Here’s a full draft of the upcoming second edition of my “Data Visualization: A Practical Introduction”: socviz.co
05.03.2026 22:54 — 👍 535 🔁 172 💬 12 📌 15
Here’s a full draft of the upcoming second edition of my “Data Visualization: A Practical Introduction”: socviz.co
05.03.2026 22:54 — 👍 535 🔁 172 💬 12 📌 15
Screenshot of the "Does that use a lot of energy?" online app
Hannah Ritchie has built a fun little tool where you can compare energy usage of various products and activities.
This is super helpful imho, because it's so hard to develop intuitions even just about the scales involved here.
hannahritchie.substack.com/p/does-that-...
We are happy to have been part of the inspiring #GOR2026, where the KODAQS team presented research on data donations, satisficing, recruitment mechanisms, and awareness of data quality.
We are especially proud of Leah von der Heyde, who received the best dissertation award👏
The 4th annual NIMLAS plenary meeting is today! Looking forward to updates from our pilot project awardees and a keynote workshop from @jonburton.bsky.social on state-of-the art methods for obtaining consent to additional collection in longitudinal studies of aging. Details: nimlas.isr.umich.edu
26.02.2026 12:28 — 👍 6 🔁 4 💬 0 📌 1
I Kogan, Kollegin in der Fakultät für Sozialwissenschaften an der Uni Mannheim, erhält den Landesforschungspreises Baden-Württemberg 2026 für ihre Grundlagenforschung zu Bildungs- und Berufschancen von Migrant*innen.
Tolle Nachrichten und well-deserved!
www.uni-mannheim.de/news/irena-k...
#BlueShell #EarlyCareer #SpeedNetworking
#GOR26 – don’t miss the Early Career Speed Networking Event:
www.conftool.org/gor...
GESIS supports young scientists! Meet you in Blue Shell in Cologne!
❗📣 Great news:
Mannheim sociologist and former MZES director Irena Kogan has been awarded the 2026 research prize of the state of Baden-Württemberg for outstanding achievements in basic research.
Congratulations on this high Honour! 👏🥳🏆
Press release (in German):
www.uni-mannheim.de/newsroom/pre...
🎉 The KODAQS Data Quality Academy Individual Training is open for registration!
➡️Free and flexible online learning resource
➡️ Content selection based on interests and knowledge level
➡️ Learning paths for survey, digital behavioral, and linked data
👉 Regiser: www.gesis.org/en/gesis-tra...
📚 Special issue in Kölner Zeitschrift für Soziologie on Explanation and Causality in Sociology. Essential reading on where causal inference in sociology is heading
link.springer.com/collections/...
Ranking a strongly agree to strongly disagree scale is a new one for me…
24.02.2026 19:29 — 👍 2 🔁 1 💬 0 📌 0We regret to inform you that your paper cannot be considered for publication, but we encourage you to submit it to our GOLD Open Access sister journal
23.02.2026 10:41 — 👍 50 🔁 15 💬 1 📌 0Really enjoyed writing this piece with @heinzleitgoeb.bsky.social. Helped me structure my own thinking about when and how to use digital behavioral data for causal inference. Hope others find it useful as well!
21.02.2026 18:05 — 👍 10 🔁 4 💬 2 📌 0
Love surveys? We're hiring!
We're looking for new members of the polling team at @bluelabs.bsky.social. Two roles are focused on execution of day-to-day polling operations (Polling Manager, Lead Polling Manager) while the Survey Scientist is an R&D role!
Share & apply!
bluelabs.com/careers/
Joint paper with @floriankeusch.bsky.social out now: We discuss opportunities and challenges of causal inference from digital behavioral data, and methodological approaches for making these data fit for purpose:
link.springer.com/article/10.1...
New paper on causal machine learning with Nanum Jeon @nanum-jeon.bsky.social link.springer.com/article/10.1...
19.02.2026 20:26 — 👍 15 🔁 5 💬 0 📌 0
I was recently part of a panel discussion amongst the authors of papers on methods for new data sources in a special issue of Methods, Data, Analyses (MDA):
youtu.be/NryM0GGsXYY
I discuss new methods for secondary analyses of linked data sets, where some of the records may be linked in error.
We are delighted to welcome Leah von der Heyde! Leah joined KODAQS as a postdoc in the SDM department at GESIS, focusing on data quality aspects of survey data using AI methods. Leah's research explores AI usability for measuring and representing public opinion.
#KodaqsAcademy #AIinSurveys
Personal AI policy Students use AI for many tasks these days, but it is important if and when you use it that it becomes an augmentation and not a replacement of your own work. Supervisors can usually tell the difference, and my motivation to help will be directly related to the effort you put in. If I notice that you let AI work for you, you will simply get less from me in return. Don’t be afraid to share work that is imperfect or incomplete. A poor draft that reflects your own thinking is infinitely better than a draft that looks polished but where your thinking was not involved.
In addition to official policies that are in place, I've started including this 'personal AI policy' in communications with students I supervise.
16.02.2026 09:33 — 👍 39 🔁 4 💬 2 📌 0
Warum bekennen sich viele Menschen zur #Demokratie, wählen aber Politikerinnen & Politiker, die diese untergraben? Damit beschäftigt sich LMU-Politikwissenschaftler Alexander Wuttke, der nun eine #Förderung von 1,17 Millionen aus dem Emmy Noether-Programm der @dfg.de erhalten hat! #LMUMuenchen
12.02.2026 08:19 — 👍 37 🔁 5 💬 1 📌 0
Got a great paper on how AI is reshaping public opinion research? Submit it to POQ's special issue on Artificial Intelligence and the Future of Survey Research!
Papers are being reviewed and accepted on a rolling basis starting now – full details here: s3-us-west-2.amazonaws.com/clarivate-sc...
Check out our new paper on the demographic foundations of trust in science in @poqjournal.bsky.social
The tldr is that w/ all of the radical shifts in trust in the US over the last 50+ years, the demographic predictors of trust in science have been rock steady(!)
academic.oup.com/poq/advance-...
I made a map of 3.4 million Bluesky users - see if you can find yourself!
bluesky-map.theo.io
I've seen some similar projects, but IMO this seems to better capture some of the fine-grained detail
"Ten simple rules for teaching data science": arxiv.org/abs/2602.02874
A new preprint by @minecr.bsky.social and myself. We'd love any feedback!
I don't often wear political t-shirts, but I'm proudly sporting this one today.
I'm an immigrant.
I teach American (and international!) college students, research the U.S. economy, consult with policymakers, write books, raise my kids, pay taxes, and try to make this a better place.
What’s a multiverse good for anyway? Julia M. Rohrer, Jessica Hullman, and Andrew Gelman Multiverse analysis has become a fairly popular approach, as indicated by the present special issue on the matter. Here, we take one step back and ask why one would conduct a multiverse analysis in the first place. We discuss various ways in which a multiverse may be employed – as a tool for reflection and critique, as a persuasive tool, as a serious inferential tool – as well as potential problems that arise depending on the specific purpose. For example, it fails as a persuasive tool when researchers disagree about which variations should be included in the analysis, and it fails as a serious inferential tool when the included analyses do not target a coherent estimand. Then, we take yet another step back and ask what the multiverse discourse has been good for and whether any broader lessons can be drawn. Ultimately, we conclude that the multiverse does remain a valuable tool; however, we urge against taking it too seriously.
New preprint! So, what's a multiverse analysis good for anyway?>
With @jessicahullman.bsky.social and @statmodeling.bsky.social
juliarohrer.com/wp-content/u...
The figure shows the predicted probabilities by party vote, derived from the partially observed bivariate probit model, separately for willingness and completion, and the joint probability. Voters of the CDU/CSU, the AfD, the SPD, the LINKE, and BSW exhibit predicted probabilities of willingness to participate close to the sample average of 50%. Green Party voters show a higher predicted probability of willingness to participate, while the elevated probabilities among FDP voters are not statistically different from those of CDU/CSU voters. In contrast, voters of other parties and non-voters, including those who did not disclose their vote choice, display lower predicted probabilities of willingness. When it comes to donation completion, both Green Party and FDP voters stand out with higher predicted probabilities. As a result, the joint predicted probabilities indicate that voters of the Greens and FDP are the most likely to both opt-in and follow through with the data donation, even when controlling for age, gender, and education.
Who opts into a data donation study asking for Google Search histories – and more importantly, who actually donates their data? Sina Chen and I found that Green Party and FDP voters were more likely to follow through, hinting at political skew in donated data 👇
03.02.2026 13:11 — 👍 5 🔁 3 💬 2 📌 0
I wrote this song on Saturday, recorded it yesterday and released it to you today in response to the state terror being visited on the city of Minneapolis. It’s dedicated to the people of Minneapolis, our innocent immigrant neighbors and in memory of Alex Pretti and Renee Good.
Stay free
KODAQS Data Quality Certificate Program – Call for Applications for 2026 Cohort Structured certificate program that teaches data quality assessment and enhancement •Course: 16 March to 25 September 2026 •Application deadline: 8 February 2026 •Provided by the Competence Center for Data Quality in the Social Sciences (KODAQS)
🚀 KODAQS Data Quality Academy Certificate Program 2026 – Now Open for Applications!
6-month program for early-career researchers: data quality, processing & networking. Online blended learning, Mar–Sep.
Apply by 8 Feb ➡️ www.gesis.org/en/gesis-tra...
Today, we celebrate the 80th year of the @um-src.bsky.social at ISR by launching a new web panel starting Fall 2026. It is called M-Panel and will be collecting a national sample representative of the U.S.
20.01.2026 19:24 — 👍 12 🔁 6 💬 2 📌 1
🚨 #Bots and #LLMs threaten the integrity of online surveys and public opinion research, but we can identify LLM-generated text in open narrative responses by fine-tuning #BERT.
New #OpenAccess article with @jkhoehne.bsky.social @rubac.bsky.social @carohaensch.bsky.social.
👉 doi.org/10.1177/0894...
