Data Science in the Social and Behavioral Sciences

Virtual Opening Workshop

9:00 am – 5:00 pm Eastern Daylight Time (New York)
Dates:  January 5/11/12, 2021

Register Here

The Registration Deadline is December 28, 2020

Advances in theory, analysis, and new forms of data provide numerous opportunities that will be explored in the semester program on Data Science in the Social and Behavioral Sciences, starting with this virtual opening workshop, conducted virtually via Zoom.  In preparation for this workshop, topic experts have prepared a set of pre-recorded didactic tutorial videos that provide background relevant to the semester program.  The January workshop (January 5, 11 and 12) is organized around the following themes: (1) new forms and challenges in digital data; (2) SEMs, DAGs, and Causal Inference; and (3) networks in neuroscience, health, and information spread.  The talks will be aimed at a broader audience and will discuss research opportunities and challenges.  At the end of each day, there is time budgeted for participants to participate in preliminary discussion, formation and consolidation of possible working groups that will meet regularly during the semester program.  The SAMSI program is open to all interested researchers, faculty, and students.

Keynote Speakers:

Robert Groves (Georgetown University)

James Heckman (University of Chicago)

Confirmed Speakers:

Chris Bail (Duke University)

Jessica Cohen (University of North Carolina)

Emily Falk (University of Pennsylvania)

Diego Fregolente (SAMSI)

Krista Gile (University of Massachusetts – Amherst)

Sam Jenness (Emory)

David Lazer (Northeastern University)

Eric Kolaczyk (Boston University)

Cam McIntosh (Government of Canada)

Sarah Muldoon (University at Buffalo)

Jukka-Pekka Onnela (Harvard University)

Brea Perry (University of Indiana)

Ashton Verdery (Pennsylvania State University)


Questions: email