Last term I tried an experiment: I walked into my Tech and Design Ethics class, admitted that I had *no idea* what to do about ChatGPT - so I would let them figure it out.
As in: their first project was to decide and write the ChatGPT policy for the class.
Here's what happened:
22.01.2026 23:36 — 👍 2310 🔁 846 💬 26 📌 231
We are happy to announce the call for papers for the third WhoGov Mini-Conference on Political Elites!
It will be held on August 20-21st, 2026 in Oslo. We welcome research on political elites broadly understood and not just papers using WhoGov.
You can find the call here: bit.ly/whogovminico...
09.01.2026 14:53 — 👍 49 🔁 26 💬 1 📌 4
Will you incorporate LLMs and AI prompting into the course in the future?
No.
Why won’t you incorporate LLMs and AI prompting into the course?
These tools are useful for coding (see this for my personal take on this).
However, they’re only useful if you know what you’re doing first. If you skip the learning-the-process-of-writing-code step and just copy/paste output from ChatGPT, you will not learn. You cannot learn. You cannot improve. You will not understand the code.
In that post, it warns that you cannot use it as a beginner:
…to use Databot effectively and safely, you still need the skills of a data scientist: background and domain knowledge, data analysis expertise, and coding ability.
There is no LLM-based shortcut to those skills. You cannot LLM your way into domain knowledge, data analysis expertise, or coding ability.
The only way to gain domain knowledge, data analysis expertise, and coding ability is to struggle. To get errors. To google those errors. To look over the documentation. To copy/paste your own code and adapt it for different purposes. To explore messy datasets. To struggle to clean those datasets. To spend an hour looking for a missing comma.
This isn’t a form of programming hazing, like “I had to walk to school uphill both ways in the snow and now you must too.” It’s the actual process of learning and growing and developing and improving. You’ve gotta struggle.
This Tumblr post puts it well (it’s about art specifically, but it applies to coding and data analysis too):
Contrary to popular belief the biggest beginner’s roadblock to art isn’t even technical skill it’s frustration tolerance, especially in the age of social media. It hurts and the frustration is endless but you must build the frustration tolerance equivalent to a roach’s capacity to survive a nuclear explosion. That’s how you build on the technical skill. Throw that “won’t even start because I’m afraid it won’t be perfect” shit out the window. Just do it. Just start. Good luck. (The original post has disappeared, but here’s a reblog.)
It’s hard, but struggling is the only way to learn anything.
You might not enjoy code as much as Williams does (or I do), but there’s still value in maintaining codings skills as you improve and learn more. You don’t want your skills to atrophy.
As I discuss here, when I do use LLMs for coding-related tasks, I purposely throw as much friction into the process as possible:
To avoid falling into over-reliance on LLM-assisted code help, I add as much friction into my workflow as possible. I only use GitHub Copilot and Claude in the browser, not through the chat sidebar in Positron or Visual Studio Code. I treat the code it generates like random answers from StackOverflow or blog posts and generally rewrite it completely. I disable the inline LLM-based auto complete in text editors. For routine tasks like generating {roxygen2} documentation scaffolding for functions, I use the {chores} package, which requires a bunch of pointing and clicking to use.
Even though I use Positron, I purposely do not use either Positron Assistant or Databot. I have them disabled.
So in the end, for pedagogical reasons, I don’t foresee me incorporating LLMs into this class. I’m pedagogically opposed to it. I’m facing all sorts of external pressure to do it, but I’m resisting.
You’ve got to learn first.
Some closing thoughts for my students this semester on LLMs and learning #rstats datavizf25.classes.andrewheiss.com/news/2025-12...
09.12.2025 20:17 — 👍 331 🔁 99 💬 14 📌 31
University of Birmingham photo
SAVE THE DATE! We are pleased to announce that the 8th COMPTEXT Conference will take place at the Institute of Data and AI (lnkd.in/ebN7za_Q) of the University of Birmingham, 23-25 April 2026, with @chrisguarnold.bsky.social serving as the lead local organiser. Call for Papers coming soon!
14.11.2025 14:19 — 👍 26 🔁 10 💬 0 📌 2
It's finally out! All parliamentary committee assignments for 14 countries, 30+ years, harmonized with other MP and parties datasets
08.10.2025 13:22 — 👍 29 🔁 4 💬 0 📌 0
ggplot2 4.0.0
A new major version of ggplot2 has been released on CRAN. Find out what is new here.
I am beyond excited to announce that ggplot2 4.0.0 has just landed on CRAN.
It's not every day we have a new major #ggplot2 release but it is a fitting 18 year birthday present for the package.
Get an overview of the release in this blog post and be on the lookout for more in-depth posts #rstats
11.09.2025 11:20 — 👍 850 🔁 281 💬 9 📌 51
Please apply! join us in beautiful Copenhagen.
14.08.2025 17:19 — 👍 5 🔁 4 💬 0 📌 0
Apply to EuroWEPS 12/13! We're organizing the next EuroWEPS workshops at Bocconi (Nov 14) and EUI (Dec 15) to discuss designs/papers focusing on causal inference. No presentations, just constructive discussions. Early career scholars are especially welcome to apply! Submission deadline is Sep 30
14.08.2025 17:06 — 👍 47 🔁 30 💬 1 📌 5
🚨 We're #hiring at LSE! Join our Department of International Relations:
🔹Assistant Professor in IR (International Security)
➡️ bit.ly/41l2GOa
🔹Assistant Professor in IPE
➡️ bit.ly/4ogBjPj
📆 Deadline: 7 September 2025.
📢 Please share widely!
#AcademicJob #AcademicSky #PoliSky
04.08.2025 17:20 — 👍 13 🔁 19 💬 0 📌 1
The Call for Papers for the first @epssnet.bsky.social conference is out. Please submit a paper or a panel.
01.08.2025 07:17 — 👍 21 🔁 11 💬 1 📌 0
Job alert! 🚨 PLEASE SHARE!
I'm hiring a LSE Fellow (postdoc) in the School of Public Policy!
To provide teaching support on our core political science course (which is what I teach) + time for individual research.
Closes March 31: jobs.lse.ac.uk/Vacancies/W/...
Questions? Email me!
06.03.2025 18:09 — 👍 91 🔁 65 💬 2 📌 1
We are hiring a PhD candidate in political science and political economy at the Copenhagen Business School. May 1 deadline. Full ad here: www.cbs.dk/cbs/jobs-paa...
19.02.2025 11:42 — 👍 7 🔁 2 💬 0 📌 0
🚨Call for Papers🚨 Psyched to announce the CBS-Princeton Money in Politics conference to be held in Copenhagen, June 2024. Third iteration of the conference, always a fantastic experience. Send us your papers before Jan 5, '24!
Link: shorturl.at/ampPV 1/2
07.10.2023 14:05 — 👍 26 🔁 23 💬 3 📌 4
Independent researcher, studying the links between political science and public understanding of science. #politicalpsychology #far-right #geneticessentialism. From Canada. https://alexandremorinchasse.wixsite.com/accueil
Assistant professor of Political Science at the University of California, Irvine | researching and teaching IPE, financial politics, global inequality | fan of plants, birds, snacks, sci-fi, quilting | she/her
art & architectural historian / visual, material & religious culture
Professor of political science, University of Oslo. Indian politics, comparative politics, political economy, gender and politics, research methods & more
www.francesca.no
Political scientist working on parties, European politics, and representation.
Professor of Data Science and Public Policy | Director @ Hertie School Data Science Lab | Elections, Public Opinion, Data
The European Political Science Society: the not-for-profit professional association for political science in Europe and beyond
https://epssnet.org/
asst prof of computer science at cu boulder
nlp, cultural analytics, narratives, communities
books, bikes, games, art
https://maria-antoniak.github.io
Professor of Political Science, University of Oslo. Interests: EU politics, comparative legislative politics, comparative European Politics & political data science.
he/him - writing statistical software at Posit, PBC (née RStudio)🥑
simonpcouch.com, @simonpcouch elsewhere
Lecturer (Assistant Professor) in Comparative Politics at Newcastle University
I study autocratization, radical politics & information-updating
More on: https://www.kmchan.page/
Researcher, Institute for Social Research, Norway
Assistant Professor at WUSTL Political Science. Comparativist studying electoral systems, distributive politics, political parties, and Mexican institutions. Proud Mexican.
Associate professor at University of Southern Denmark. Research on political behaviour, comparative politics and democratic representation
Professor of political science @SciencePoULB | Cevipol
Parties, elections, participation
Stein Rokkan Chair in Comparative Politics, EUI. President-Elect, @epssnet.bsky.social. FBA, FRSA. Democracy, parties, elections, electoral systems etc. Live music. COYI
Professor of Political Science at Stanford | Exploring money in politics, campaigns and elections, ideology, the courts, and inequality | Author of The Judicial Tug of War cup.org/2LEoMrs | https://data4democracy.substack.com
Professor (michaelinzlicht.com), Podcaster (www.fourbeers.com), Writer (www.speakandregret.michaelinzlicht.com)
Clinical psychology researcher | applied statistics geek | so called #RStats influencer