1152 - "Big Data" and Mixed Methods Research

Session Submission Type: Invited Session

Description

This panel discusses the role of methodological diversity at a time when “big data” and computational social science revolutionize many aspects of social science research. What is the place of qualitative data and methods when digital traces and large-scale administrative data track our every step? The surprising answer is that in the era of big data, qualitative research is more, not less important.

Sub Unit

• Special Session

Session Organizer

• Joscha Legewie, Harvard University

Presider

• Elizabeth Bruch, University of Michigan

Individual Presentations

• Qualitative Methods as Indispensable to Big Data Research - Mario Luis Small, Harvard University

• Policed: Surveillance and Prediction in the Age of Big Data - Sarah Brayne, University of Texas at Austin

• Prediction in the Service of Explanation - Matthew J. Salganik, Princeton University