DATES: May 15th-19th, 2023
LOCATION: The Harvard University Campus, Cambridge, MA. Note, the workshop will be held in person.
INTENDED AUDIENCE: The workshop is intended for trainees (PhD, Postdocs, Masters/Lab Managers pursuing PhDs) with a strong background in Cognitive Development and the Learning Sciences but with novice and beginner level modeling experience. We may consider early career faculty positions in rare cases. We especially encourage applications from students identifying as individuals from under-represented groups.
HOW TO APPLY: People interested in attending the workshop can apply using the link here. Applications received by March 15th will receive full consideration.
COVID-19 INFORMATION: Please note, attendees are expected to follow current Harvard protocol regarding vaccination and in-person visits. [Current Covid Policy]
COST: The workshop is free for all attendees. However, attendees are expected to fund their accommodation and travel. Some funding may be available to cover travel for eligible students identifying as belonging to under-represented groups.
In this course, students will develop an understanding of computational methods that can facilitate a deeper exploration of learning and development. Students will develop connections between state-of-the-art methods in machine learning, computer science, statistics, and accounts of psychological behavior, specifically cognitive models of learning and development. By the end of the course, students will have acquired applied knowledge to further develop new computational models, and analysis methods for studying questions in learning and cognitive development.
Elizabeth Spelke
Harvard University
Josh Tenenbaum
MIT
Sam Gershman
Harvard University
Steve Piantadosi
University of California, Berkeley
Colin Conwell
Harvard University
Kevin Smith
MIT
Halely Balaban
MIT & Harvard University
Ilona Bass
Harvard University
Peng Qian
MIT & Harvard University
Rosie Aboody
Harvard University & MIT
Joseph Colantonio
Harvard University
Harvard University
Rutgers University - Newark
Harvard University
Support: This workshop is possible thank to the generous support of the William K. and Katherine W. Estes Fund advanced training program through the Association for Psychological Science and the Psychonomic Society,