td><td class="column-5">Nov-26</td>
</tr>
<tr class="row-21">
	<td class="column-1">IEEE VIS</td><td class="column-2">https://ieeevis.org/</td><td class="column-3">Boston, USA</td><td class="column-4">£500–£900</td><td class="column-5">Nov-26</td>
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									<p><strong>Let&#8217;s Jump into this! </strong><br />To be clear, this is not an exhaustive list of all relevant events to data visualisation. Partly because we&#8217;ve already missed a few, but also because there are far too many events happening globally to capture them all. But these are the ones on our radar!</p><p>We categorised the events into types:</p><ul><li><a href="#core_dataviz">Core Data Visualisation Conferences</a></li><li><a href="#mapping">Mapping, GIS &amp; Cartography Conferences</a></li><li><a href="#journalism">Journalism, Open Knowledge &amp; Civic Conferences</a></li><li><a href="#product">Design &amp; Product Conferences</a></li><li><a href="#climate">Climate &amp; Data Conferences</a></li><li><a href="#tool_specific">Tool Specific Conferences</a></li></ul>								</div>
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									<p><span style="text-decoration: underline;"><strong>CORE DATA VISUALISATION CONFERENCES</strong></span></p>								</div>
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									<p><strong>Outlier Conference 2026</strong></p>								</div>
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		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-5420dd4 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="5420dd4" data-element_type="section" data-e-type="section">
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			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-813933f elementor-widget elementor-widget-image" data-id="813933f" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="683" src="https://visualisingdata.com/wp-content/uploads/2026/03/Outlier-202320-1024x683.webp" class="attachment-large size-large wp-image-33129" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/Outlier-202320-1024x683.webp 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/Outlier-202320-300x200.webp 300w, https://visualisingdata.com/wp-content/uploads/2026/03/Outlier-202320-768x512.webp 768w, https://visualisingdata.com/wp-content/uploads/2026/03/Outlier-202320-1536x1024.webp 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/Outlier-202320-2048x1366.webp 2048w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-b508809" data-id="b508809" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-13fe3bf elementor-widget elementor-widget-image" data-id="13fe3bf" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1200" height="816" src="https://visualisingdata.com/wp-content/uploads/2026/03/outlier-group-e1774452937309.jpg" class="attachment-full size-full wp-image-33128" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/outlier-group-e1774452937309.jpg 1200w, https://visualisingdata.com/wp-content/uploads/2026/03/outlier-group-e1774452937309-300x204.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/outlier-group-e1774452937309-1024x696.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/outlier-group-e1774452937309-768x522.jpg 768w" sizes="(max-width: 1200px) 100vw, 1200px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-7e1c0b5" data-id="7e1c0b5" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-ae215f5 elementor-widget elementor-widget-image" data-id="ae215f5" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="683" src="https://visualisingdata.com/wp-content/uploads/2026/03/outlier-talk-1024x683.webp" class="attachment-large size-large wp-image-33127" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/outlier-talk-1024x683.webp 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/outlier-talk-300x200.webp 300w, https://visualisingdata.com/wp-content/uploads/2026/03/outlier-talk-768x512.webp 768w, https://visualisingdata.com/wp-content/uploads/2026/03/outlier-talk-1536x1024.webp 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/outlier-talk-2048x1366.webp 2048w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-79fa4db elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="79fa4db" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-53cc735" data-id="53cc735" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-b7bbeb9 elementor-widget elementor-widget-text-editor" data-id="b7bbeb9" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Online</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £400–£700</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: June 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? The flagship conference from the Data Visualisation Society. Strong balance of storytelling, craft, tools, and industry practice. A must for practitioners.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-521b92b elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="521b92b" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-aa6c2f9" data-id="aa6c2f9" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-f347872 elementor-widget elementor-widget-text-editor" data-id="f347872" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>EuroViz 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-a27575d elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="a27575d" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-d829d6b" data-id="d829d6b" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-1c8b76d elementor-widget elementor-widget-image" data-id="1c8b76d" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="576" src="https://visualisingdata.com/wp-content/uploads/2026/03/image27-1024x576.png" class="attachment-large size-large wp-image-33133" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image27-1024x576.png 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image27-300x169.png 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image27-768x432.png 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image27.png 1366w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-f29052f" data-id="f29052f" data-element_type="column" data-e-type="column">
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				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="684" src="https://visualisingdata.com/wp-content/uploads/2026/03/image30-1024x684.jpg" class="attachment-large size-large wp-image-33134" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image30-1024x684.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image30-300x200.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image30-768x513.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image30.jpg 1280w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-beae1e2" data-id="beae1e2" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-47e1795 elementor-widget elementor-widget-image" data-id="47e1795" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="800" height="600" src="https://visualisingdata.com/wp-content/uploads/2026/03/image31.jpg" class="attachment-large size-large wp-image-33135" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image31.jpg 800w, https://visualisingdata.com/wp-content/uploads/2026/03/image31-300x225.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image31-768x576.jpg 768w" sizes="(max-width: 800px) 100vw, 800px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-22d0801 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="22d0801" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-76cae6c" data-id="76cae6c" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-5ef22a1 elementor-widget elementor-widget-text-editor" data-id="5ef22a1" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Nottingham, UK</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £350–£700</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: June 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Europe’s leading academic visualisation conference. If you want cutting-edge research, methods, and experimental work, this is it.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-987cf9e elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="987cf9e" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0c1ddb7" data-id="0c1ddb7" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-3bae4fa elementor-widget elementor-widget-text-editor" data-id="3bae4fa" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>IEEE Viz 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-276fc70 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="276fc70" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
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						<div class="elementor-element elementor-element-baf9278 elementor-widget elementor-widget-image" data-id="baf9278" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="578" src="https://visualisingdata.com/wp-content/uploads/2026/03/image20-1024x578.png" class="attachment-large size-large wp-image-33137" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image20-1024x578.png 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image20-300x169.png 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image20-768x433.png 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image20.png 1200w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-165d0c7" data-id="165d0c7" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-4ce4242 elementor-widget elementor-widget-image" data-id="4ce4242" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="471" height="107" src="https://visualisingdata.com/wp-content/uploads/2026/03/image17.png" class="attachment-large size-large wp-image-33136" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image17.png 471w, https://visualisingdata.com/wp-content/uploads/2026/03/image17-300x68.png 300w" sizes="(max-width: 471px) 100vw, 471px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-07931e0" data-id="07931e0" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-af8854e elementor-widget elementor-widget-image" data-id="af8854e" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="600" height="386" src="https://visualisingdata.com/wp-content/uploads/2026/03/image36.png" class="attachment-large size-large wp-image-33138" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image36.png 600w, https://visualisingdata.com/wp-content/uploads/2026/03/image36-300x193.png 300w" sizes="(max-width: 600px) 100vw, 600px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-b934a9a elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="b934a9a" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-164f50b" data-id="164f50b" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-f4917d5 elementor-widget elementor-widget-text-editor" data-id="f4917d5" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Boston, USA</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £500–£900</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: November 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? The global research powerhouse for visual analytics, information visualisation, and scientific visualisation.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-60ce70b elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="60ce70b" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-94a799f" data-id="94a799f" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-d3b5efa elementor-widget elementor-widget-text-editor" data-id="d3b5efa" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>Viz Chitra 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-55acf6e elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="55acf6e" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-8a29483" data-id="8a29483" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-042bfe1 elementor-widget elementor-widget-image" data-id="042bfe1" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="538" src="https://visualisingdata.com/wp-content/uploads/2026/03/vizchitra-preview-1024x538.jpg" class="attachment-large size-large wp-image-33177" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/vizchitra-preview-1024x538.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/vizchitra-preview-300x158.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/vizchitra-preview-768x403.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/vizchitra-preview.jpg 1200w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-bfe53d2" data-id="bfe53d2" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-3a8bbdd elementor-widget elementor-widget-image" data-id="3a8bbdd" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="800" height="316" src="https://visualisingdata.com/wp-content/uploads/2026/03/1751961640569.jpeg" class="attachment-full size-full wp-image-33176" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/1751961640569.jpeg 800w, https://visualisingdata.com/wp-content/uploads/2026/03/1751961640569-300x119.jpeg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/1751961640569-768x303.jpeg 768w" sizes="(max-width: 800px) 100vw, 800px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-4410b07" data-id="4410b07" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-ef6bbf3 elementor-widget elementor-widget-image" data-id="ef6bbf3" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="576" src="https://visualisingdata.com/wp-content/uploads/2026/03/6cde7cc08a434886ab52bfaeac11afc0-1024x576.webp" class="attachment-large size-large wp-image-33178" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/6cde7cc08a434886ab52bfaeac11afc0-1024x576.webp 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/6cde7cc08a434886ab52bfaeac11afc0-300x169.webp 300w, https://visualisingdata.com/wp-content/uploads/2026/03/6cde7cc08a434886ab52bfaeac11afc0-768x432.webp 768w, https://visualisingdata.com/wp-content/uploads/2026/03/6cde7cc08a434886ab52bfaeac11afc0-1536x864.webp 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/6cde7cc08a434886ab52bfaeac11afc0.webp 1920w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-d44445d elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="d44445d" data-element_type="section" data-e-type="section">
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					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-162493e" data-id="162493e" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-96ec8b4 elementor-widget elementor-widget-text-editor" data-id="96ec8b4" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Bangalore, India</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £27+</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: 3rd &amp; 4th July, 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Experience Data viz from a non-western point of view, showcasing some of the brilliant practitioners in data throughout Southeast Asia</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-6801316 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="6801316" data-element_type="section" data-e-type="section">
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					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e0f356e" data-id="e0f356e" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-499ba95 elementor-widget elementor-widget-text-editor" data-id="499ba95" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<strong>&amp;MOVE (Graphic Hunters) 2026</strong>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-d826d02 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="d826d02" data-element_type="section" data-e-type="section">
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					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-b445bb1" data-id="b445bb1" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-681c399 elementor-widget elementor-widget-image" data-id="681c399" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="577" src="https://visualisingdata.com/wp-content/uploads/2026/03/20241115_112012-1024x577.jpg" class="attachment-large size-large wp-image-33180" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/20241115_112012-1024x577.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/20241115_112012-300x169.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/20241115_112012-768x432.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/20241115_112012-1536x865.jpg 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/20241115_112012-2048x1153.jpg 2048w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-38e0eb2" data-id="38e0eb2" data-element_type="column" data-e-type="column">
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				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="200" height="200" src="https://visualisingdata.com/wp-content/uploads/2026/03/1631330539962.jpeg" class="attachment-large size-large wp-image-33179" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/1631330539962.jpeg 200w, https://visualisingdata.com/wp-content/uploads/2026/03/1631330539962-150x150.jpeg 150w" sizes="(max-width: 200px) 100vw, 200px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-fb097ca" data-id="fb097ca" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-cb927e9 elementor-widget elementor-widget-image" data-id="cb927e9" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="577" src="https://visualisingdata.com/wp-content/uploads/2026/03/20241115_183728-1024x577.jpg" class="attachment-large size-large wp-image-33181" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/20241115_183728-1024x577.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/20241115_183728-300x169.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/20241115_183728-768x432.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/20241115_183728-1536x865.jpg 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/20241115_183728-2048x1153.jpg 2048w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-6b372c2 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="6b372c2" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-10e0164" data-id="10e0164" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-93b5e45 elementor-widget elementor-widget-text-editor" data-id="93b5e45" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Utrecht, Netherlands</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £363</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: 11th-12th July, 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? An intimate experience going into the personal stories and journeys of the dataviz practice through the eyes of international speakers.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-5bcf86b elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="5bcf86b" data-element_type="section" data-e-type="section">
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						<div class="elementor-element elementor-element-c44cbac elementor-widget elementor-widget-text-editor" data-id="c44cbac" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>Visualizing Complexity 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-fe0b17e elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="fe0b17e" data-element_type="section" data-e-type="section">
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					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-3d5ed16" data-id="3d5ed16" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-124c176 elementor-widget elementor-widget-image" data-id="124c176" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="712" src="https://visualisingdata.com/wp-content/uploads/2026/03/Complexity_Science_Hub_logo-1024x712.png" class="attachment-large size-large wp-image-33182" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/Complexity_Science_Hub_logo-1024x712.png 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/Complexity_Science_Hub_logo-300x209.png 300w, https://visualisingdata.com/wp-content/uploads/2026/03/Complexity_Science_Hub_logo-768x534.png 768w, https://visualisingdata.com/wp-content/uploads/2026/03/Complexity_Science_Hub_logo-1536x1069.png 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/Complexity_Science_Hub_logo.png 1880w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-8ee8d65" data-id="8ee8d65" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-1d8cede elementor-widget elementor-widget-image" data-id="1d8cede" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="683" src="https://visualisingdata.com/wp-content/uploads/2026/03/csh_20250304_studionext-192-1024x683.jpg" class="attachment-large size-large wp-image-33184" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/csh_20250304_studionext-192-1024x683.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/csh_20250304_studionext-192-300x200.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/csh_20250304_studionext-192-768x512.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/csh_20250304_studionext-192-1536x1025.jpg 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/csh_20250304_studionext-192.jpg 1800w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-7abbf50" data-id="7abbf50" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-708e57e elementor-widget elementor-widget-image" data-id="708e57e" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="267" src="https://visualisingdata.com/wp-content/uploads/2026/03/banner-1-1024x267.png" class="attachment-large size-large wp-image-33183" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/banner-1-1024x267.png 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/banner-1-300x78.png 300w, https://visualisingdata.com/wp-content/uploads/2026/03/banner-1-768x200.png 768w, https://visualisingdata.com/wp-content/uploads/2026/03/banner-1-1536x400.png 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/banner-1-2048x534.png 2048w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-f6c3476 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="f6c3476" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e60e82f" data-id="e60e82f" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-8a99d54 elementor-widget elementor-widget-text-editor" data-id="8a99d54" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Utrecht, Netherlands</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £363</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: 11th-12th July, 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? An intimate experience going into the personal stories and journeys of the dataviz practice through the eyes of international speakers.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-d1c8d3d elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="d1c8d3d" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5c3c186" data-id="5c3c186" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-bf7fdc9 elementor-widget elementor-widget-text-editor" data-id="bf7fdc9" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>Information Design Conference 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-cab8316 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="cab8316" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-96368aa" data-id="96368aa" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-1ea50d6 elementor-widget elementor-widget-image" data-id="1ea50d6" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1600" height="1200" src="https://visualisingdata.com/wp-content/uploads/2026/03/57c811_1ee24d7019604902a83b1f81bff1b40dmv2.jpg" class="attachment-full size-full wp-image-33186" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/57c811_1ee24d7019604902a83b1f81bff1b40dmv2.jpg 1600w, https://visualisingdata.com/wp-content/uploads/2026/03/57c811_1ee24d7019604902a83b1f81bff1b40dmv2-300x225.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/57c811_1ee24d7019604902a83b1f81bff1b40dmv2-1024x768.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/57c811_1ee24d7019604902a83b1f81bff1b40dmv2-768x576.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/57c811_1ee24d7019604902a83b1f81bff1b40dmv2-1536x1152.jpg 1536w" sizes="(max-width: 1600px) 100vw, 1600px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-9c24d05" data-id="9c24d05" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-0a47c18 elementor-widget elementor-widget-image" data-id="0a47c18" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="262" src="https://visualisingdata.com/wp-content/uploads/2026/03/310cf3_68484f3346f74685b4389f57027e71d8mv2-1024x262.jpg" class="attachment-large size-large wp-image-33187" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/310cf3_68484f3346f74685b4389f57027e71d8mv2-1024x262.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/310cf3_68484f3346f74685b4389f57027e71d8mv2-300x77.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/310cf3_68484f3346f74685b4389f57027e71d8mv2-768x196.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/310cf3_68484f3346f74685b4389f57027e71d8mv2-1536x392.jpg 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/310cf3_68484f3346f74685b4389f57027e71d8mv2-2048x523.jpg 2048w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-30e6569" data-id="30e6569" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-f079c1e elementor-widget elementor-widget-image" data-id="f079c1e" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="800" height="799" src="https://visualisingdata.com/wp-content/uploads/2026/03/1774007604879.jpeg" class="attachment-large size-large wp-image-33185" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/1774007604879.jpeg 800w, https://visualisingdata.com/wp-content/uploads/2026/03/1774007604879-300x300.jpeg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/1774007604879-150x150.jpeg 150w, https://visualisingdata.com/wp-content/uploads/2026/03/1774007604879-768x767.jpeg 768w" sizes="(max-width: 800px) 100vw, 800px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-897a2e1 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="897a2e1" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f0eb679" data-id="f0eb679" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-b6fb492 elementor-widget elementor-widget-text-editor" data-id="b6fb492" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Hilversum, Netherlands</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: TBC</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: October 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? A focus on the role of information design in AI and policy making</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-658b774 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="658b774" data-element_type="section" data-e-type="section">
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			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-43e01e9 elementor-widget elementor-widget-text-editor" data-id="43e01e9" data-element_type="widget" data-e-type="widget" id="mapping" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><span style="text-decoration: underline;"><strong>MAPPING, GIS &amp; CARTOGRAPHY</strong></span></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-2848d6c elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="2848d6c" data-element_type="section" data-e-type="section">
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						<div class="elementor-element elementor-element-04d0d80 elementor-widget elementor-widget-text-editor" data-id="04d0d80" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>State of the Map 2026</strong></p>								</div>
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					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-9e05a5a elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="9e05a5a" data-element_type="section" data-e-type="section">
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						<div class="elementor-element elementor-element-e14ace4 elementor-widget elementor-widget-image" data-id="e14ace4" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1920" height="1080" src="https://visualisingdata.com/wp-content/uploads/2026/03/image38.jpg" class="attachment-full size-full wp-image-33140" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image38.jpg 1920w, https://visualisingdata.com/wp-content/uploads/2026/03/image38-300x169.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image38-1024x576.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image38-768x432.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image38-1536x864.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" />															</div>
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				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-6aa469c" data-id="6aa469c" data-element_type="column" data-e-type="column">
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				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="800" height="1000" src="https://visualisingdata.com/wp-content/uploads/2026/03/1772028337689.jpeg" class="attachment-large size-large wp-image-33189" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/1772028337689.jpeg 800w, https://visualisingdata.com/wp-content/uploads/2026/03/1772028337689-240x300.jpeg 240w, https://visualisingdata.com/wp-content/uploads/2026/03/1772028337689-768x960.jpeg 768w" sizes="(max-width: 800px) 100vw, 800px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-2b891f7" data-id="2b891f7" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-d6cbc06 elementor-widget elementor-widget-image" data-id="d6cbc06" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="638" src="https://visualisingdata.com/wp-content/uploads/2026/03/sotm-1024x638.jpeg" class="attachment-large size-large wp-image-33188" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/sotm-1024x638.jpeg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/sotm-300x187.jpeg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/sotm-768x479.jpeg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/sotm.jpeg 1200w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-94bfb34 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="94bfb34" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8b04fc5" data-id="8b04fc5" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-01a2d1f elementor-widget elementor-widget-text-editor" data-id="01a2d1f" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Paris &amp; Online</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £200–£450</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: August 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? The OpenStreetMap global gathering community-driven mapping and civic data.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-e8a42c2 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="e8a42c2" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b464886" data-id="b464886" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-b61f962 elementor-widget elementor-widget-text-editor" data-id="b61f962" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>FOSS4G 2026</strong></p>								</div>
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					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-5298c53 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="5298c53" data-element_type="section" data-e-type="section">
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						<div class="elementor-element elementor-element-dcb01f8 elementor-widget elementor-widget-image" data-id="dcb01f8" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1020" height="768" src="https://visualisingdata.com/wp-content/uploads/2026/03/image11.jpg" class="attachment-large size-large wp-image-33143" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image11.jpg 1020w, https://visualisingdata.com/wp-content/uploads/2026/03/image11-300x226.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image11-768x578.jpg 768w" sizes="(max-width: 1020px) 100vw, 1020px" />															</div>
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				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="576" src="https://visualisingdata.com/wp-content/uploads/2026/03/image4.jpg" class="attachment-full size-full wp-image-33142" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image4.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image4-300x169.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image4-768x432.jpg 768w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
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				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-8fef537" data-id="8fef537" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-d64e6fb elementor-widget elementor-widget-image" data-id="d64e6fb" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1020" height="768" src="https://visualisingdata.com/wp-content/uploads/2026/03/image3.jpg" class="attachment-large size-large wp-image-33141" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image3.jpg 1020w, https://visualisingdata.com/wp-content/uploads/2026/03/image3-300x226.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image3-768x578.jpg 768w" sizes="(max-width: 1020px) 100vw, 1020px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-379f670 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="379f670" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c393536" data-id="c393536" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-5b91821 elementor-widget elementor-widget-text-editor" data-id="5b91821" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Japan</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £300–£600</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: Aug–Sep 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Open-source GIS tools, geospatial devs, and mapping innovation.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-4317ee6 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="4317ee6" data-element_type="section" data-e-type="section">
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						<div class="elementor-element elementor-element-0473a30 elementor-widget elementor-widget-text-editor" data-id="0473a30" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>Esri User Conference 2026</strong></p>								</div>
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					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-b01004b elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="b01004b" data-element_type="section" data-e-type="section">
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						<div class="elementor-element elementor-element-fb0b1ac elementor-widget elementor-widget-image" data-id="fb0b1ac" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="800" height="420" src="https://visualisingdata.com/wp-content/uploads/2026/03/uc26-social-share.jpg" class="attachment-large size-large wp-image-33192" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/uc26-social-share.jpg 800w, https://visualisingdata.com/wp-content/uploads/2026/03/uc26-social-share-300x158.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/uc26-social-share-768x403.jpg 768w" sizes="(max-width: 800px) 100vw, 800px" />															</div>
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				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-e67cdfb" data-id="e67cdfb" data-element_type="column" data-e-type="column">
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				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="768" height="387" src="https://visualisingdata.com/wp-content/uploads/2026/03/arcnews-article-unitingtheworld-1-768x387-1.jpg" class="attachment-large size-large wp-image-33190" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/arcnews-article-unitingtheworld-1-768x387-1.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/arcnews-article-unitingtheworld-1-768x387-1-300x151.jpg 300w" sizes="(max-width: 768px) 100vw, 768px" />															</div>
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				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-fafb9ad" data-id="fafb9ad" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-795c5d0 elementor-widget elementor-widget-image" data-id="795c5d0" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1508" height="1039" src="https://visualisingdata.com/wp-content/uploads/2026/03/esriuc2026.jpg" class="attachment-full size-full wp-image-33191" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/esriuc2026.jpg 1508w, https://visualisingdata.com/wp-content/uploads/2026/03/esriuc2026-300x207.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/esriuc2026-1024x706.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/esriuc2026-768x529.jpg 768w" sizes="(max-width: 1508px) 100vw, 1508px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-2e10fe7 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="2e10fe7" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3868cf8" data-id="3868cf8" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-6479f23 elementor-widget elementor-widget-text-editor" data-id="6479f23" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: San Diego, USA</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £1,200–£1,700</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: July 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? The enterprise GIS powerhouse event.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-b98960d elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="b98960d" data-element_type="section" data-e-type="section">
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					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b8ce3f9" data-id="b8ce3f9" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-76fa151 elementor-widget elementor-widget-text-editor" data-id="76fa151" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>British Cartographic Society Conference 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-2410e6c elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="2410e6c" data-element_type="section" data-e-type="section">
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						<div class="elementor-element elementor-element-5cefa6f elementor-widget elementor-widget-image" data-id="5cefa6f" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="640" height="210" src="https://visualisingdata.com/wp-content/uploads/2026/03/image39.jpg" class="attachment-large size-large wp-image-33144" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image39.jpg 640w, https://visualisingdata.com/wp-content/uploads/2026/03/image39-300x98.jpg 300w" sizes="(max-width: 640px) 100vw, 640px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-d42913e" data-id="d42913e" data-element_type="column" data-e-type="column">
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						<div class="elementor-element elementor-element-476d0a7 elementor-widget elementor-widget-image" data-id="476d0a7" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="576" src="https://visualisingdata.com/wp-content/uploads/2026/03/image13-1024x576.png" class="attachment-large size-large wp-image-33145" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image13-1024x576.png 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image13-300x169.png 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image13-768x432.png 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image13.png 1280w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-d62d925 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="d62d925" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f0ace80" data-id="f0ace80" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-ff61f67 elementor-widget elementor-widget-text-editor" data-id="ff61f67" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Edinburgh</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £250–£500</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: September 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? A strong UK-based cartography community.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-76adb2a elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="76adb2a" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8da7ba1" data-id="8da7ba1" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-dd8bdb9 elementor-widget elementor-widget-text-editor" data-id="dd8bdb9" data-element_type="widget" data-e-type="widget" id="journalism" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><span style="text-decoration: underline;"><strong>Journalism, Open Knowledge &amp; Civic tech Conferences</strong></span></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-aa8d413 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="aa8d413" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2a35fb2" data-id="2a35fb2" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-4b2aad1 elementor-widget elementor-widget-text-editor" data-id="4b2aad1" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>Wikimania 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-53e2e16 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="53e2e16" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-9eb6277" data-id="9eb6277" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-64f21e4 elementor-widget elementor-widget-image" data-id="64f21e4" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="844" src="https://visualisingdata.com/wp-content/uploads/2026/03/image21-1024x844.jpg" class="attachment-large size-large wp-image-33147" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image21-1024x844.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image21-300x247.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image21-768x633.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image21.jpg 1280w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-5b9cdcb" data-id="5b9cdcb" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-1a059a8 elementor-widget elementor-widget-image" data-id="1a059a8" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="869" height="1024" src="https://visualisingdata.com/wp-content/uploads/2026/03/image19-869x1024.jpg" class="attachment-large size-large wp-image-33148" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image19-869x1024.jpg 869w, https://visualisingdata.com/wp-content/uploads/2026/03/image19-255x300.jpg 255w, https://visualisingdata.com/wp-content/uploads/2026/03/image19-768x905.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image19-1304x1536.jpg 1304w, https://visualisingdata.com/wp-content/uploads/2026/03/image19.jpg 1697w" sizes="(max-width: 869px) 100vw, 869px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-b1f50f2" data-id="b1f50f2" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-660a3e4 elementor-widget elementor-widget-image" data-id="660a3e4" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1280" height="854" src="https://visualisingdata.com/wp-content/uploads/2026/03/image7.jpg" class="attachment-full size-full wp-image-33146" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image7.jpg 1280w, https://visualisingdata.com/wp-content/uploads/2026/03/image7-300x200.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image7-1024x683.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image7-768x512.jpg 768w" sizes="(max-width: 1280px) 100vw, 1280px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-5360071 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="5360071" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7282aff" data-id="7282aff" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-188d641 elementor-widget elementor-widget-text-editor" data-id="188d641" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Paris</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £200–£500</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: July 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Open knowledge, open data, and collaborative information ecosystems.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-9df2ce7 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="9df2ce7" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7c7db1c" data-id="7c7db1c" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-ba7e823 elementor-widget elementor-widget-text-editor" data-id="ba7e823" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>MozFest 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-7ca9719 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="7ca9719" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-22e9a87" data-id="22e9a87" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-04e0062 elementor-widget elementor-widget-image" data-id="04e0062" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="799" height="533" src="https://visualisingdata.com/wp-content/uploads/2026/03/image22.jpg" class="attachment-large size-large wp-image-33151" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image22.jpg 799w, https://visualisingdata.com/wp-content/uploads/2026/03/image22-300x200.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image22-768x512.jpg 768w" sizes="(max-width: 799px) 100vw, 799px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-7521709" data-id="7521709" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-62311e8 elementor-widget elementor-widget-image" data-id="62311e8" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="921" src="https://visualisingdata.com/wp-content/uploads/2026/03/image23-1024x921.jpg" class="attachment-large size-large wp-image-33149" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image23-1024x921.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image23-300x270.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image23-768x691.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image23.jpg 1355w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-b8e6cf5" data-id="b8e6cf5" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-dbe96e9 elementor-widget elementor-widget-image" data-id="dbe96e9" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="683" src="https://visualisingdata.com/wp-content/uploads/2026/03/image32.jpg" class="attachment-full size-full wp-image-33150" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image32.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image32-300x200.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image32-768x512.jpg 768w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-c971d9d elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="c971d9d" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3595729" data-id="3595729" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-e93de57 elementor-widget elementor-widget-text-editor" data-id="e93de57" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Barcelona</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £0–£300</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: October 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Intersection of internet culture, tech ethics, civic data, and digital rights.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-c97c10e elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="c97c10e" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-475c7e0" data-id="475c7e0" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-08b2bfe elementor-widget elementor-widget-text-editor" data-id="08b2bfe" data-element_type="widget" data-e-type="widget" id="product" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><span style="text-decoration: underline;"><strong>Design &amp; Product Conferences</strong></span></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-3a30f41 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="3a30f41" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cb16388" data-id="cb16388" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-2d1b38b elementor-widget elementor-widget-text-editor" data-id="2d1b38b" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>Figma Config 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-4004214 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="4004214" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-84c63c0" data-id="84c63c0" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-a9238ab elementor-widget elementor-widget-image" data-id="a9238ab" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="300" height="168" src="https://visualisingdata.com/wp-content/uploads/2026/03/image42.jpg" class="attachment-large size-large wp-image-33153" alt="" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-1bdf05e" data-id="1bdf05e" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-e0a7012 elementor-widget elementor-widget-image" data-id="e0a7012" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="683" src="https://visualisingdata.com/wp-content/uploads/2026/03/image10-1024x683.jpg" class="attachment-large size-large wp-image-33152" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image10-1024x683.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image10-300x200.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image10-768x513.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image10-1536x1025.jpg 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/image10.jpg 1999w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-db48215" data-id="db48215" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-6857deb elementor-widget elementor-widget-image" data-id="6857deb" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1440" height="920" src="https://visualisingdata.com/wp-content/uploads/2026/03/image26.jpg" class="attachment-full size-full wp-image-33154" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image26.jpg 1440w, https://visualisingdata.com/wp-content/uploads/2026/03/image26-300x192.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image26-1024x654.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image26-768x491.jpg 768w" sizes="(max-width: 1440px) 100vw, 1440px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-a3b75ed elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="a3b75ed" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-96684e7" data-id="96684e7" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-37526f9 elementor-widget elementor-widget-text-editor" data-id="37526f9" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: San Francisco / Hybrid</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £0–£500</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: June 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? UI design, product systems, and increasingly data-rich interfaces.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-1d19aae elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="1d19aae" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-107b614" data-id="107b614" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-ec6f8e1 elementor-widget elementor-widget-text-editor" data-id="ec6f8e1" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>UX London</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-be6e05a elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="be6e05a" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-d26be59" data-id="d26be59" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-1615fbf elementor-widget elementor-widget-image" data-id="1615fbf" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="450" height="222" src="https://visualisingdata.com/wp-content/uploads/2026/03/image6.jpg" class="attachment-large size-large wp-image-33155" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image6.jpg 450w, https://visualisingdata.com/wp-content/uploads/2026/03/image6-300x148.jpg 300w" sizes="(max-width: 450px) 100vw, 450px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-e6a4490" data-id="e6a4490" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-1452a28 elementor-widget elementor-widget-image" data-id="1452a28" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="250" height="250" src="https://visualisingdata.com/wp-content/uploads/2026/03/image14.jpg" class="attachment-large size-large wp-image-33156" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image14.jpg 250w, https://visualisingdata.com/wp-content/uploads/2026/03/image14-150x150.jpg 150w" sizes="(max-width: 250px) 100vw, 250px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-e1f9c06" data-id="e1f9c06" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-1100ff8 elementor-widget elementor-widget-image" data-id="1100ff8" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1152" height="648" src="https://visualisingdata.com/wp-content/uploads/2026/03/image2.jpg" class="attachment-full size-full wp-image-33157" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image2.jpg 1152w, https://visualisingdata.com/wp-content/uploads/2026/03/image2-300x169.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image2-1024x576.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image2-768x432.jpg 768w" sizes="(max-width: 1152px) 100vw, 1152px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-bc4ee75 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="bc4ee75" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8a9ddc5" data-id="8a9ddc5" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-548f98c elementor-widget elementor-widget-text-editor" data-id="548f98c" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: London, UK</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £600–£1,000</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: June 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Excellent for user-centred design and product thinking around dashboards and data tools.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-69af4d0 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="69af4d0" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d7f7306" data-id="d7f7306" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-cf6be0b elementor-widget elementor-widget-text-editor" data-id="cf6be0b" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>Smashing Conference</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-6842595 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="6842595" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-651b45f" data-id="651b45f" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-88bc971 elementor-widget elementor-widget-image" data-id="88bc971" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="600" height="400" src="https://visualisingdata.com/wp-content/uploads/2026/03/image18.jpg" class="attachment-large size-large wp-image-33159" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image18.jpg 600w, https://visualisingdata.com/wp-content/uploads/2026/03/image18-300x200.jpg 300w" sizes="(max-width: 600px) 100vw, 600px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-5dfdf78" data-id="5dfdf78" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-2ba5e95 elementor-widget elementor-widget-image" data-id="2ba5e95" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="771" src="https://visualisingdata.com/wp-content/uploads/2026/03/image12-1024x771.jpg" class="attachment-large size-large wp-image-33158" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image12-1024x771.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image12-300x226.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image12-768x578.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image12-1536x1156.jpg 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/image12.jpg 1999w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-4831a6d" data-id="4831a6d" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-f1c51a3 elementor-widget elementor-widget-image" data-id="f1c51a3" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1999" height="1278" src="https://visualisingdata.com/wp-content/uploads/2026/03/image15.jpg" class="attachment-full size-full wp-image-33160" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image15.jpg 1999w, https://visualisingdata.com/wp-content/uploads/2026/03/image15-300x192.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image15-1024x655.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image15-768x491.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image15-1536x982.jpg 1536w" sizes="(max-width: 1999px) 100vw, 1999px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-99e2787 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="99e2787" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f3bdb8b" data-id="f3bdb8b" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-c7e6cb1 elementor-widget elementor-widget-text-editor" data-id="c7e6cb1" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Amsterdam, Belgium, Germany</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £700–£1,100</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: April 2026, October 2026, September 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Front-end, UX, accessibility, a great crossover for interactive data viz.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-1a2a825 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="1a2a825" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-80e114c" data-id="80e114c" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-a058478 elementor-widget elementor-widget-text-editor" data-id="a058478" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>SIGGRAPH 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-da17c14 elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="da17c14" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-3b7ff83" data-id="3b7ff83" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-5a91a3e elementor-widget elementor-widget-image" data-id="5a91a3e" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="576" src="https://visualisingdata.com/wp-content/uploads/2026/03/image40-1024x576.jpg" class="attachment-large size-large wp-image-33161" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image40-1024x576.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image40-300x169.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image40-768x432.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image40.jpg 1205w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-3fe0a6c" data-id="3fe0a6c" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-34291c6 elementor-widget elementor-widget-image" data-id="34291c6" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="768" src="https://visualisingdata.com/wp-content/uploads/2026/03/image29-1024x768.jpg" class="attachment-large size-large wp-image-33163" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image29-1024x768.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image29-300x225.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image29-768x576.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image29-1536x1152.jpg 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/image29.jpg 1920w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-5aae105" data-id="5aae105" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-e52f637 elementor-widget elementor-widget-image" data-id="e52f637" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1999" height="1278" src="https://visualisingdata.com/wp-content/uploads/2026/03/image15.jpg" class="attachment-full size-full wp-image-33160" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image15.jpg 1999w, https://visualisingdata.com/wp-content/uploads/2026/03/image15-300x192.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image15-1024x655.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image15-768x491.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image15-1536x982.jpg 1536w" sizes="(max-width: 1999px) 100vw, 1999px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-1ba4c0f elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="1ba4c0f" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-581019f" data-id="581019f" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-8704778 elementor-widget elementor-widget-text-editor" data-id="8704778" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: LA, California</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: £700–£1,200</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: July 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Computer graphics, simulation, immersive environments, powerful inspiration for 3D and spatial data work.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-90f4520 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="90f4520" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fb97a80" data-id="fb97a80" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-bd2787a elementor-widget elementor-widget-text-editor" data-id="bd2787a" data-element_type="widget" data-e-type="widget" id="climate" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><span style="text-decoration: underline;"><strong>CLIMATE &amp; DATA Conferences</strong></span></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-7361dbb elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="7361dbb" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8ecc43e" data-id="8ecc43e" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-e667242 elementor-widget elementor-widget-text-editor" data-id="e667242" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><strong>Visualising Climate 2026</strong></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-7710b9b elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="7710b9b" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-846bf23" data-id="846bf23" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-e38bda7 elementor-widget elementor-widget-image" data-id="e38bda7" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="576" src="https://visualisingdata.com/wp-content/uploads/2026/03/image35-1024x576.jpg" class="attachment-large size-large wp-image-33165" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image35-1024x576.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image35-300x169.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image35-768x432.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image35-1536x864.jpg 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/image35.jpg 1999w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-a0f2568" data-id="a0f2568" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-535f016 elementor-widget elementor-widget-image" data-id="535f016" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="1024" height="538" src="https://visualisingdata.com/wp-content/uploads/2026/03/image34-1024x538.png" class="attachment-large size-large wp-image-33164" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image34-1024x538.png 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image34-300x158.png 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image34-768x403.png 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image34-1536x807.png 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/image34.png 1999w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
				</div>
					</div>
		</div>
				<div class="elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-2c0706f" data-id="2c0706f" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-f3ebcfb elementor-widget elementor-widget-image" data-id="f3ebcfb" data-element_type="widget" data-e-type="widget" data-widget_type="image.default">
				<div class="elementor-widget-container">
															<img loading="lazy" decoding="async" width="740" height="415" src="https://visualisingdata.com/wp-content/uploads/2026/03/image9.jpg" class="attachment-full size-full wp-image-33166" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image9.jpg 740w, https://visualisingdata.com/wp-content/uploads/2026/03/image9-300x168.jpg 300w" sizes="(max-width: 740px) 100vw, 740px" />															</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-d91015f elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="d91015f" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9f5ed84" data-id="9f5ed84" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-1f11885 elementor-widget elementor-widget-text-editor" data-id="1f11885" data-element_type="widget" data-e-type="widget" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Bologna, Italy</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: ~$400</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: November 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Focused climate data visualisation and science communication.</span></li></ul>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-471a69d elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="471a69d" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
					<div class="elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0df9c6d" data-id="0df9c6d" data-element_type="column" data-e-type="column">
			<div class="elementor-widget-wrap elementor-element-populated">
						<div class="elementor-element elementor-element-a272a43 elementor-widget elementor-widget-text-editor" data-id="a272a43" data-element_type="widget" data-e-type="widget" id="tool_specific" data-widget_type="text-editor.default">
				<div class="elementor-widget-container">
									<p><span style="text-decoration: underline;"><strong>TOOL SPECIFIC CONFERENCEs</strong></span></p>								</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				<section class="elementor-section elementor-top-section elementor-element elementor-element-6a02c22 elementor-section-boxed elementor-section-height-default elementor-section-height-default" data-id="6a02c22" data-element_type="section" data-e-type="section">
						<div class="elementor-container elementor-column-gap-default">
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									<p><strong>Canva Create 2026</strong></p>								</div>
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															<img loading="lazy" decoding="async" width="1024" height="737" src="https://visualisingdata.com/wp-content/uploads/2026/03/image1-1024x737.jpg" class="attachment-large size-large wp-image-33168" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image1-1024x737.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/image1-300x216.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/image1-768x553.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image1.jpg 1456w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
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															<img loading="lazy" decoding="async" width="773" height="1024" src="https://visualisingdata.com/wp-content/uploads/2026/03/image33-773x1024.jpg" class="attachment-large size-large wp-image-33167" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/image33-773x1024.jpg 773w, https://visualisingdata.com/wp-content/uploads/2026/03/image33-227x300.jpg 227w, https://visualisingdata.com/wp-content/uploads/2026/03/image33-768x1017.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/image33-1160x1536.jpg 1160w, https://visualisingdata.com/wp-content/uploads/2026/03/image33.jpg 1236w" sizes="(max-width: 773px) 100vw, 773px" />															</div>
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															<img loading="lazy" decoding="async" width="1920" height="1080" src="https://visualisingdata.com/wp-content/uploads/2026/03/canva-design-dna.jpg" class="attachment-full size-full wp-image-33169" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/canva-design-dna.jpg 1920w, https://visualisingdata.com/wp-content/uploads/2026/03/canva-design-dna-300x169.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/03/canva-design-dna-1024x576.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/canva-design-dna-768x432.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/03/canva-design-dna-1536x864.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" />															</div>
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									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: Los Angeles, USA</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: ~$395</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: April 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Democratised design tools increasingly relevant for lightweight data storytelling.</span></li></ul>								</div>
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									<p><strong>Tableau Conference 2026</strong></p>								</div>
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															<img loading="lazy" decoding="async" width="1024" height="581" src="https://visualisingdata.com/wp-content/uploads/2026/03/tableau-marquee-bg-poster-1024x581.webp" class="attachment-large size-large wp-image-33171" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/tableau-marquee-bg-poster-1024x581.webp 1024w, https://visualisingdata.com/wp-content/uploads/2026/03/tableau-marquee-bg-poster-300x170.webp 300w, https://visualisingdata.com/wp-content/uploads/2026/03/tableau-marquee-bg-poster-768x436.webp 768w, https://visualisingdata.com/wp-content/uploads/2026/03/tableau-marquee-bg-poster-1536x872.webp 1536w, https://visualisingdata.com/wp-content/uploads/2026/03/tableau-marquee-bg-poster-2048x1162.webp 2048w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
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															<img loading="lazy" decoding="async" width="960" height="535" src="https://visualisingdata.com/wp-content/uploads/2026/03/TableauConference2026.webp" class="attachment-full size-full wp-image-33170" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/TableauConference2026.webp 960w, https://visualisingdata.com/wp-content/uploads/2026/03/TableauConference2026-300x167.webp 300w, https://visualisingdata.com/wp-content/uploads/2026/03/TableauConference2026-768x428.webp 768w" sizes="(max-width: 960px) 100vw, 960px" />															</div>
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															<img loading="lazy" decoding="async" width="465" height="260" src="https://visualisingdata.com/wp-content/uploads/2026/03/TC25-Announcements-Blog-list-image.png" class="attachment-large size-large wp-image-33172" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/03/TC25-Announcements-Blog-list-image.png 465w, https://visualisingdata.com/wp-content/uploads/2026/03/TC25-Announcements-Blog-list-image-300x168.png 300w" sizes="(max-width: 465px) 100vw, 465px" />															</div>
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									<ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Location: San Diego, USA</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Cost: $1,499–$1,799</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Date: May 2026</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Why go? Enterprise analytics, dashboards, and product ecosystem.</span></li></ul>								</div>
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									<p><strong>Final Thoughts</strong><br />If you made it to the end, then hats off to you!</p><p>This list is not exhaustive by any means but in creating this list one thing is abudently clear. Data visualisation is not limited by industry, it acts as a crossroads:</p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Research + academia</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Journalism + civic tech</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">GIS + mapping</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Creative coding</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Product design</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Climate science</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Enterprise analytics</span></li></ul><p><span style="font-weight: 400;">Where you go depends on where you want your practice to grow.</span></p><p><span style="font-weight: 400;">If you’re building tools → go technical.</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">If you’re telling stories → go narrative.</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">If you’re building community → go hybrid.</span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">If you’re pushing the craft → go where the experiments are.</span></p><p><span style="font-weight: 400;">And if you’re serious about the future of data storytelling in 2026…</span><span style="font-weight: 400;"><br /></span></p><p><span style="font-weight: 400;">Start booking early.</span></p>								</div>
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		<p>The post <a href="https://visualisingdata.com/2026/03/data-visualisation-events-to-look-out-for-in-2026/">Data Visualisation Events to Look Out for in 2026</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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		<title>Explore Explain S6E7 – Moritz Stefaner &#038; Enrico Bertini (Part 1)</title>
		<link>https://visualisingdata.com/2026/03/explore-explain-s6e7-moritz-stefaner-enrico-bertini-part-1/</link>
		
		<dc:creator><![CDATA[Andy Kirk]]></dc:creator>
		<pubDate>Fri, 20 Mar 2026 14:19:18 +0000</pubDate>
				<category><![CDATA[Podcast]]></category>
		<category><![CDATA[Season6]]></category>
		<category><![CDATA[Latest]]></category>
		<category><![CDATA[Prepared]]></category>
		<guid isPermaLink="false">https://visualisingdata.com/?p=33099</guid>

					<description><![CDATA[<p>Welcome to episode 7 of season 6 of Explore Explain, a long-form video and podcast series all about data visualisation design. This is the first of a special two-part episode featuring my esteemed guests, Moritz Stefaner, 'Truth &#038; Beauty Operator' based in Germany, and Enrico Bertini, Associate Professor, Data Visualization Researcher and Educator at Northeastern University in the USA.</p>
<p>The post <a href="https://visualisingdata.com/2026/03/explore-explain-s6e7-moritz-stefaner-enrico-bertini-part-1/">Explore Explain S6E7 – Moritz Stefaner &amp; Enrico Bertini (Part 1)</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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									<p>This is the first of a special two-part episode featuring my esteemed guests, <a href="https://truth-and-beauty.net/" target="_blank" rel="noopener">Moritz Stefaner</a>, &#8216;Truth &amp; Beauty Operator&#8217; based in Germany, and <a href="https://enrico.bertini.io/" target="_blank" rel="noopener">Enrico Bertini</a>, Associate Professor, Data Visualization Researcher and Educator at Northeastern University in the USA.</p>
<p>The conversations explored Moritz and Enrico&#8217;s respective selections of FIVE significant visualisation-related works, produced by other people, that have most influentially shaped their thinking about data visualisation. They then each offer a further +1 selection from their own body of work that they felt had had most significance on their career story.</p>								</div>
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									<p>In this first-part episode we covered Moritz’s selections as follows:</p><ul><li>#1 <a href="https://www.bewitched.com/song.html">Shape of Song</a> (2001) &#8211; Martin Wattenberg (related <a href="http://hint.fm/papers/arc-diagrams.pdf" target="_blank" rel="noopener">paper</a>)</li><li>#2 <a href="http://www.wefeelfine.org/" target="_blank" rel="noopener">We feel fine</a> (2006) &#8211; Jonathan Harris and Sep Kamvar (related <a href="https://www.youtube.com/watch?v=vi8WrnWNSzU" target="_blank" rel="noopener">video</a>)</li><li>#3 <a href="https://www.explainxkcd.com/wiki/index.php/832:_Tic-Tac-Toe" target="_blank" rel="noopener">xkcd: tic tac toe</a> (2012/13?) &#8211; Randall Munroe</li><li>#4 <a href="https://www.nytimes.com/interactive/2015/05/28/upshot/you-draw-it-how-family-income-affects-childrens-college-chances.html" target="_blank" rel="noopener">You draw it</a> (2015) &#8211; Gregor Aisch, Amanda Cox, Kevin Quealy</li><li>#5 <a href="https://en.wikipedia.org/wiki/Warming_stripes" target="_blank" rel="noopener">Warming stripes</a> (2018) &#8211; Inspired by Ellie Highwood, then conceived, executed and popularised by Ed Hawkins.</li><li>+1 <a href="https://www.youtube.com/watch?v=VG-Nzgl_enY">Organic Link Network</a> (2002) &#8211; Moritz Stefaner</li></ul>								</div>
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									You can watch and/or listen to the second part, featuring Enrico&#8217;s selections, <a href="https://visualisingdata.com/2026/03/explore-explain-s6e8-moritz-stefaner-enrico-bertini-part-2/">here</a>.								</div>
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									<p>You can watch this episode using the embedded player below or over on the dedicated Explore Explain <a href="https://www.youtube.com/c/exploreexplain">Youtube channel</a>, where you&#8217;ll find all the other video-based episodes and curated playlists.</p>								</div>
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					<h3 class="elementor-heading-title elementor-size-default">Audio Conversation</h3>				</div>
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									<p>To listen directly, visit this <a href="https://pod.co/exploreexplain/s6e7-moritz-stefaner-enrico-bertini" target="_blank" rel="noopener">link</a> or use the embedded podcast player below. The audio podcast is published across all common platforms (such as Apple, <span style="color: var( --e-global-color-secondary ); background-color: var( --e-global-color-primary ); font-family: var( --e-global-typography-primary-font-family ), Sans-serif; font-size: var( --e-global-typography-primary-font-size ); font-weight: var( --e-global-typography-primary-font-weight ); word-spacing: var( --e-global-typography-primary-word-spacing );">Spotify, </span><span style="font-style: inherit; font-weight: inherit; color: var( --e-global-color-secondary ); background-color: var( --e-global-color-primary ); font-family: var( --e-global-typography-primary-font-family ), Sans-serif; word-spacing: var( --e-global-typography-primary-word-spacing );">Amazon Music etc.), so you will find this series listed in their respective directories by searching for &#8216;Explore Explain&#8217; or by manually entering &#8211; or copying/pasting &#8211; this url to your subscriptions &#8211; https://feed.pod.co/exploreexplain.</span></p>								</div>
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		<p>The post <a href="https://visualisingdata.com/2026/03/explore-explain-s6e7-moritz-stefaner-enrico-bertini-part-1/">Explore Explain S6E7 – Moritz Stefaner &amp; Enrico Bertini (Part 1)</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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		<title>The February 2026 newsletter is now open to all</title>
		<link>https://visualisingdata.com/2026/03/the-february-2026-newsletter-is-now-open-to-all/</link>
		
		<dc:creator><![CDATA[Andy Kirk]]></dc:creator>
		<pubDate>Wed, 11 Mar 2026 09:27:38 +0000</pubDate>
				<category><![CDATA[Newsletter]]></category>
		<category><![CDATA[2026]]></category>
		<category><![CDATA[Prepared]]></category>
		<guid isPermaLink="false">https://visualisingdata.com/?p=33080</guid>

					<description><![CDATA[<p>My February newsletter, sent out to subscribers at the end of last month, is now open for all to read. You can access this issue, as well as visit the growing catalogue of previous issues, on the Newsletter page.</p>
<p>The post <a href="https://visualisingdata.com/2026/03/the-february-2026-newsletter-is-now-open-to-all/">The February 2026 newsletter is now open to all</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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									<p>My <a href="https://visualisingdata.kit.com/posts/the-visualising-data-newsletter-issue-22-february-2026" rel="noopener">February newsletter</a>, that was sent out to subscribers a couple of weeks ago, is now open for all to read.</p>
<p>You can also access this issue, as well as visit the full catalogue of previous issues, via the <a href="https://visualisingdata.com/newsletter/">Newsletter</a> page.</p>
<p>If you&#8217;re not already a subscriber, its time to change that! To receive this free monthly newsletter straight into your inbox you can sign up <a href="https://visualisingdata.ck.page/b9efcf751f">here</a> or visit the <a href="https://visualisingdata.com/newsletter/">Newsletter</a> page to get a bit more background information and instructions.</p>
<p>Thank you as always to everyone who subscribes, reads, shares, visits and responds to this newsletter. But above all thank you to all the people doing ace work that I&#8217;m able to curate and share through these issues.</p>								</div>
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		<p>The post <a href="https://visualisingdata.com/2026/03/the-february-2026-newsletter-is-now-open-to-all/">The February 2026 newsletter is now open to all</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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		<title>Explore Explain S6E6 &#8211; Nicola Rennie &#038; Ansgar Wolsing</title>
		<link>https://visualisingdata.com/2026/02/explore-explain-s6e6-nicola-rennie-ansgar-wolsing/</link>
		
		<dc:creator><![CDATA[Andy Kirk]]></dc:creator>
		<pubDate>Wed, 25 Feb 2026 20:33:15 +0000</pubDate>
				<category><![CDATA[Podcast]]></category>
		<category><![CDATA[Season6]]></category>
		<category><![CDATA[Latest]]></category>
		<category><![CDATA[Prepared]]></category>
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					<description><![CDATA[<p>Welcome to episode 6 of season 6 of Explore Explain, a long-form video and podcast series all about data visualisation design. I am delighted to welcome Nicola Rennie, Data Visualisation Specialist based in the UK, and Ansgar Wolsing, Principal Data &#038; Analytics Consultant based in Germany.</p>
<p>The post <a href="https://visualisingdata.com/2026/02/explore-explain-s6e6-nicola-rennie-ansgar-wolsing/">Explore Explain S6E6 &#8211; Nicola Rennie &amp; Ansgar Wolsing</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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									<p>Welcome to episode 6 of season 6 of Explore Explain, a long-form video and podcast series all about data visualisation design. I am delighted to welcome&nbsp;<a href="https://www.linkedin.com/in/nicola-rennie/" target="_blank" rel="noopener">Nicola Rennie</a>, Data Visualisation Specialist based in the UK, and&nbsp;<a href="https://www.linkedin.com/in/ansgar-wolsing/" target="_blank" rel="noopener">Ansgar Wolsing</a>, Principal Data &amp; Analytics Consultant based in Germany.</p>
<p>In this episode we explore five pieces each of their wonderful contributions to the annual &#8216;<a href="https://30daymapchallenge.com/" target="_blank" rel="noopener">30 Day Map Challenge</a>&#8216; campaign, as well as two of their favourites from other participants.&nbsp;Launched in 2019, by <a href="https://tjukanov.org/">Topi Tjukanov</a>, t<span style="font-style: inherit; font-weight: inherit;">he idea is to create and publish maps based around different themes across each day of November using the hashtag #30DayMapChallenge.&nbsp;</span></p>								</div>
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									Here are links to the works explored during this episode, in order:
<ul>
 	<li>Ansgar: <a href="https://bsky.app/profile/ansgarw.bsky.social/post/3m52p3s4wdk2i" target="_blank" rel="noopener">Day 3 Polygons</a>, “Challenge Classic: Create a map focused on area features (e.g., administrative regions, land use, boundaries). Use fills, patterns, and choropleth techniques.”</li>
 	<li>Nicola: <a href="https://raw.githubusercontent.com/nrennie/30DayMapChallenge/refs/heads/main/2025/maps/day_07.png" target="_blank" rel="noopener">Day 7 Accessibility</a>, “Map how people (or things) get around. Visualize travel time, barriers, inclusive design, public transport reach, or create a map that is itself highly accessible to all users.”</li>
 	<li>Nicola: <a href="https://raw.githubusercontent.com/nrennie/30DayMapChallenge/refs/heads/main/2025/maps/day_10.png" target="_blank" rel="noopener">Day 10 Air</a>, “Classical Elements 2/4: Focus on the atmosphere. Map weather, wind patterns, air traffic, pollution, or airborne transmission (e.g., pollen, sound).&#8221;</li>
 	<li>Ansgar: <a href="https://bsky.app/profile/ansgarw.bsky.social/post/3m5e2diatbc2v" target="_blank" rel="noopener">Day 11 Minimal Map</a>, “Challenge yourself to use the fewest possible elements (color, line weight, labels) while keeping the map clear, useful, and informative.”</li>
 	<li>Nicola: <a href="https://raw.githubusercontent.com/nrennie/30DayMapChallenge/refs/heads/main/2025/maps/day_22.png" target="_blank" rel="noopener">Day 22 Data Challenge: Natural Earth</a>, “Use the Natural Earth dataset as your primary source for a visually stunning small-scale world or continent map.”</li>
 	<li>Ansgar: <a href="https://bsky.app/profile/ansgarw.bsky.social/post/3m6epkx6n7c2l" target="_blank" rel="noopener">Day 24 Places and their names</a>, “Focus on toponymy (place names). Experiment with font choices, label placement, typography, multiple languages, or the history and meaning behind a name.”</li>
 	<li>Ansgar: <a href="https://bsky.app/profile/ansgarw.bsky.social/post/3m6i5vssgik2p" target="_blank" rel="noopener">Day 25 Hexagons</a>, “Challenge Classic: Use hexagonal binning (hexbins) or a hexagonal grid system to visualize your data. Celebrate this beautiful and efficient tessellation!”</li>
 	<li>Nicola: <a href="https://raw.githubusercontent.com/nrennie/30DayMapChallenge/refs/heads/main/2025/maps/day_25.png" target="_blank" rel="noopener">Day 25 Hexagons</a>, “Challenge Classic: Use hexagonal binning (hexbins) or a hexagonal grid system to visualize your data. Celebrate this beautiful and efficient tessellation!”</li>
 	<li>Ansgar: <a href="https://bsky.app/profile/ansgarw.bsky.social/post/3m6rxnxjafc2d" target="_blank" rel="noopener">Day 28 Black</a>, “(Black Friday) Interpret the theme of Black. The map can be purely monochromatic, represent absence/darkness (e.g., light pollution), or relate to themes of consumption.”</li>
 	<li>Nicola: <a href="https://raw.githubusercontent.com/nrennie/30DayMapChallenge/refs/heads/main/2025/maps/day_29.png" target="_blank" rel="noopener">Day 29 Raster</a>, “Challenge Classic: Map using raster data. Focus on satellite imagery, elevation models (DEMs), land cover, or pixel-based art.”</li>
 	<li>Nicola&#8217;s +1 by <a href="https://mapstodon.space/@stevefaeembra" target="_blank">@stevefaeembra</a>: <a href="https://mapstodon.space/@stevefaeembra/115565996658694737" target="_blank" rel="noopener">Day 16 Cells</a>, “Map something composed of small, discrete units or networks. This could be a geographic cell (raster, tessellation), a cellular network, or a biological/social process (e.g., disease spread).”</li>
 	<li>Ansgar&#8217;s +1 by <a href="https://bsky.app/profile/a-lex-map.bsky.social" target="_blank">Alexandre Médina</a>: <a href="https://bsky.app/profile/a-lex-map.bsky.social/post/3m6sz5xnsrk2m" target="_blank" rel="noopener">Day 30 Makeover</a>, “Take a map you made during the month or an older piece and redesign it. Focus on improving the aesthetics, clarity, or data communication.”</li>
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									<p>You can watch this episode using the embedded player below or over on the dedicated Explore Explain <a href="https://www.youtube.com/c/exploreexplain">Youtube channel</a>, where you&#8217;ll find all the other video-based episodes and curated playlists.</p>								</div>
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									To listen directly, visit this <a href="https://pod.co/exploreexplain/s6e6-nicola-rennie-ansgar-wolsing" target="_blank" rel="noopener">link</a> or use the embedded podcast player below. The audio podcast is published across all common platforms (such as Apple, <span style="color: var( --e-global-color-secondary ); background-color: var( --e-global-color-primary ); font-family: var( --e-global-typography-primary-font-family ), Sans-serif; font-size: var( --e-global-typography-primary-font-size ); font-weight: var( --e-global-typography-primary-font-weight ); word-spacing: var( --e-global-typography-primary-word-spacing );">Spotify, </span><span style="font-style: inherit; font-weight: inherit; color: var( --e-global-color-secondary ); background-color: var( --e-global-color-primary ); font-family: var( --e-global-typography-primary-font-family ), Sans-serif; word-spacing: var( --e-global-typography-primary-word-spacing );">Amazon Music etc.), so you will find this series listed in their respective directories by searching for &#8216;Explore Explain&#8217; or by manually entering &#8211; or copying/pasting &#8211; this url to your subscriptions &#8211; https://feed.pod.co/exploreexplain.</span>								</div>
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					    <div class="podcastdotco-wrapper" style="text-align: center"><iframe data-target="exploreexplain/s6e6-nicola-rennie-ansgar-wolsing" src="https://play.pod.co/exploreexplain/s6e6-nicola-rennie-ansgar-wolsing" frameborder="0" width="100%" scrolling="no" style="overflow:hidden;max-width:750px;height:160px;"class="podcastdotco-player podcastdotco-player--episode"></iframe><script src="https://play.pod.co/embed/frame-v1.js"></script></div>				</div>
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		<p>The post <a href="https://visualisingdata.com/2026/02/explore-explain-s6e6-nicola-rennie-ansgar-wolsing/">Explore Explain S6E6 &#8211; Nicola Rennie &amp; Ansgar Wolsing</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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		<title>Data in the wild #16: Can You Share Your Location</title>
		<link>https://visualisingdata.com/2026/02/data-in-the-wild-15-can-you-share-your-location/</link>
		
		<dc:creator><![CDATA[Obinna Iwuji]]></dc:creator>
		<pubDate>Tue, 24 Feb 2026 10:24:47 +0000</pubDate>
				<category><![CDATA[Data In The Wild]]></category>
		<category><![CDATA[Prepared]]></category>
		<guid isPermaLink="false">https://visualisingdata.com/?p=32920</guid>

					<description><![CDATA[<p>In this edition of Data in the Wild, I explore what it really means to “share your location.” From GPS and Wi-Fi to ship tracking and TfL demand modelling, this piece unpacks how geolocation works, where it shows up in everyday life, and what we can build when movement becomes data.</p>
<p>The post <a href="https://visualisingdata.com/2026/02/data-in-the-wild-15-can-you-share-your-location/">Data in the wild #16: Can You Share Your Location</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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									<p><strong>Location Is Key</strong></p><p><span style="font-weight: 400;">So, I recently took on an interesting client project. It was interesting for many reasons, but a big one was a key feature they wanted for their digital product. They wanted the ability to track the live locations of their research ships as animated points on a map of the ocean in the section they were mapping.</span></p><p><span style="font-weight: 400;">I’m not gonna lie to you or them, this was a first. I mean, it’s one thing to ask your friend to share their location with you; it’s another thing to manage that for several ships. It was definitely a challenge, but thanks to the age where we all interact with location data to some degree, it seemed and felt very doable. So I said, &#8220;We’ll do it and figure it out together.&#8221; As with any new skill, I went down a rabbit hole because, all of a sudden, I had to become a geolocation IoT expert (a goal I did not reach). It taught me a lot about what it actually means to turn on your location and the different ways that data can be used. So let’s dive into what it really means to send your location.</span></p>								</div>
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									<p><strong>Welcome to Data in the Wild</strong><br /><span style="font-weight: 400;">Welcome back to another edition of Data in the Wild, the series where we investigate how different data is formed, collected, and used to influence the world around us. I’m excited to jump into this topic because it’s a data and technology source that anyone can really use… with consent!!</span></p>								</div>
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									<p><strong>What is Geolocation?</strong></p><p><span style="font-weight: 400;">Let’s start with the basics. What is Geolocation? According to Investopedia, “Geolocation is the ability to track a device’s whereabouts using GPS, cell phone towers, WiFi access points, or a combination of these. Since devices are used by individuals, geolocation uses positioning systems to track an individual’s location down to latitude and longitude coordinates, or more practically, a physical address.”</span></p><p><span style="font-weight: 400;">In other words, it is a method that uses different forms of technology to track your location, so no matter where you go, as long as you have a device that can access the internet or in some way connects to a network They. Can. Find. You!</span></p>								</div>
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									<p><strong>Let&#8217;s Go Over The Different Ways To Do This:</strong></p><p><b>GPS: </b><span style="font-weight: 400;">Also called the Global Positioning System. The one we all know and love, and if you are anything like me, reminds you of the first Jurassic Park. This is the most accurate way of locating an object and does not require the internet! The device uses a receiver to directly receive signals from a network of satellites orbiting the Earth, and yes, most smartphones have a built-in GPS.</span></p><p><b>Cell Phone Towers:</b><span style="font-weight: 400;"> This is also called network-based geolocation. Your phone provider&#8217;s infrastructure determines your location through a process called network triangulation. Which sounds super complicated but boils down to determining a device&#8217;s location by drawing triangles between it and known network points, like slicing a pizza, with your device at the centre and the crust edges the different cell towers. Since this is based on network providers, the location accuracy depends on the network coverage in that area. So if you decide to get lost in the mountains, you’ll find out if OS really is essential for living (Purely for the UK audience).</span></p><p><b>Wi-Fi access points: </b><span style="font-weight: 400;">Also called Wi-Fi positioning, it is the lightest-weight way of finding locations and, in my view, the most interesting. Essentially, every Wi-Fi router, at all times, broadcasts a unique identifier as if it were a landmark on a giant Wi-Fi map (which companies have been building for years). So, when Wi-Fi is on, your device can see many nearby Wi-Fi networks, each with its own unique ID. Your phone identifies all of these (even if it doesn’t access them), so as it passes through and identifies them, your device&#8217;s location can be determined, similar to how you find where you are on a map based on the landmarks on a street. The only thing is that, unlike all the other methods here, wifi is most accurate within 10 meters (cause it&#8217;s a radio wave). Which means within buildings it is optimal, but at a distance…not as much</span></p><p><b>IP address:</b><span style="font-weight: 400;"> This method can be used by any device that can connect to the internet…which is a lot in today&#8217;s world. Every device, when it goes online, is given an IP address; it’s how the internet knows where to send information back to. But the IP addresses are not random; they are assigned in regional chunks that can be at the country level, city level, and sometimes as deep as the neighbourhood. Behind the scenes, there are large IP location databases that map IP addresses to your device&#8217;s location. The catch is that it cannot provide specific longitude &amp; latitude coordinates, but it can provide a general area.</span></p><p><b>Bluetooth</b><span style="font-weight: 400;">: works similarly to Wifi access points. Most devices have Bluetooth capabilities, so when Bluetooth is turned on, your device passes other Bluetooth beacons that broadcast their positions, allowing your device to be located based on proximity.</span></p>								</div>
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									<p><b>Okay, Cool! That’s How It Works, But How Do We Use This?</b></p>								</div>
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									<p><b>Audience Research &amp; store locations</b></p><p><span style="font-weight: 400;">Probably the one most of us know! It includes things like footfall data, which is like a heat map of people traffic. It helps you know where people tend to frequent, so you can, for example, decide where to put your next food truck or store. You can also use location-based ads, which leverage social media tools to better target the audiences you need to reach with your online ad. It even includes Uber Eats, which uses your location to show you the best dining options nearby. Marketing and advertising have been using geolocation to make ads more efficient, so that they only speak to people who can connect with them not only on a personal level, but also on a practical level (meaning they can actually get to the shop to buy the item in a reasonable time).</span></p>								</div>
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									<p><b>TFL and Travel</b></p><p><span style="font-weight: 400;">Before you get spooked, TFL isn&#8217;t secretly tracking your phone everywhere you go in London (at least not to my knowledge). Rather, every time you tap your Oyster card or contactless at the station, it creates a time-stamped, location-based record that tracks you to a specific point in the transport network. Do that for the millions of taps and journeys made in a day alone, and TFL are able to create a map, a live picture of travel demand, by day and time to know which routes are busiest and how peak travel patterns shift (those peak charges were by no means a random guess). You can imagine that as routes expand when people move out of London, this will be imperative when deciding how to further expand train lines. Buses actually have GPS, allowing us to have real-time arrival boards so we know how long we’ll have to wait at a stop.</span></p>								</div>
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									<p><strong>SUBSCRIPTIONS</strong></p><p><span style="font-weight: 400;">Yes!! You may or may not have noticed that if you use Netflix, Amazon Prime, or even YouTube in different countries, you get very different content. That’s because the sites use geolocation data to serve relevant content to that demographic. So if you live in India, you may get a lot more Bollywood on Netflix than if you live in the UK. Or if you live in the US, you may not even have access to certain shows or movies because their licenses do not allow them in other regions. Which is why you see certain ads on YouTube showing off VPNs, because they allow you to get around the geolocation issue by changing the region of your IP address.</span></p>								</div>
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															<img loading="lazy" decoding="async" width="1024" height="683" src="https://visualisingdata.com/wp-content/uploads/2026/02/pexels-anna-nekrashevich-6801648-1024x683.jpg" class="attachment-large size-large wp-image-32925" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/02/pexels-anna-nekrashevich-6801648-1024x683.jpg 1024w, https://visualisingdata.com/wp-content/uploads/2026/02/pexels-anna-nekrashevich-6801648-300x200.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/02/pexels-anna-nekrashevich-6801648-768x512.jpg 768w, https://visualisingdata.com/wp-content/uploads/2026/02/pexels-anna-nekrashevich-6801648-1536x1024.jpg 1536w, https://visualisingdata.com/wp-content/uploads/2026/02/pexels-anna-nekrashevich-6801648-2048x1365.jpg 2048w" sizes="(max-width: 1024px) 100vw, 1024px" />															</div>
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									<p><strong>Where Do We Find Geolocation Data?</strong></p><p><span style="font-weight: 400;">After hopefully sparking some curiosity about geolocation, it would be really mean of me to leave without pointing out a couple of places you can get geolocation data for </span><b>free!!</b><span style="font-weight: 400;"> A good number of companies offer access to geolocation data for a fee. I am not endorsing any of them, so I’ll let you peruse the web to find that, but there are a few that you can get for free:</span></p><ul><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Open Street Maps (OSM)</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">The London Data Store (for the public transport data I mentioned before)</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Google Geolocation API (They actually have a few, so really check them out!)</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Natural Earth</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">NASA &amp; ESA Open Datelitte Data</span></li><li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Government Open Data Portals (Many governments allow access to geolocation data they collect)</span></li></ul><p><span style="font-weight: 400;">It always surprises me how much data and information are collected on a daily basis without any of us knowing. But what’s even crazier is how accessible a lot of it is… for free!! That’s what makes working with data so exciting. The question is rarely, “Does this data exist?” It’s usually, “If it does… what could we build with it?”</span></p><p><span style="font-weight: 400;">See you next time for another Data in the Wild</span></p>								</div>
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				<a class="elementor-post__thumbnail__link" href="https://visualisingdata.com/2026/04/data-in-the-wild-17-smart-motorways/" tabindex="-1" ><div class="elementor-post__thumbnail"><img loading="lazy" decoding="async" width="2560" height="1536" src="https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-scaled.png" class="attachment-full size-full wp-image-33253" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-scaled.png 2560w, https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-300x180.png 300w, https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-1024x614.png 1024w, https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-768x461.png 768w, https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-1536x922.png 1536w, https://visualisingdata.com/wp-content/uploads/2026/04/data-in-the-wild-banner-17-2048x1229.png 2048w" sizes="(max-width: 2560px) 100vw, 2560px" /></div></a>
				<div class="elementor-post__badge">Data In The Wild</div>
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			<a href="https://visualisingdata.com/2026/04/data-in-the-wild-17-smart-motorways/" >
				Data in the wild #17: Smart motorways			</a>
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				<div class="elementor-post__excerpt">
			<p>Smart motorways are quietly shaping how we drive. That sudden drop from 70 to 50? It’s not random. Sensors and systems are predicting traffic before it happens, slowing everyone down to prevent jams. It’s data controlling the road in real time… the question is, do we actually trust it?</p>
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			Read More &rarr;		</a>

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			April 9, 2026		</span>
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				<article class="elementor-post elementor-grid-item post-32920 post type-post status-publish format-standard has-post-thumbnail hentry category-data-in-the-wild tag-prepared" role="listitem">
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				<a class="elementor-post__thumbnail__link" href="https://visualisingdata.com/2026/02/data-in-the-wild-15-can-you-share-your-location/" tabindex="-1" ><div class="elementor-post__thumbnail"><img loading="lazy" decoding="async" width="1000" height="601" src="https://visualisingdata.com/wp-content/uploads/2026/02/data-in-the-wild-banner-16.jpg" class="attachment-full size-full wp-image-32921" alt="Data in the wild banner, can you share your location" srcset="https://visualisingdata.com/wp-content/uploads/2026/02/data-in-the-wild-banner-16.jpg 1000w, https://visualisingdata.com/wp-content/uploads/2026/02/data-in-the-wild-banner-16-300x180.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/02/data-in-the-wild-banner-16-768x462.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /></div></a>
				<div class="elementor-post__badge">Data In The Wild</div>
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			<a href="https://visualisingdata.com/2026/02/data-in-the-wild-15-can-you-share-your-location/" >
				Data in the wild #16: Can You Share Your Location			</a>
		</h3>
				<div class="elementor-post__excerpt">
			<p>In this edition of Data in the Wild, I explore what it really means to “share your location.” From GPS and Wi-Fi to ship tracking and TfL demand modelling, this piece unpacks how geolocation works, where it shows up in everyday life, and what we can build when movement becomes data.</p>
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		<a class="elementor-post__read-more" href="https://visualisingdata.com/2026/02/data-in-the-wild-15-can-you-share-your-location/" aria-label="Read more about Data in the wild #16: Can You Share Your Location" tabindex="-1" >
			Read More &rarr;		</a>

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			February 24, 2026		</span>
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				<article class="elementor-post elementor-grid-item post-32793 post type-post status-publish format-standard has-post-thumbnail hentry category-data-in-the-wild tag-prepared" role="listitem">
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				<a class="elementor-post__thumbnail__link" href="https://visualisingdata.com/2026/01/data-in-the-wild-15-the-data-behind-fireworks/" tabindex="-1" ><div class="elementor-post__thumbnail"><img loading="lazy" decoding="async" width="1000" height="601" src="https://visualisingdata.com/wp-content/uploads/2026/01/data-in-the-wild-banner-15.jpg" class="attachment-full size-full wp-image-32794" alt="" srcset="https://visualisingdata.com/wp-content/uploads/2026/01/data-in-the-wild-banner-15.jpg 1000w, https://visualisingdata.com/wp-content/uploads/2026/01/data-in-the-wild-banner-15-300x180.jpg 300w, https://visualisingdata.com/wp-content/uploads/2026/01/data-in-the-wild-banner-15-768x462.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /></div></a>
				<div class="elementor-post__badge">Data In The Wild</div>
				<div class="elementor-post__text">
				<h3 class="elementor-post__title">
			<a href="https://visualisingdata.com/2026/01/data-in-the-wild-15-the-data-behind-fireworks/" >
				Data in the wild #15: The Data Behind Fireworks			</a>
		</h3>
				<div class="elementor-post__excerpt">
			<p>Fireworks don’t just light up the sky they’re shaped by data. From wind modelling to sound limits, invisible thresholds decide what counts as “safe fun.” This Data in the Wild piece explores how decibels, maths, and regulation quietly shape one of our most beloved celebrations.</p>
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		<a class="elementor-post__read-more" href="https://visualisingdata.com/2026/01/data-in-the-wild-15-the-data-behind-fireworks/" aria-label="Read more about Data in the wild #15: The Data Behind Fireworks" tabindex="-1" >
			Read More &rarr;		</a>

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			January 8, 2026		</span>
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		<p>The post <a href="https://visualisingdata.com/2026/02/data-in-the-wild-15-can-you-share-your-location/">Data in the wild #16: Can You Share Your Location</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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		<title>The January 2026 newsletter is now open to all</title>
		<link>https://visualisingdata.com/2026/02/the-january-2026-newsletter-is-now-open-to-all/</link>
		
		<dc:creator><![CDATA[Andy Kirk]]></dc:creator>
		<pubDate>Fri, 13 Feb 2026 10:57:15 +0000</pubDate>
				<category><![CDATA[Newsletter]]></category>
		<category><![CDATA[2026]]></category>
		<category><![CDATA[Prepared]]></category>
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					<description><![CDATA[<p>My January newsletter, sent out to subscribers at the end of last month, is now open for all to read. You can access this issue, as well as visit the growing catalogue of previous issues, on the Newsletter page.</p>
<p>The post <a href="https://visualisingdata.com/2026/02/the-january-2026-newsletter-is-now-open-to-all/">The January 2026 newsletter is now open to all</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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									<p>My&nbsp;<a href="https://visualisingdata.kit.com/posts/the-visualising-data-newsletter-issue-21-january-2026" rel="noopener">January newsletter</a>, that was sent out to subscribers a couple of weeks ago, is now open for all to read.</p>
<p>You can also access this issue, as well as visit the full catalogue of previous issues, via the <a href="https://visualisingdata.com/newsletter/">Newsletter</a> page.</p>
<p>If you&#8217;re not already a subscriber, its time to change that! To receive this free monthly newsletter straight into your inbox you can sign up <a href="https://visualisingdata.ck.page/b9efcf751f">here</a> or visit the <a href="https://visualisingdata.com/newsletter/">Newsletter</a> page to get a bit more background information and instructions.</p>
<p>Thank you as always to everyone who subscribes, reads, shares, visits and responds to this newsletter. But above all thank you to all the people doing ace work that I&#8217;m able to curate and share through these issues.</p>								</div>
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		<p>The post <a href="https://visualisingdata.com/2026/02/the-january-2026-newsletter-is-now-open-to-all/">The January 2026 newsletter is now open to all</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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		<title>Explore Explain S6 E5: Chaz Hutton</title>
		<link>https://visualisingdata.com/2026/02/explore-explain-s6-e5-chaz-hutton/</link>
		
		<dc:creator><![CDATA[Andy Kirk]]></dc:creator>
		<pubDate>Tue, 03 Feb 2026 17:05:51 +0000</pubDate>
				<category><![CDATA[Podcast]]></category>
		<category><![CDATA[Season6]]></category>
		<category><![CDATA[Prepared]]></category>
		<guid isPermaLink="false">https://visualisingdata.com/?p=32862</guid>

					<description><![CDATA[<p>Welcome to episode 5 of season 6 of Explore Explain, a long-form video and podcast series all about data visualisation design. I am delighted to welcome Chaz Hutton, currently based in the UK, who is a man with many creative hats and talents, but it is his role as a cartoonist that we're focusing on in this show.</p>
<p>The post <a href="https://visualisingdata.com/2026/02/explore-explain-s6-e5-chaz-hutton/">Explore Explain S6 E5: Chaz Hutton</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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									<p>Welcome to episode 5 of season 6 of Explore Explain, a long-form video and podcast series all about data visualisation design. I am delighted to welcome <a href="https://chazhutton.com/" target="_blank" rel="noopener">Chaz Hutton</a>, currently based in the UK, who is a man with many creative hats and talents, but it is his role as a cartoonist that we&#8217;re focusing on in this show.</p><p>In this episode we explore five distinct pieces of his brilliant work that help to illustrate (pun intended) themes of his inspiring craft that we, as data visualisation practitioners, can maybe learn to bring into ours.</p>								</div>
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									<p>Here are links to some of the key references or resources mentioned during this episode:</p><ul><li><a href="https://chazhutton.substack.com/about" target="_blank" rel="noopener">Outlined</a>, Chaz&#8217;s weekly newsletter</li><li>First piece discussed &#8211; &#8220;<a href="https://www.instagram.com/p/DAItXiNM-Wh/?igsh=YmhkcnFqejZ0ajlu" target="_blank" rel="noopener">All The People</a>&#8220;</li><li>Second piece discussed &#8211; &#8220;<a href="https://www.instagram.com/p/DQ8rXu6E2tb/?igsh=MWplcnZwZDRic2phOQ==" target="_blank" rel="noopener">Jigsaw Decisions</a>&#8220;</li><li>Third piece discussed &#8211; <a href="https://www.instagram.com/p/DBGJMG5tPd8/?igsh=MW1nbDhocHVxbzZiYw%3D%3D" target="_blank" rel="noopener">Sisyphus series of comics</a> and related <a href="https://chazhutton.substack.com/p/the-sisyphean-task-of-drawing-sisyphus" target="_blank" rel="noopener">article</a></li><li>Fourth piece discussed &#8211; &#8220;<a href="https://www.instagram.com/p/DQV1eLvlaB1/?igsh=Nzl0amE3MTl1MXpv" target="_blank" rel="noopener">Desire Paths</a>&#8221; and related <a href="https://chazhutton.substack.com/p/drawing-desire-paths" target="_blank" rel="noopener">article</a></li><li>Fifth piece discussed &#8211; &#8220;<a href="https://www.instagram.com/p/DAItXiNM-Wh/?igsh=YmhkcnFqejZ0ajlu" target="_blank" rel="noopener">All The People</a>&#8220;</li><li>&#8220;Plus one other&#8221; piece discussed &#8211; &#8220;<a href="https://www.instagram.com/p/DAItXiNM-Wh/?igsh=YmhkcnFqejZ0ajlu" target="_blank" rel="noopener">All The People</a>&#8220;</li></ul>								</div>
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									<p>You can watch this episode using the embedded player below or over on the dedicated Explore Explain <a href="https://www.youtube.com/c/exploreexplain">Youtube channel</a>, where you&#8217;ll find all the other video-based episodes and curated playlists.</p>								</div>
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									To listen directly, visit this <a href="https://pod.co/exploreexplain/s6e5-chaz-hutton" target="_blank" rel="noopener">link</a> or use the embedded podcast player below. The audio podcast is published across all common platforms (such as Apple, <span style="color: var( --e-global-color-secondary ); background-color: var( --e-global-color-primary ); font-family: var( --e-global-typography-primary-font-family ), Sans-serif; font-size: var( --e-global-typography-primary-font-size ); font-weight: var( --e-global-typography-primary-font-weight ); word-spacing: var( --e-global-typography-primary-word-spacing );">Spotify, </span><span style="font-style: inherit; font-weight: inherit; color: var( --e-global-color-secondary ); background-color: var( --e-global-color-primary ); font-family: var( --e-global-typography-primary-font-family ), Sans-serif; word-spacing: var( --e-global-typography-primary-word-spacing );">Amazon Music etc.), so you will find this series listed in their respective directories by searching for &#8216;Explore Explain&#8217; or by manually entering &#8211; or copying/pasting &#8211; this url to your subscriptions &#8211; https://feed.pod.co/exploreexplain.</span>								</div>
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					    <div class="podcastdotco-wrapper" style="text-align: center"><iframe data-target="exploreexplain/s6e5-chaz-hutton" src="https://play.pod.co/exploreexplain/s6e5-chaz-hutton" frameborder="0" width="100%" scrolling="no" style="overflow:hidden;max-width:750px;height:160px;"class="podcastdotco-player podcastdotco-player--episode"></iframe><script src="https://play.pod.co/embed/frame-v1.js"></script></div>				</div>
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		<p>The post <a href="https://visualisingdata.com/2026/02/explore-explain-s6-e5-chaz-hutton/">Explore Explain S6 E5: Chaz Hutton</a> appeared first on <a href="https://visualisingdata.com">Data Viz Excellence, Everywhere</a>.</p>
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