It's official 🎉
Visualising Climate 2026 is here! visualisingclimate.com
First international conference of its kind, it'll bring together artists, scientists, journalists all moved by the same desire to better communicate our changing climate 🌍
🗓️ Join us in Bologna, Nov 4-6
#dataviz #climatecrisis
28.01.2026 13:17 — 👍 54 🔁 26 💬 1 📌 1
I'm so be happy to be part of the organizing committee of this conference. Join us in Bologna! #dataViz #infographics #dataVisualization #dataJournalism You can submit a proposal for a talk, paper, workshop, etc: visualisingclimate.com/submissions/
28.01.2026 11:09 — 👍 38 🔁 12 💬 2 📌 1
🎉 We’ve received 709 responses to the 2025 SOTI Survey so far! Take the survey if you create #dataviz in any capacity (hobby, work, school, art), and help us spread the word: www.surveyhero.com/c/soti2025-b...
26.01.2026 14:53 — 👍 3 🔁 4 💬 0 📌 0
And here I am, thinking I am smart just because I know how to use XLOOKUP in Excel.
21.01.2026 16:43 — 👍 1 🔁 0 💬 0 📌 0
Great follow-up!
21.01.2026 09:58 — 👍 1 🔁 0 💬 1 📌 0
I won't be the person to tell you this, and not that my opinion matters that much but: your newsletter is awesome and brings me joy. Love the fact you tackle very different topics with clear charts and visuals every time.
17.01.2026 07:56 — 👍 1 🔁 0 💬 1 📌 0
Birth Lottery
If you were reborn today, where would you land? And how would that change your life?
To highlight challenges in other countries, Giving What We Can imagined a birth lottery to see how you might start life from birth. Spin the globe and see how the country you land on compares against your own in terms of life expectancy, income, and education.
www.givingwhatwecan.org/birth-lottery
06.01.2026 15:04 — 👍 1 🔁 1 💬 0 📌 0
YouTube video by Christopher L Webster
Can You Say Why America is the Greatest Country in the World?
reminds of this video, with more charts
www.youtube.com/watch?v=fJh9...
15.01.2026 13:07 — 👍 2 🔁 1 💬 1 📌 1
New Year, New Colour Tool
for you data visualizers and maybe the odd designer
obumbratta.com/colour
07.01.2026 16:20 — 👍 256 🔁 62 💬 6 📌 12
Pew Research Center is seeking a Data Archivist to support our commitment to open science and data transparency. This newly created role will play a key part in enhancing the accessibility, usability, and reproducibility of our research data while continuing to protect the privacy and identity of our survey participants.
As Data Archivist, you will lead efforts to create and implement best practices for preparing, documenting, and disseminating datasets. These best practices should maximize FAIR (Findable, Accessible, Interoperable, and Reusable) principles while minimizing disclosure risk. You will work across teams to ensure our data is well-organized and thoroughly documented.
You will serve as an internal advocate for data users, helping to ensure that our datasets are not only accurate and comprehensive but also easy to discover and reuse by researchers, journalists, and the public.
This is a full-time, Pew Research Center position. The position is funded by an external grant and limited to a two-year term.
Primary Responsibilities
Develop optimization procedures to improve discoverability of our datasets on internal and external platforms
Develop and maintain standards to improve accessibility of our microdata and tab plans by changing/adding formats and/or adding documentation
Identify metadata documentation best practices and a process to implement those best practices at the Center
Work with Legal to evaluate most appropriate license to publicly share the Center's survey data, including Creative Common options
Identify and correct processing inefficiencies in our data publication process
Sit on the internal Disclosure Risk Taskforce
Document analytical decisions and code to support transparency and replicability, including the development of a RACI chart for publishing code to recreate derived variables that are used in reports but are not included in the microdata
Manage/create merged time series datasets for select Center datasets
Identify a process for internally archiving data and projects that are no longer in active use
Identify and implement a process to assign Digital Object Identifiers (DOI) to microdata
Prepare and upload public-facing datasets and restricted-use datasets for external sharing.
Train staff on FAIR principles and best practices in data archiving.
Education/Training/Experience
Bachelor’s degree required, preferably in library sciences, organizational management, or a related field.
5-7 years of experience with data archiving, database management, or survey research. This may include graduate training at the MA/PhD level or equivalent experience in an applied setting.
At least 3-5 years of experience applying FAIR and open science principles.
Background in social science research or data curation.
Experience in data management, archiving, or research support.
Familiarity with FAIR principles, Creative Common licensing, data privacy principles, and exposure risk.
Proficiency in metadata standards and documentation tools.
Experience managing research projects, including working collaboratively with a multidisciplinary team.
Experience with statistical software (e.g., R, Python, Stata) and reproducible research workflows.
Knowledge, Skill and Workplace Requirements
Strong organizational and communication skills.
Detail oriented with exacting standards to maintain accuracy and impartiality in all work products.
Ability to work independently to carry out special projects from start to finish.
Ability to balance numerous tasks simultaneously.
Ability to work collaboratively and collegially with other team members, as well as with staff from other Pew Research Center teams.
Ability to balance competing priorities and identify optimal solutions
FLSA Status: Exempt
Compensation: Starting salary is commensurate with experience within the range of $100,000 - $120,000.
Hybrid Work Schedule: Pew Research Center staff are required to be present in the Center’s Washington, D.C., office three core days weekly (Tuesday, Wednesday, Thursday). Staff may work virtually from remote locations on other days in a typical work week.
Please share - @pewresearch.org wants to hire a data archivist who will be an advocate for data users, helping to ensure that our datasets are easy to discover and reuse by researchers, journalists, and the public.
pewtrusts.wd5.myworkdayjobs.com/CenterExtern...
06.01.2026 18:27 — 👍 312 🔁 309 💬 4 📌 15
💯
05.01.2026 09:37 — 👍 0 🔁 0 💬 0 📌 0
I find myself in equal measures delighted by this chart and mortified that it did not occur to me first. The article that accompanies it is equally charming.
02.01.2026 18:03 — 👍 2 🔁 0 💬 0 📌 0
fast and furious
I will keep with silly chart jokes!
23.12.2025 12:22 — 👍 67 🔁 18 💬 2 📌 1
Vroom, vroom, would it be 'Baby Driver'?
Long-time lurker, playing today! I have no idea if the image needs to have a link to the topic, so I just uploaded the last pic someone sent me.
22.12.2025 09:44 — 👍 1 🔁 0 💬 1 📌 0
just seeing this now, let me catch up :)
20.12.2025 11:13 — 👍 1 🔁 0 💬 1 📌 0
Dicing an Onion, the Mathematically Optimal Way
There is more than one way to dice an onion…
In today's edition of "Data articles I didn’t know I needed to read" 🧅✨
pudding.cool/2025/08/onio...
#DigThisViz #DataStorytelling #UnexpectedlyBrilliant
13.08.2025 14:18 — 👍 4 🔁 0 💬 0 📌 0
Desperately need a word for when you hate the subject of a data, but like the visual. My latest combines a comparison chart & cartogram to show which states allow prisons to charge "pay-to-stay" fees. #dataviz
15.07.2025 17:47 — 👍 16 🔁 3 💬 0 📌 1
well deserved!
18.06.2025 13:12 — 👍 1 🔁 0 💬 0 📌 0
Ah, looking at your previous code and wondering what fever brought you to write this or that 🤭
20.05.2025 19:17 — 👍 1 🔁 0 💬 0 📌 0
that's good to hear! One of my struggles learning Svelte (and perhaps, code in general to be honest) is "what did I do wrong or is this because of the position of the planets?" 😆
20.05.2025 07:35 — 👍 0 🔁 0 💬 0 📌 0
👀 Dataviz folks, anyone using Svelte 5 yet? 😗📊
Curious how it feels for visualisation work:
🟢 Easier?
🟡 Harder?
🔵 Ready for production?
Also on the hunt for code starting points: drop links if you’ve got them! 💡
#dataviz #svelte
19.05.2025 15:10 — 👍 4 🔁 1 💬 4 📌 0
Paris?
30.04.2025 04:46 — 👍 1 🔁 0 💬 0 📌 0
Bruxelles?
29.04.2025 05:32 — 👍 0 🔁 0 💬 0 📌 0
+1. went to Chicago last year, will attend Miami virtually this year.
19.04.2025 08:48 — 👍 0 🔁 0 💬 0 📌 0
Wake up babe, @alv9n.com dropped his latest @puddingviz.bsky.social's project. #dataviz 📊
04.03.2025 17:53 — 👍 5 🔁 0 💬 0 📌 0
Last year, there were talks of viewing parties for people who could not attend in person, I believe? It could be cool to organise one in Europe?
Disclaimer: not throwing my hat in the ring to organise, just wondering if that's something @datavizsociety.bsky.social or someone is working on?
03.03.2025 16:16 — 👍 1 🔁 0 💬 0 📌 0
Wow, I had to check this was a real article and not a spoof.
Using biased data visualization to push a narrative is like using phrenology to justify beliefs—it looks 'scientific' on the surface but falls apart under scrutiny.
02.03.2025 06:45 — 👍 7 🔁 1 💬 0 📌 0
Signal boosting this 🧵. Whether you are a #dataviz professional or amateur, journalist or working in a corporate setting, it's all the same: don't ignore your responsibilities and ethics. Especially now.
02.03.2025 06:34 — 👍 11 🔁 5 💬 0 📌 0
Climate Data Visualiser @copernicusecmwf.bsky.social 🛰️ 📈🌍🌡️🎨 • @datavizsociety.bsky.social DVS mentor 2025 • Previously physicist @cambridgephysics.bsky.social 🔬 & data journalist @thetimes.com 🗞️ • 🇮🇹 + 🇬🇧 • Views mine
CEO and co-founder InfoDesignLab
turns spreadsheets into pixelated unicorns. 🦄✨
The first global conference on how data visualisation can support understanding and decision-making on climate change.
𝗕𝗼𝗹𝗼𝗴𝗻𝗮, 𝗜𝘁𝗮𝗹𝘆
4–6 November 2026
#datavis #climate
ℹ️ visualisingclimate.com
https://www.not-ship.com/
Explaining the world through data and design • Newsletter: Not-Ship • Formerly Washington Post, Quartz, the Guardian 🇨🇦 🏴
dataviz and information graphics at ELTE MMI
portfolio: https://attilabatorfy.com/
head of visual journalism project: https://atlo.team/
book order: https://eltebook.hu/batorfy-attila-adatvizualizacio
blog: https://attilabatorfy.substack.com/
Writer. Reader. Sometimes funny. Author of WINTERSET HOLLOW (1st edition out of print, 2nd edition coming October 2026!) HOLLYWOODLAND coming 2027!
https://jonathanedwarddurham.substack.com
http://Patreon.com/jonathanedwarddurham
Data, graphics and visual storytelling at Bloomberg News | Stories: https://www.bloomberg.com/authors/ASy8ufuymtE/hayley-warren
editing visual and data stories @ the New York Times in London
Data viz at Polygraph/The Pudding and Ag&Water Desk.
Formerly Axios, Philadelphia Inquirer, Delaware Online
Health + science graphics/data/visuals @nytimes.com. Previously WaPo, Guardian, Reuters, The Boston Globe.
Data and digital graphics developer @thetimes & @thesundaytimes. Previously @NerdWallet @Reuters.
Data journalist, Thomson Reuters Foundation https://www.context.news/
Covering tech, inclusive economies, climate change | Mexicana 🇲🇽
Editor at @Reuters interested in AI and data-driven journalism. Learning how artificial intelligence is transforming news and society. All views my own.
Maps, charts, illustrations, animations, 3d models, data analysis and fun little easter eggs from your favorite graphics team. https://www.reuters.com/graphics/
Reuters deputy editor, data journalism. Europe, Middle East, Africa. #okstate alum....... send tips: ryan.mcneill@tr.com
Data and Graphics Journalist at Reuters
Information Experience Designer | Crafts visual stories from data at Reuters, Makes 🎨 art, takes 📸 pictures and collects 🐶 memes.
https://bit.ly/m/pkddapacific
Investigative data reporter for Reuters, based in Toronto. Interested in computer vision, NLP, and other kinds of machine learning for reporting. Also, I teach people to read. 🏳️🌈
Data viz at Reuters Graphics
http://samhart.co