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Presented by Justin Grimmer, Professor, Department of Political Science, Stanford University

This two-day workshop introduced techniques to collect, analyze, and utilize large collections of text for social science inferences. The ultimate goal was to introduce participants to modern quantitative text analysis techniques and provide the skills necessary to apply the methods in their own research. Students also learned about core concepts in machine learning and statistics, developing skills that are transferable to other types of data and inference problems.