our workshop "uncertainty visualization in data journalism" at univ. of applied sciences hamburg brought together data journalists to reflect on how uncertainty is handled in journalistic work and how it can be communicated more effectively.
🚀 thanks to all who contributed their time and insights!

obwohl da was nicht ganz stimmt (rundung)?

🎉 new paper 🎉 at “computer graphics & visual computing (cgvc)” conference, delving into how data analysts in epidemiology handle data uncertainty and how we, as visualization designers, can better support them. preprint and supplemental material here: osf.io/preprints/os... (1/x)

excellent! i particularly find the "how marginal is the winning seat" interesting. it also shows a major advantage of hex cells: how elegantly they can be combined with circle symbols 👏

thrilled to announce my success with the #DATIpilot pitch for the federal ministry of education and research (BMBF)! got funding for my applied research project developing a toolkit for intuitive #uncertainty #visualization for data journalists #ddj

oh of course - but the page not restricted with this link I think www.nytimes.com/interactive/...

freue mich sehr, am 18.1. in berlin bei der niam-tagung zum thema visualisierung von unsicherheiten in epidemiologischen daten sprechen zu dürfen. freue mich außerdem auf superinteressante beiträge aus der datenjournalismus-szene! check news-infographics-analytics-maps.media #ddj

had the honor of critiquing several datavis stories at DER SPIEGEL in hamburg. really enjoyed the discussions with the practitioners and gained new insights (plus a free lunch!). thank you for the kind invitation, @higsch.bsky.social! @spiegelmagazin.bsky.social