Kianté

@kiante.bsky.social

cognitive models of decision making @UCLA kiantefernandez.com

A few days at the @jspsych.org Summer Hackathon 2026 turned into jspsych-ado: adaptive Bayesian experimental design that runs in the browser along with any jspsych experiment. It adapts each what it presents on each trial to what it has learned from a participant's earlier responses:

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Move over, GLM-HMM—there’s a new hidden Markov model in town. In our new preprint, we introduce the DDM-HMM: a model that jointly infers latent decision states from reaction times and choices. Using 24-hour behavioral data from rats, we found that evidence accumulation changes with time of day!

bioRxivpreprint@biorxivpreprint.bsky.social · 2mo ago

Diurnal rhythms of choice: a novel state-dependent drift diffusion model uncovers time-dependent changes in rat decision making https://www.biorxiv.org/content/10.64898/2026.05.25.727672v1

Time's running out to sign up for the Economic Science Association world meeting July 15-17 in beautiful Marina Del Rey (Los Angeles). The day before (July 14), we're hosting a "choice process" symposium with many amazing speakers. Best part - it's free with ESA registration.

🎉New positions!🎉 Postdoc and Research technician openings in our lab @yale for computational psychiatry research. Technician position a great stepping stone to grad school. More info: rutledgelab.org/positions Work w/big data from our smartphone apps and large clinical samples happinessquest.app

Postdoc and Research Technician Positions — Rutledge Lab

Now hiring a postdoc and a research technician with an interest in neuroeconomics or computational psychiatry.

rutledgelab.org

🚨New preprint and our results are rather concerning.. We find the "boiling frog" equivalent of AI use. Using large-scale RCTs, we provide *casual* evidence that AI assistance reduces persistence and hurts independent performance. And these effects emerge after just 10–15 minutes of AI use! 1/

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🚨NEW PREPRINT (w/ Fleming Peck & Hongjing Lu) "Spontaneous emergence of context-dependent statistical learning in humans and neural networks" We are constantly predicting what will happen next. Yet the same cue can lead to different predictions depending on context. How might this work...? 🧵1/8

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One initial line of defense could be to require transparency statements regarding how instruments have been vetted to combat malicious users, based on best practices (like a STAR editor check). In a recent workshop, we aimed to create such a compendium (see @andreaaaaa.bsky.social for access)!

Modern Threats to Online Surveys

kiante-fernandez.github.io

simine vazire@simine.com · 8mo ago

What should psychology journals do about this? What’s a reasonable policy/standard to apply to research using online data collection methods?

Thanks again to the Society for Judgment and Decision Making for helping continue the discussion on creating a system for data validation in the age of accessible bots in online research. Looking forward to continuing the conversation with the community! @sjdm-tweets.bsky.social

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Nick Byrd, Ph.D.@byrdnick.com · 8mo ago

How can we identify or block #AI #survey respondents? @andreaaaaa.bsky.social, Kianté Fernandez, @jbogard.bsky.social, and Craig Fox demoed examples, facilitated discussion, and tested our live suggestions. See their Modern Threats to Online Surveys: kiante-fernandez.github.io/sjdm-data-va...

Some general principles about how AI agents perform on online tasks.

📢 Thrilled to share our paper is out now in @natcomms.nature.com Shared computations underlie how we acquire actions that are mutually beneficial, instrumentally harmful (benefits self at the expense of others), altruistic (benefit others at the expense of self), or mutually costly 🧵 rdcu.be/eL8mZ

Neurocomputational basis of learning when choices simultaneously affect both oneself and others

Nature Communications - When learning to make choices that simultaneously affect the self and others, asymmetric encoding of information guides future social behaviors across mutually beneficial,...

rdcu.be

Excited to share our new paper out in PNAS: “Neural predictors of hidden, persistent psychological states at work.” Full paper at bit.ly/47oaGRR We brought portable fNIRS into the field to predict the subjective work-related “lenses” of business leaders. Check out the thread below for more! 1/8

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