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!

Uma Karmarkar@umakarma.bsky.social · 4w ago

I totally forgot to talk about a new paper from me, @johnclithero.bsky.social and Carolina Raffaelli in JEP:Gen✨ psycnet.apa.org/fulltext/202... Suppose you're offered a lottery ticket. Which info do you want to know about first - the likelihood of winning (risk) or the amount of the pot (reward)?

Was a privilege to present and participate in this event at UCLA. What an amazing mix of research!

Kianté@kiante.bsky.social · 3mo ago

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.

Rob Chavez@robchavez.bsky.social · 5mo ago

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.

Rob Chavez@robchavez.bsky.social · 11mo ago

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

tal boger@talboger.bsky.social · 12mo ago

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...

Opinion | Here Is the Science of Why You Doomscroll

nytimes.com

"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...

Defragmenting psychology - Nature Human Behaviour

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. We call on the field to defragment psy...

nature.com

Looks like a very cool paper!

Jonathan Nicholas@jonathannicholas.bsky.social · last yr.

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=...

Evaluating Behavioral Incentive Compatibility: Insights from Experiments

(Fall 2024) - Incentive compatibility is core to mechanism design. The success of auctions, matching algorithms, and voting systems all hinge on the ability to select incentives that make it in the in...

aeaweb.org

Adding this to my reading pile: "The affective gradient hypothesis: an affect-centered account of motivated behavior"

The affective gradient hypothesis: an affect-centered account of motivated behavior

Everyone agrees that feelings and actions are intertwined, but cannot agree how. According to dominant models, actions are directed by estimates of va…

sciencedirect.com

So true and so much more clever than my "misc 4" folder this year.

Margaret Echelbarger@bskybymidge.bsky.social · 2y ago

At the end of each term, any files remaining on my desktop go here to...likely be never opened again.

Timely article in latest JEL issue: "The Economics of Social Media" www.aeaweb.org/articles?id=...

The Economics of Social Media

(December 2024) - We provide a guide to the burgeoning literature on the economics of social media. We first define social media platforms and highlight their unique features. We then synthesize the m...

aeaweb.org

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...

Categories We Live By: How We Classify Everyone and Everything

An in-depth analysis of how humanity's compulsion to categorize affects every aspect of our lived experience.The minute we are born—sometimes even before—w

direct.mit.edu

Looks like an interesting read for #neuroeconomics folks

Nature Reviews Psychology@natrevpsychol.nature.com · 2y ago

The sensory valuation account of aesthetic experience Perspective by Marcos Nadal (@mnadal.bsky.social) & Martin Skov (@mskov01.bsky.social) Web: go.nature.com/3ZfccAG PDF: rdcu.be/d13QD

More ongoing great threads about complexity in decision making

Shengwu Li@shengwuli.bsky.social · 2y ago

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.

👏

Tomer Ullman@tomerullman.bsky.social · 2y ago

There's a lot of papers out there on optimal stopping but I think I've read enough.

Looks like a very cool paper! "Predicting and Understanding Individual-Level Choice Under Risk" eml.berkeley.edu/~kariv/EKO_I...

Wish there was a way to have animated figures more organically in more academic papers

Nathan Yau@flowingdata.com · 2y ago

I could've framed this better, but I do enjoy the ghost-y trails flowingdata.com/2024/11/14/e...

Looks like an excellent resource!

Neurosynth@neurosynth.bsky.social · 2y ago

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...

Toward an Integrative Conceptualization of Maladaptive Consumer Behavior | Journal of the Association for Consumer Research: Vol 6, No 3

Abstract Consumer research has explored several dimensions of maladaptive decision-making, including compulsive consumption and behavioral addiction. Here we propose extending this work by integrating...

journals.uchicago.edu

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...

Great #neuroeconomics starter pack!

Uma Karmarkar@umakarma.bsky.social · 2y ago

How about a Neuroecon Starter Pack? I didn't want to presume - I only added people who I *know* have attended a neuroecon conference or who've used this label on themselves (at least once). So additions are very very welcome! go.bsky.app/1K9Suh

"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=...

Supervised Machine Learning for Eliciting Individual Demand

(November 2023) - The canonical direct-elicitation approach for measuring individuals' valuations for goods is the Becker-DeGroot-Marschak procedure, which generates willingness-to-pay (WTP) values th...

aeaweb.org

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/...

Reconsidering the path for neural and physiological methods in consumer psychology

Recent decades have witnessed a burst of neuroscience research investigating mental and physiological processes central to consumer behavior, including sensory perception, memory, and decision making...

myscp.onlinelibrary.wiley.com

Just joined! Will be looking for #marketing #decisionmaking #jdm #consumerneuroscience #neuroeconomics