undisciplined data science of human behav.•
statistical inference & decision-making/RL•
AI for social good via socialscience•
@Mila_Quebec•
find me elsewhere
2 years ago I asked myself what work I could do that might have impact as the climate crisis deepens.
Social/economic phenomena seems central to solutions. So, I started a move from NeuroAI/RL to AI-powered social science.
I want to share a bit of my trajectory since. 🚀🧵
📰FIIR Workshop Alert! Future of Information Integrity Research
🎯Submit abstracts/papers (Tiny and Regular) in ACM PDF format →
⚠️Important:
1⃣Indicate your chosen track at the top of your PDF
2⃣Demo papers must include a link to the demo
📅Deadline: January 6th, 2026
@ryankatzrosene wildfires at low latitudes are much more locked to daily cycles? is the heat of the day such a driver? (more so than say the cold of northern Canada
@ttkeskinturk what's the standard reference for what made people move on? Is it Sewell's "A Theory of Structure: Duality, Agency, and Transformation" (1992)? I'm trying to understand the field as an outsider.
Thought-provoking, not only for the engineers, but to the physicists who admit identifiability of microscopic dynamics for most complex systems is practically impossible.
*very* excited to share a new *efficient* method for learning *marginally stable* and NONLINEAR dynamical systems, w. brilliant students Evan Dogariu and Anand Brahmbhatt @AnandBrahm15501:
https://t.co/gwVAaPVVst
more info in thread
*very* excited to share a new *efficient* method for learning *marginally stable* and NONLINEAR dynamical systems, w. brilliant students Evan Dogariu and Anand Brahmbhatt @AnandBrahm15501:
https://t.co/gwVAaPVVst
more info in thread
🥈"A Guide to Misinformation Detection Data and Evaluation" received Best Paper Runner Up at KDD Datasets and Benchmarks Track!
If you're at KDD, check out our presentation and poster!
Monday 18:30 - 21:00, Poster 170
Wednesday 15:30 - 17:30, Room 604
Today (w/ @UniofOxford@Stanford@MIT@LSEnews) we’re sharing the results of the largest AI persuasion experiments to date: 76k participants, 19 LLMs, 707 political issues.
We examine “levers” of AI persuasion: model scale, post-training, prompting, personalization, & more
🧵
@andrew_leach Not in the field/an expert, but also have this apparently inaccurate assumption about the industry's precarity from news coverage over the years. You indicate the industry itself propagates this narrative. Can you say more about that? It seems counterproductive to their interests
@michael_nielsen What does such a pledge mean in practice? Aren't automated gun technologies already quite advanced? Presumably, the main current hurdle to weaponized robots is not the weapon control, its the robot. Once the robot is there, it may be relatively straightforward to put a gun on it?
@corefpark Interesting results. Since you mention phase transitions, I am thinking of how the width limit works here, e.g. in light of the theoretical results of that models with finite width can nevertheless encode an infinite context window. https://t.co/sBL2XO6ZQe