Mark Ho

Mark Ho

@markkho.bsky.social

computational cog sci • problem solving and social cognition • asst prof at NYU • https://codec-lab.github.io/

2K followers875 following51 posts

Mark Ho reposted

@harootonian.bsky.social 's paper on cognitive strategies in teaching is now out in Nature Human Behavior! 🎉🎉 Very excited about this line of work bc it combines efficient decision-making with theory of mind - check out Sev's thread 👇

Sev Harootonian@harootonian.bsky.social

My main PhD paper is finally out in Nature Human Behaviour! The question: what cognitive strategies do people use when they teach, and can we nudge them toward a better one? Work with my PhD mentors @yaelniv.bsky.social, @markkho.bsky.social and @cocoscilab.bsky.social. 1/5

Mark Ho reposted

Mark Ho reposted

@harootonian.bsky.social 's paper on cognitive strategies in teaching is now out in Nature Human Behavior! 🎉🎉 Very excited about this line of work bc it combines efficient decision-making with theory of mind - check out Sev's thread 👇

Sev Harootonian@harootonian.bsky.social

My main PhD paper is finally out in Nature Human Behaviour! The question: what cognitive strategies do people use when they teach, and can we nudge them toward a better one? Work with my PhD mentors @yaelniv.bsky.social, @markkho.bsky.social and @cocoscilab.bsky.social. 1/5

Mark Ho reposted

This week's #PaperILike is "People construct simplified mental representations to plan" (Ho et al., Nature 2022). People generate ("construe") simplified task representations on-the-fly. (Robots should too!) Also: awesome first paragraph. PDF: arxiv.org/abs/2105.06948

arxiv.orgPeople construct simplified mental representations to planOne of the most striking features of human cognition is the capacity to plan. Two aspects of human planning stand out: its efficiency and flexibility. Efficiency is especially impressive because plans...

Mark Ho reposted

Looking to work with a postdoc. Prior experience with fMRI and computational modeling required, interest in psychiatry desired. Fellowship provides three years salary plus independent travel/equipment funds. Send CV and 2-3 manuscripts (preprints OK).

Mark Ho reposted

This gorgeous essay from the social-media-less Lily Hu is everything: on what it means to "do" philosophy amidst pressure to automate it (with lessons that travel much more broadly). Rhymes with brilliant insights from @biblioracle.bsky.social @janerosenzweig.bsky.social Ted Chiang & others

blnreview.deLily Hu · Un-Doing PhilosophyAnalytic philosophers in the United States are increasingly embracing AI, both by taking advisory positions at tech companies and by using large language models for their own research and writing. Som...

Mark Ho reposted

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...

forms.gleCCN 2026 Naturalistic Problem Solving event interest formPlease 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...
Liu, Shuze@liushuze.bsky.social

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.

Mark Ho reposted

Truly bizarre story of how two papers from the 1940s by physics pioneer Max Planck have been "retracted" from Naturwissenschaften, potentially by an algorithm, for anachronistic "plagiarism" issues, leaving the current editor baffled (but it is Springer Nature so.... www.science.org/content/arti...

science.orgWhy have papers by one of history’s most famous physicists been retracted?Springer Nature has removed two studies by Max Planck. A bot may be to blame

This is an interesting set of results Reminds me of anti-humor, eg A: What did one lawyer say to the other lawyer? B: I don't know, what did they say? A: "We're both lawyers!"

Bella Fascendini@bellafascendini.bsky.social

New paper! w/ @cocoscilab.bsky.social🧵Can large language models reason flexibly, or have they learned what reasoning looks like? We introduce a new paradigm to test this question—the riddle riddle—and find that humans and LLMs show opposite patterns of performance. 📜

Mark Ho reposted

How 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

framing-the-problem.github.ioFraming the Problem — Workshop SeriesA workshop series on representation construction in cognitive science and AI. CogSci 2026 (Rio) and CCN 2026 (NYU).

Mark Ho reposted

If you're going to Cogsci, you should check out this workshop being organized by @davidnagy.bsky.social and @hanqizhou.bsky.social from hmc-lab.com, together with an all-star cast of co-organizers and speakers. I'll be heading there straight from teaching at @bamb-school.bsky.social

Mark Ho@markkho.bsky.social

How 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

Mark Ho reposted

Come join us!

Mark Ho@markkho.bsky.social

How 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

Mark Ho reposted

We're bringing the Knicks Championship Parade to the people — no matter where you are. Watch live at nyc.gov/knicks or on the NYC Mayor's Office YouTube, X, and Facebook at 10AM EST tomorrow. Stick around for the City Hall Ceremony following the parade.

Mark Ho reposted

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.

Mark Ho@markkho.bsky.social

How 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

How 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

framing-the-problem.github.ioFraming the Problem — Workshop SeriesA workshop series on representation construction in cognitive science and AI. CogSci 2026 (Rio) and CCN 2026 (NYU).
View full thread

How 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

framing-the-problem.github.ioFraming the Problem — Workshop SeriesA workshop series on representation construction in cognitive science and AI. CogSci 2026 (Rio) and CCN 2026 (NYU).
View full thread

The two workshops approach this from complementary angles while sharing a core set of questions related to normative modeling, naturalistic tasks, the reuse of task representations, and new modeling paradigms (eg LLMs).

How 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

framing-the-problem.github.ioFraming the Problem — Workshop SeriesA workshop series on representation construction in cognitive science and AI. CogSci 2026 (Rio) and CCN 2026 (NYU).

In Cognitive Science and AI, the question of distilling complexity is captured by the *frame problem*: How does an intelligent agent pick out the details of a situation relevant to its decisions?

There has been a wave of theoretical and methodological progress on this classic topic in recent years. We want to take stock and chart a path forward 💭

Mark Ho reposted

I'm attending a digital humanities event in Montreal. There was a keynote on AI and something about the talk made me wonder if it had been written by Claude. I said as much in the Q&A. As I posed the question, the speaker shifted, looking slightly uncomfortable. What he said next shocked the room +

Mark Ho reposted

Holden Thorp is an institutionalist. He's been a university chancellor, provost, now EiC of Science. When institutionalists pull the fire alarm, we listen, because the call to action he issued this week exposes the dire nature of the threat we are facing. 1/ www.science.org/doi/10.1126/...

science.orgAnother red alert for American scienceAlthough research has bipartisan support in the US Congress, and trust in science is above 75% across the country, the Trump administration seems as determined as ever to mortally wound the nation’s s...

Mark Ho reposted

Mark Ho reposted

wow — the preprint host, arxiv, is banning authors for a year if they submit papers with hallucinated citations 🤖

Helen Branswell 🇨🇦@helenbranswell.bsky.social

I find this unsettling: A new study in #Lancet shows that the number of faux citations in scientific articles is on the rise, and #AI is likely to blame. @aniloza.bsky.social reports. www.statnews.com/2026/05/07/l...

Mark Ho reposted

We recently taught a methods course supported by Experimentology + various primary readings. Experimentology was a truly fantastic resource! psych-methods.netlify.app

psych-methods.netlify.appGraduate Research Methods in Psychology
Mike Frank@mcxfrank.bsky.social

Many of us were taught experiments are for testing hypotheses. In Ch 1 of Experimentology, our free, open methods textbook, my coauthors and I argue differently: experiments are for estimating the magnitude of causal effects. This reframing has important consequences. 🧵 experimentology.io

Some fun stats from this paper! eg the paper a scientist cites the most is typically published 2 years before their own first pub

jamesyoungevans.bsky.social@jamesyoungevans.bsky.social

Out today in @science.org: with the amazing Haochuan Cui, Yiling Lin, & @lingfeiwu.bsky.social, we analyzed 3.6 million scientists publishing 1960–2020. The findings reshape a century-old debate about age and scientific creativity.

Mark Ho reposted

🚨 New preprint w/ Valerio Rubino and Peter Dayan: how do people discover and use compositional structure under constraints? osf.io/preprints/ps... A key factor is a simple heuristic that favors reuse of repeated and symmetric fragments across scales, is robust to time pressure, and sped up RTs 🧵👇

Excited that this work with @rachitdubey.bsky.social and @cocoscilab.bsky.social is finally officially out!

Cognition@cognitionjournal.bsky.social

A computational theory of Aha! moments! New paper explaining why Aha! moments occur & why they feel so good. TLDR: They are a form of meta-cognitive prediction errors i.e. they occur when we surprise ourselves about our own abilities! @rachitdubey.bsky.social www.sciencedirect.com/science/arti...

Mark Ho reposted

New Annual Review with @nathanieldaw.bsky.social: “Planning in the Brain: It's Not What You Think It Is.” We argue that the brain's 'planning' machinery is mostly used for learning from simulated experience, and that thinking prospectively at decision time is just one special case of this process.

annualreviews.orgPlanning in the Brain: It's Not What You Think It IsThe neuroscience of planning has long been analogized to search algorithms in artificial intelligence (AI), which simulate future actions to guide immediate choices. We argue that advances in both neu...

Mark Ho reposted

I have just finished reading The Technology of Teaching by Skinner it confirmed two ideas for me. First, the image of Skinner as an “evil” behaviorist is false. Reading him directly, I find a profoundly humanist thinker. Second, he may be more useful than expected in our AI-powered era Few takeaways