Making Data Work
summary
Argues that data is a perishable commodity requiring the right data at the right time and that impact comes from timely use. Proposes concrete hybrid analytic workflows that combine Big Data with small data, computational social science techniques and traditional qualitative methods to produce richer, testable insights while exposing blind spots in datasets. Frames moving from Big Data to data with depth as the immediate technical and methodological challenge to build and validate.
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