The Frontier of Statistics and the Social Science: Celebrating 25 Years of CS&SS

Abstract Number:

1218 

Submission Type:

Invited Paper Session 

Participants:

Tyler McCormick (1), Elena Erosheva (1), Christopher Adolph (1), Avi Feller (2), Dean Eckles (3), Tian Zheng (4), Brandon Steward (5), Elizaveta Levina (6)

Institutions:

(1) University of Washington, N/A, (2) UC Berkeley, N/A, (3) MIT, N/A, (4) Columbia University, N/A, (5) Princeton, N/A, (6) University of Michigan, N/A

Chair:

Christopher Adolph  
University of Washington

Discussant:

Elena Erosheva  
University of Washington

Session Organizer:

Tyler McCormick  
University of Washington

Speaker(s):

Avi Feller  
UC Berkeley
Dean Eckles  
MIT
Tian Zheng  
Columbia University
Brandon Stewart  
Princeton
Elizaveta Levina  
University of Michigan

Session Description:

The intersection of statistics and the social sciences is now a flourishing area of research, with complex statistical problems impacting problems and policy in the areas of economic inequality, social determinants of health, and social networks, among many (many) other topic. This session brings together five dynamic speakers working at the frontier of both methodological and application-focused work in social sciences. The session is organized to celebrate the 25th anniversary of the Center for Statistics and the Social Sciences (CS&SS) at the University of Washington, a "local" institution for JSM 2024 in Portland. The session will increase exposure among JSM attendees to open, cutting-edge problems in social science research.

A list of confirmed speakers is below. All speakers have confirmed they are not part of other invited session proposals.

Liza Levina (Michigan)
Interpretation and Inference for Prediction on Networks

Avi Feller (UC-Berkeley)
Estimating racial disparities in emergency general surgery

Brandon Steward (Princeton)
Using Imperfect Surrogates for Downstream Inference: Design-based Semi-supervised Learning for Social Science Applications of Large Language Models

Tian Zheng (Columbia)
A Bayesian Information Synthesis Framework for Opioid Use Disorder Prevalence Estimation

Dean Eckles (MIT)
Tendencies toward triadic closure: Field-experimental evidence

Sponsors:

American Sociological Association 3
Business and Economic Statistics Section 2
Social Statistics Section 1

Theme: Statistics and Data Science: Informing Policy and Countering Misinformation

Yes

Applied

Yes

Estimated Audience Size

Medium (80-150)

I have read and understand that JSM participants must abide by the Participant Guidelines.

Yes

I understand and have communicated to my proposed speakers that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is nonrefundable.

I understand