UAI 2026 paper: A genetic perturbation can change the connectome, a new policy can rewire economic links between firms. In each case, interventions change the graph itself which standard SCMs treat as fixed. We tackle this in Partially Observed Structural Causal Models (POSCMs).
I'm incredibly honored to have been awarded the Glushko Dissertation Award! 🎓 Thanks to everyone who supported me along the way. If you're at #CogSci2026 in Rio 🇧🇷, I'll be presenting on Saturday at 12:25PM. I'd love to see familiar faces and meet new ones; excited for some great discussions!
Can't wait for #cogsci2026 in Rio 🇧🇷! Check out some of the exciting new work this year by the hmc-lab.com and collaborators. Sadly, @davidnagy.bsky.social won't be attending due to illness, so I'll be subbing in to help out with the framing-the-problem.github.io/cogsci2026.h... workshop.
finally!!!
Charley Wu@thecharleywu.bsky.social · 4w ago🎓Congratulations Dr. @hanqizhou.bsky.social on successfully defending her thesis with the highest distinctions (summa cum laude)! It's been an honour and a privilege working together over the past years, and you've reshaped how I understand cognition via your creative and bold ideas. Bravo! 👏🥳
We're looking for volunteers for our #CCN2026 community event's live problem-solving demos! Join a 10min think-aloud session solving an everyday planning task or playing a video game, and help kick off our panel discussions. 🎬 🙌 Please sign up here if you're interested: forms.gle/D7HNwFE1pet9...
CCN 2026 Naturalistic Problem Solving event interest form
Please fill out this form if you're interested in attending our community event at CCN 2026! No sign-up required to join, but an RSVP helps us get a headcount. Time: Wednesday, 5th August 2026, 16:0...
forms.gle
Join us at both conferences this summer! Our #CogSci2026 workshop features a series of invited talks on problem representations and abstractions. Our #CCN2026 community event opens a broader discussion on naturalistic problem solving: frameworks, tasks, methods, and where the field should go next.
Most models of learning ask what you can represent. We think the real bottleneck is what you can afford to find, since searching for a good representation is itself expensive. New preprint w/ @davidnagy.bsky.social, Peter Dayan & @thecharleywu.bsky.social 🧵👇
Come join us!
Mark Ho@markkho.bsky.social · 2mo agoHow do human minds make sense of big, messy problems? 😵💫🌀 How do we distill complexity into something simple enough to solve? 🤔💡 We’ll be tackling these questions (and more!) at two workshops on task representations, abstractions, and construals #CogSci2026 #CCN2026 🧵 framing-the-problem.github.io
Proud of the work from hmc-lab.com & collaborators @ #CogSci2025 this year, but sad I cant be there myself @hanqizhou.bsky.social @davidnagy.bsky.social @alexthewitty.bsky.social @stepalminteri.bsky.social @brendenlake.bsky.social @kefang.bsky.social @rdhawkins.bsky.social @meanwhileina.bsky.social
