134 - Policy and Research Workshop. Big Data for Social Science Research: Theoretical Framing, Analytical Techniques and Emerging Research Standards

Session Submission Type: Workshop

Description

The Sociology Program at the National Science Foundation (NSF) supports large-scale data infrastructure projects and basic research projects to construct and analyze “big data,” and develop new methods and theoretical frameworks by which it can be used in basic research. This session focuses on the research context, trade-offs, limitations, and promises of “big data” for basic social science research. Representatives from the NSF Sociology Program, and Principle Investigators (PIs) on NSF-funded big data projects will describe data accessibility and availability, analytical techniques and tools, conceptualization and theoretical framing, and major research findings from funded research. The session is interactive; audience participation is encouraged.

Sub Unit

• Policy and Research Workshop

Session Organizer

• Patricia E. White, National Science Foundation

Leader

• R. Saylor Breckenridge, Wake Forest University

Co-Leaders

• Julia Potter Adams, Yale University

• Hannah Brueckner, New York University - Abu Dhabi Campus

• David B. Grusky, Stanford University

• Paolo Parigi, Stanford Univerity