CogSci 2020

Due to COVID-19 the 42nd Annual Virtual Meeting of the Cognitive Science Society was offerred virtually as The CogSci 2020 Virtual Meeting. It adhered to the traditional format, and featured all planned keynote talks and invited panels. In addition, we were delighted to feature the inaugural Elman Symposium to honor this year’s Elman Prize winner Jenny Saffran, the Glushko Symposium featuring this year’s dissertation winners, as well as the Rumelhart keynote by Stanislas Dehaene. The Virtual Meeting featured Regular talks (15 minute talk) as well as Posters (5 minute talk accompanying poster). Talks and posters were streamed in real-time with live Q&A where possible. 

Co-Chairs

Program

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2020 Conference Awards

Marr Prize

 Anjali Sifar, Indian Institute of Technology
Limits on Predictability of Risky Choice Behavior

COMPUTATIONAL MODELING PRIZES

APPLIED COGNITION
Lauren A Oey, University of California
Isabella DeStefano, University of California
Formalizing Interdisciplinary Collaboration in the CogSci Community

HIGHER-LEVEL COGNITION
Sarah A. Wu, MIT
Rose E. Wang, MIT
Too many cooks: Coordinating multi-agent collaboration through inverse planning

LANGUAGE
Robert Hawkins,  Princeton University
Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks

PERCEPTION & ACTION
Ruomeng Zhu, The University of Edinburgh
Synchrony and asynchrony of the two eyes in binocular fixations in the reading of English and Chinese; the implications for ocular prevalence

SAYAN GUL AWARD

Chelsea Campbell, Indiana University
How much to copy from others? The role of partial copying in social learning

DIVERSITY & INCLUSION TRAVEL AWARDS

There were no travel awards due to this being a Virtual Conference

Student Travel Grants

There were no travel awards due to this being a Virtual Conference

Sponsors and Exhibitors

The Cognitive Science Society is pleased to announce the establishment of the CogSci Grove which aims to mobilise cognitive scientists to offset carbon emissions associated with their professional activities.

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