Quantitatively measuring U.S. legislative district compactness using survey methods and machine learning models.

Aaron Kaufman, PhD candidate at Harvard University's Department of Government and the Institute for Quantitative Social Science, discusses using survey methods and machine learning models to quantitatively measure U.S. legislative district compactness, including what legislative district compac...

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Bibliographic Details

Other Authors:	Kaufman, Aaron (Academic.)
Format:	Video
Language:	English
Language Notes:	Closed-captions in English.
Published:	London : SAGE Publications Ltd, 2019.
Subjects:	Quantitative research. Legislators > United States. Social surveys. Machine learning. Recherche quantitative. Parlementaires > États-Unis. Enquêtes sociales. Apprentissage automatique. members of Congress. Legislators Machine learning Quantitative research Social surveys United States
Online Access:	Connect to this streaming video