John Clithero
John Clithero
@johnclithero.bsky.social
Associate Professor of Marketing, Decision Making, Computational Modeling, Neuroeconomics, Consumer Neuroscience.
857 followers445 following32 posts
Congrats to Mike Woodford on winning the Nobel Prize! Some of his recent work is also quite exciting, working on how "cognitive noise" and "cognitive imprecision" play a foundational role in decision making: blogs.cuit.columbia.edu/mw2230/recen...
2026 economic sciences laureate Michael Woodford, was born in 1955 in Chicopee, Massachusetts, USA. He earned his PhD in 1983 from @mit.edu, Cambridge, USA. He is currently a professor at @columbiauniversity.bsky.social, New York, USA. https://iserp.columbia.edu/content/michael-woodford
I feel this so very deeply during week 1 every time I teach.
ok so you know how we all get like that overwhelming horror when we consider how many people in applied quant classes do not know what a file directory is or what a filepath is or etc. my question is, how do these people ordinarily retrieve saved files. search? like they remember the filenames?
Very excited to see this out in print in JEP:Gen this month! Work on sequential information preferences in risky decision making. I continue to be super lucky to have @umakarma.bsky.social as a co-author, and now am fortunate to have Carolina as one, too!
Was a privilege to present and participate in this event at UCLA. What an amazing mix of research!
What a weekend! Thanks to everyone who joined @krajbichlab.bsky.social and me at West Coast Neuroecon. Big appreciation for our speakers, attendees, and generous sponsors: the UCLA Brain Research Institute and the Luskin Endowment for Thought Leadership. krajbichlab.github.io/WCNE/
Fortunate to be a part of this! Moriah had an incredible dissertation and I was lucky to be on her dissertation committee.
Excited to share our latest paper on computational mechanisms of self-enhancement with links to mental health. We used hierarchical Bayesian drift diffusion modeling to decompose choices on a social comparison task and relate them internalizing symptoms. journals.sagepub.com/eprint/GPFSV...
"To the degree that these tools are saving time and energy, I am not seeing researchers reinvest those savings into developing a deeper understanding of their subject matter, making connections to new ideas, or otherwise investing in advancing their current skillset." Wonderful essay.
My latest piece, on apprenticeship, artificial intelligence, and intrinsic motivation. Handcrafted from the heart. Please, share and enjoy. open.substack.com/pub/robchave...
Continue to be amazed by and draw research inspiration from vision science
On the left is a rabbit. On the right is an elephant. But guess what: They’re the *same image*, rotated 90°! In @currentbiology.bsky.social, @chazfirestone.bsky.social & I show how these images—known as “visual anagrams”—can help solve a longstanding problem in cognitive science. bit.ly/45BVnCZ
What a wonderful essay in the NYTimes by Emily Falk @falklab.bsky.social that blends together many #neuroeconomics results www.nytimes.com/2025/07/06/o...
"Psychology is fragmented into the study of a myriad of constructs and measures, most of which are used very rarely. This hinders cumulative knowledge generation." www.nature.com/articles/s41...
Looks like a very cool paper!
Excited to share a new paper with Daphna Shohamy & @nathanieldaw.bsky.social! Using fmri reactivation, we measured *when* people build preferences from memory. We found that people tend to do so before a choice, but that they also wait until choice time when options are linked to multiple memories
"Evaluating Behavioral Incentive Compatibility: Insights from Experiments" www.aeaweb.org/articles?id=...
Adding this to my reading pile: "The affective gradient hypothesis: an affect-centered account of motivated behavior"
Timely article in latest JEL issue: "The Economics of Social Media" www.aeaweb.org/articles?id=...
Just finished reading "Categories We Live By: How We Classify Everyone and Everything" Highly recommended! Both serious and entertaining examples of how categorization is challenging. direct.mit.edu/books/monogr...
More ongoing great threads about complexity in decision making
I like Ryan’s paper and (obviously) I think complexity matters for behavior. But I think Florian’s updating too much from one experiment. I want to see replications and results from ‘nearby’ designs before saying the lottery anomalies have nothing to do with risk.
Looks like a very cool paper! "Predicting and Understanding Individual-Level Choice Under Risk" eml.berkeley.edu/~kariv/EKO_I...
Looks like an excellent resource!
Check it out! The future of Neurosynth. We launched Neurosynth Compose: A free and open platform for neuroimaging meta-analysis. NS-Compose makes it easy to perform custom neuroimaging meta-analyses without leaving the browser. It's live, check it out! compose.neurosynth.org
Lots of new followers! Hi! Here is a 2021 piece in JACR w/ @umakarma.bsky.social and Ming Hsu: "Toward an Integrative Conceptualization of Maladaptive Consumer Behavior" we combine concepts from marketing, psychiatry, and #neuroeconomics www.journals.uchicago.edu/doi/abs/10.1...
Very excited about this paper w/ Moriah Stendel and @robchavez.bsky.social "Computational Mechanisms of Self-enhancement During Social Comparison and their Relationship to Internalizing Symptoms" osf.io/preprints/ps...
"Supervised Machine Learning for Eliciting Individual Demand" published last year in AEJ Micro w/ Josh Tasoff and JJ Lee. For those interested in choice prediction, WTP elicitation, and machine learning applied to experimental data. www.aeaweb.org/articles?id=...
New account here so I will mention some of my recent papers! Here is one earlier this year in JCP, with @umakarma.bsky.social , Gideon Nave, & Hilke Plassmann: "Reconsidering the path for neural and physiological methods in consumer psychology" myscp.onlinelibrary.wiley.com/doi/10.1002/...
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