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#OpenAccess - ‘Super-Unsupervised’ Classification for Labelling Text: Online Political Hostility as an Illustration - cup.org/40yLQrZ - Stig Hebbelstrup Rye Rasmussen, Alexander Bor, Mathias Osmundsen & Michael Bang Petersen (all Aarhus Universitet) #FirstView

Interested in methods for causal inference, machine learning, and measurement with network data? Join me for a week (6/12-6/16) in Ann Arbor for my ICPSR Summer Program course on, "Recent Advances in Network Analysis." More: icpsr.umich.edu/web/pages/sump…

State politics scholars, the State Politics & Policy section of APSA is seeking proposals to host the 2024 State Politics conference. I hosted it @GVPTUMD in 2019 and it was a great experience. Happy to answer questions.

It’s publication week for The Elevator Effect, an OUP Law book about the effects of collegiality on judicial behavior with @HazeltonPhDJD and Rachael Hinkle. A thread: (1/9)

Excited to see this out! We’re currently working on an #rstats package to implement the methods, and should be able to share that soon.

Another new article! This time in collaboration with Stan Korotchenko @ Tarleton State, Ruijie Mao and Marv Krohn @ UF. We map the last two decades of criminal justice research, and analyze international collaboration patterns among criminologists. doi.org/10.1007/s10940…

Learn about Machine Learning instructor Bruce Desmarais's first foray into machine learning methods as a graduate student in "Milk, Eggs, and Courts: My First Machine Learning Project" on the Statistical Horizons blog! bit.ly/sh-ml-blog

Glad to publish a networks paper "Expansion, cohesion and diversity: The network advantages of microfinance groups in Indian villages" at the Journal of International Development Journal_Int_Development doi.org/10.1002/jid.38…

In the second post I've made to Substack, I reflect on the first research project I worked on that involved "machine learning". sodasci.substack.com/p/milk-eggs-an…

We are hiring! Cohire between Penn State Political Science and PS Institute for Computational & Data Sciences. Open rank & open subfield, with emphasis on social data analytics. I’m chairing the search. Please reach out with any questions or recommendations. psu.wd1.myworkdayjobs.com/PSU_Academic/j…

Obviously I haven't earned my opinion here. But I've thought about this a lot because much of my methods training came from outside of poli. sci. and this has been both a positive and negative. Hot take: I think this is good advice for your career but bad for science. 1/n

Excited to see this out! Yuehong Cassandra Tai was a superb leader on this project. It is the first article I've collaborated on in which the objectives were purely descriptive. The editor and reviewers at Journal of Information Technology & Politics were great to work with.

Our article Training Computational Social Science PhD Students for Academic and Non-Academic Careers is finally out! Please share with your students, and consider add this on your graduate scope and methods class. Thanks Jae Yeon Kim @jaeyeonkim.bsky.social for leading the team! bit.ly/3RtVZFv

A new interesting article, “As the crow flies: tracking policy diffusion through stakeholder networks”, by Evan M. Mistur and Daniel C. Matisoff is now available on our FirstView page: t.ly/p8K6Z

Thanks to everyone at Center for Political Studies for the invitation to speak, the excellent feedback, and energizing meetings! I presented joint work with PSU PhD student Rebekah Fyfe on new methods for inferring and adjusting for networks though which units depend in panel regression.

Very excited to offer this machine learning workshop for Statistical Horizons! Please feel free to dm or email with any questions.

It has been an exciting year to teach machine learning! In this post, I share some thoughts on the ML foundations of recent innovations in AI.

Was the COVID-19 pandemic a rhetorically unifying or divisive event for elites in the US? I test this at the federal, state, and local level. Initially COVID was a unifying event... quickly became a divisive topic, especially for Congressional Republicans. journals.sagepub.com/doi/10.1177/15…

🚀 Just launched: The first post in our blog/newsletter series, the DAPR Blog, in which we write on topics related to our NSF-Funded project covering online engagement by/with public officials! 📊 sites.psu.edu/dapr/2024/03/2…

Late post but excited to announce that our work examining the online visibility of political elites has been accepted to #ICWSM 2025! Joint work with my advisor Yu-Ru Lin, Cassandra and Bruce Desmarais. Preprint: arxiv.org/abs/2407.16014