David Jurgens
@davidjurgens.bsky.social
2.9K followers 470 following 49 posts
Associate prof at @UMich in SI and CSE working in computational social science and natural language processing. PI of the Blablablab blablablab.si.umich.edu
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Reposted by David Jurgens
chrisbail.bsky.social
Junior and senior faculty positions in computational social scientists at Bocconi, one of the world's best universiites: Assistant Prof: jobmarket.unibocconi.eu?id=841
Associate/Full Prof: jobmarket.unibocconi.eu?id=843
Job Market - Bocconi University
Recruiting, Faculty, Post-doc Grant, Collaboration Contracts
jobmarket.unibocconi.eu
Reposted by David Jurgens
gabriellalapesa.bsky.social
Join our Computational Social Science department at GESIS! PhD position in Research Software Engineering!
sebstier.bsky.social
📢 We're hiring a Doctoral Student in Research Software Engineering for Digital Behavioral Data!
Work at the intersection of computer science and social science, develop innovative tools, and pursue your doctoral degree with us.

👉 Apply here: www.gesis.org/en/institute...
Details
GESIS Leibniz Institut für Sozialwissenschaften
www.gesis.org
Reposted by David Jurgens
dbamman.bsky.social
The UC Berkeley School of Information is hiring an assistant professor in the broad field of Information--including areas of info seeking/retrieval, digital humanities, cultural analytics, info viz, & philosophy of information (among others). Deadline Nov 1! aprecruit.berkeley.edu/JPF05014
Assistant Professor - Information - School of Information
University of California, Berkeley is hiring. Apply now!
aprecruit.berkeley.edu
Reposted by David Jurgens
mdehghani.bsky.social
Come work with us at USC! We're hiring an NSF-funded Postdoc for the Everyday Respect Project. 🤖

You'll work directly with me, Ben Graham, and Shri Narayanan, using cutting-edge AI to analyze police body-worn camera footage to improve police-community relations.
Postdoctoral Scholar - Research Associate at USC
Learn more about applying for Postdoctoral Scholar - Research Associate at USC
usccareers.usc.edu
davidjurgens.bsky.social
Interesting in being a future faculty member at UMSI? We're recruiting for the Presidential Postdoctoral Fellowship Program (PPFP) this year, which is a two-year postdoc with an opportunity to convert to faculty at the end (several current faculty were PPFP fellows!). The deadline is a month away...
Reposted by David Jurgens
jurafsky.bsky.social
Now that school is starting for lots of folks, it's time for a new release of Speech and Language Processing! Jim and I added all sorts of material for the August 2025 release! With slides to match! Check it out here: web.stanford.edu/~jurafsky/sl...
Speech and Language Processing
Speech and Language Processing
web.stanford.edu
Reposted by David Jurgens
dustinbwright.com
🎉 Our work on attribution in summarization is now accepted to #EMNLP2025 main! 🎉

"Unstructured Evidence Attribution for Long Context Query Focused Summarization"

w/ @zainmujahid.me , Lu Wang, @iaugenstein.bsky.social , and @davidjurgens.bsky.social
Reposted by David Jurgens
jonrbrennan.bsky.social
Another job here at Michigan - this one in Linguistics! Part of a cluster of hires with a focus on Cognitive Science and AI. Happy to chat to interested folks. apply.interfolio.com/171006
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
apply.interfolio.com
Reposted by David Jurgens
ds-hamburg.bsky.social
Wondering what makes each of us unique and how AI should handle human diversity? 🤔

We're organizing Identity-Aware AI workshop at #ECAI2025 Bologna on Oct 25.

Deadline: Aug 22
Website: identity-aware-ai.github.io
Identity-Aware AI Workshop announcement. Co-located with ECAI 2025 in Bologna on October 25, with submission deadline August 22. Topics include: Methods for effective, fair, and inclusive AI; Critiques of AI on the exclusion of identities; Methods for detecting and controlling bias; Perspectivist approaches to AI. Submission types: Long papers (8 pages), Short papers (4 pages), Extended abstracts, Mixed-media submissions (videos, blogs, codebase, artworks). For details, visit: identity-aware-ai.github.io
Reposted by David Jurgens
aclmeeting.bsky.social
Best Resource Paper (1/2) #ACL2025NLP
davidjurgens.bsky.social
Feel free to reach out on BlueSky or email if you want to connect (I'm terrible at checking Whova)
davidjurgens.bsky.social
I'll be at #ACL2025 with a variety of papers on podcasts, linguistic accommodation, whether papers cite accurately, multilingual morals, demographically-prompted LLMs, how tokenization affects style recognition, and new multilingual data for author attribution. Looking forward to catching up!
davidjurgens.bsky.social
Michigan allows it and I haven't heard of any issues from the sponsored research office about the terms
davidjurgens.bsky.social
There's also an opt-in raffle for five $100 cash awards. Scientists from any research area, career track, or stage (including student research assistants) are invited. If you want to share your experiences umich.qualtrics.com/jfe/form/SV_...
Scientists who Program Survey
A survey for scientists who program and their experience with development practices and generative AI code tools.
umich.qualtrics.com
davidjurgens.bsky.social
Do you using GenAI to help code? My colleague Elle O'Brien is running a study to answer questions about your programming practices and tool usage, including experiences with AI code assistants. The survey is anonymous and should take no more than 10-15 minutes to complete.
Reposted by David Jurgens
dustinbwright.com
Open PhD positions in Denmark! daracademy.dk/fellowship/f...

If you want to apply to work with me and Johannes Bjerva at @aau.dk Copenhagen, I'll be at @ic2s2.bsky.social this week and @aclmeeting.bsky.social next week! DM me if you'd like to meet :)
Dara
daracademy.dk
davidjurgens.bsky.social
There are a bunch of other interesting experiments in the paper too. I'll be around ACL too so come chat with any of us
davidjurgens.bsky.social
This isn't to say that some future model can't learn these preferences BUT it strongly suggests that we need to be more careful when when trying to model different sources of systematic rating variance. If we hadn't also tested annotator variance we would have incorrectly thought demographics helped
davidjurgens.bsky.social
... it turns out LLMs are mostly treating demographic combinations as annotators' IDs and just learning individual preferences. These are useful too and just leaning annotator preferences does equally as well as using demographics. But adding demographics with annotator IDs didn't help at all!
davidjurgens.bsky.social
This paper was such a fun collaboration—and a surprising result. I fully expected we could train LLMs to learn demographic preferences in ratings but
morlikow.bsky.social
I will be at #acl2025 to present "Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals’ Subjective Text Perceptions" ✨

Huge thank you to my collaborators Jiaxin Pei @paul-rottger.bsky.social Philipp Cimiano @davidjurgens.bsky.social @dirkhovy.bsky.social 🍰

more below
Picture of Matthias Orlikowski presenting a poster on the paper titled "Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals’ Subjective Text Perceptions". The poster is similar to the one that will be presented at ACL 2025, showing a number of figures about the key results.