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Session Submission Type: Paper Session 100min
Social theory has a productive but uneasy relationship with the data sources of its time. Theorists often of necessity go "beyond the data" as they make their arguments, but fruitful periods of theoretical innovation tend to coincide with the development of new tools for collecting and analyzing data. This session will explore the practical relationship between theory and data, with a focus on the challenges and opportunities facing social theory in an era often characterized by the scale, scope, and social character of data.
Data (and) Science(s): The Double Movement of Continuity and Experimentation in Knowledge Production - Philipp Soeren Brandt, University of Mannheim
Sociometry and Group Dynamics: Early Visions for the Quantification of Social Structure - Vincent Yung, Northwestern University
The Great Equalizer Reproduces Inequality: How the Digital Divide is a Class Power Divide - Jen Schradie, Sciences Po - Paris
Theorizing Data: A Typology of Effects - Angele Christin, Stanford University