Professor in Political Science and Computer and Information Science

David Lazer

Matching Data and Interpretation: Towards a Rosetta Stone Joining Behavioral and Survey Data

Peer Reviewed Computer Science Conference
Publication date: 
04/2017
Authors: 
Drew B. Margolin
Yu-Ru Lin
Devon Brewer
David Lazer
Matching Data and Interpretation: Towards a Rosetta Stone Joining Behavioral and Survey Data

This position paper argues for the establishment of a "Rosetta Stone" that maps behavioral signatures of population behavior to meaningful social categories. We propose a method for accomplishing this through the deployment of behavioral tracking combined with survey questionnaires. The goal is to identify salient patterns of behavioral activity and ask subjects to "explain" these patterns through their survey responses. As a case study, we provide analyses regarding calling patterns related to emergencies, such as bombings and hurricanes.

Research Areas TOC

Computational Social Science, Collective Cognition

Computational Social Science, 21st Century Democracy, Political Networks

Computational Social Science, Political Networks

DNA and the Criminal Justice System

21st Century Democracy, Political Networks