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a blog about cognitive science

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Teaching with a Jetpack: How open source teaching materials changed the way I teach

In 2015 while on sabbatical in Berkeley, CA, I stopped by a small book store came across this interesting looking booklet titled “Education Automation, Freeing the Scholar to Return to His Studies” by Buckminster Fuller. The cover was attractive (as is the concept of “freeing the scholar to return to his studies”) and so I went home and read the...

Postdoc Position on Task Representation in Virtual Reality

The Center for Data Science at New York University is looking to fill a fully-funded postdoctoral position to work on computational principles of task representation in virtual reality (VR). The project is part of a multi-lab effort to build goal representation and inference models for human-machine collaboration. The position will be primarily supervised...

Conference Highlights – NAACL 2018

After almost a week of jazz, jambalaya, and computational linguistics, Pam and Anselm returned from New Orleans for the NAACL-HLT conference. The main conference event for us was the Tuesday workshop on Building Educational Applications. At the workshop, we presented our contribution to Duolingo’s second-language acquisition modeling (SLAM) shared task....

Join us for a PhD!

Graduate admissions are right around the corner, and my lab is looking for exceptional candidates interested in computational modeling and higher-level cognition. You can learn about about the lab by viewing this blog or our lab website. A list of recent papers is also available here. About Us We are interested in unlocking the secrets of human...

Conference Highlights – Cognitive Computational Neuroscience 2017

Last week, the 2017 Cognitive Computational Neuroscience conference was held at Columbia University. The meeting was studded with star speakers, and contained a mix of cognitive, brain-based, and machine learning talks throughout each day. From the outside, the conference looked like a meeting of researchers using roughly similar techniques and methods...

Introducing the OMNI Project: Optimizing Memory using Neural Information

The lab is excited to announce the OMNI (Optimizing Memory using Neural Information) project, a new endeavor aimed at leveraging both behavioral and neural data to develop a system that improves how people learn and retain new information. OMNI is supported by a National Science Foundation grant to Todd Gureckis (PI) and Lila Davachi (co-PI). Why...

Joint Open-Rank Search in Psychology/Data Science

The Department of Psychology and the Center for Data Science (CDS) at New York University invite applications for an open rank tenure-track faculty position. The position is to be shared between the two departments. The anticipated start date is September 1, 2017, pending budgetary and administrative approval. QUALIFICATIONS Successful applicants...

Translating Cognitive Science to EdTech: Searching for Impact

I’m a post-doc in the Gureckis lab working on translating some of the ideas in cognitive science in educationally-relevant directions. I’ve always felt it is a shame that despite thousands of studies on learning and memory most cognitive psychology findings are not translated or absorbed into educational practice (I’m not alone in this). In this post,...

Lab affiliate Brenden Lake published paper in Science, covered in NYTimes

Brenden Lake in Science and the NYTimes (among other outlets).

Decision-making Faculty Job @ NYU

The Psychology Department in the Faculty of Arts and Science at New York University invites applications for a tenure-track assistant professor position in decision-making, neuroeconomics, and/or reinforcement learning. The appointment is expected to begin September 1, 2016, pending budgetary and administrative approval. We seek applicants with an...

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