Todd has been selected to receive a 2014 James S. McDonnell Foundation Understanding Human Cognition Scholar Award. Many thanks to the James S. McDonnell Foundation for their generous support of our research.- 6.30.2014

Congratulations to Anna Coenen who received notification that her Cognitive Science 2014 paper was selected for the Marr Award! The Marr Award, named in honour of the late David Marr, is given annually to the best student paper at the Cognitive Science conference. - 6.30.2014

Todd will be talking about some of our self-directed learning research at Teachers College on Tuesday, 4/29/14 at 11:30 in 277 Grace Dodge Hall.- 4.23.2014

Doug Markant (web) successfully defended his dissertation “Into the unknown: How uncertainty guides self-directed exploration and learning. Congrats and we look forward to his continued success in Berlin!- 12.19.2013

What is the best, general purpose counterbalancing algorithm for experiment designs?- 4.30.2014 (David)

On the identifiability of parameters in reinforcement learning models: a simulation study. - 10.21.2013 (David)

unnamed former student (john mcdonnell) solves big problems using behavioral data and math.- 8.12.2014 (Todd)

Interested in online data collection? Help us help you! Fill out quick survey on your needs/interests. Please share!- 3.14.2014 (Todd)

Sunny sunday hack: custom programmable slide decks.- 9.22.2013 (Todd)

Check out this short movie trailer for the "Robots, Brains, and the Human Mind" course at NYU.- 5.23.2013 (Todd)

Richard Feynman on the value of incremental science and the dangers of "Cargo Cult Science" - 3.26.2013 (Todd)

Amazon's Mechanical Turk (AMT) now has a official blog that publishes information relevant to academic researchers (e.g., how to improve data quality). (RT experimentalturk)- 9.5.2012 (Todd)

Software to watch: the Julia Language. A high-level, high-performance dynamic programming language for technical computing. (via Nathaniel Daw)- 7.15.2012 (Todd)

Interview with the lead developer of OpenSesame a graphic Python-based system for designing psychology experiments.- 7.12.2012 (Todd)

Great (older) article in Scientific American on the science of scientific writing.- 3.20.2012 (Todd)

Online data collection survey results

Recently we sent out a short survey to gauge behavioral researchers' interest in online data collection and the types of tools they're looking for. We received 201 responses from the psychology, linguistics, marketing, neuroscience, and economics communities.

Read on for the complete results and some thoughts.

Announcing psiTurk 2.0!

The lab is proud to announce that we have released psiTurk 2.0, the latest version of our framework for running experiments online using Mechanical Turk. This represents a large effort in the lab featuring over 1000 commits on github from 9 contributors.

Along with the release of the software we have launch, a web service that facilitates online data collection. The website is home to extensive documentation of the psiTurk code as well as a new “experiment exchange” where you can find psiTurk-compatible experiments, download their code, and replicate or extend them for your own research purposes.

Read about the new features.

Postdoc at the intersection of cognitive development and computational cognitive science

Marjorie Rhodes and I have been awarded a grant to explore the nature of human understanding via the John Templeton Foundation (the Varieties of Understanding project). As part of this project we will be able to hire a post-doctoral researcher who will work with us to conduct the proposed studies. If this sounds like something you'd be interested in find out how to apply!

When does a rational model “fit”?

Rational models of cognition are an important theoretical tool for describing and explaining human learning, judgment, and inference. However, when does one conclude that a rational model provides a good/great/excellent fit to behavior (and therefore that people are "rational")? Read our recent thinking on this.

Live in NYC, go to grad school, & discover awesome stuff with us!

Graduate admissions are right around the corner, and my lab is looking for exceptional candidates interested in computational modeling and higher-level cognition. Read on to learn more about the lab.