Five problems—and solutions—to make it actually work as a tool of great power competition.
Afreen Akhter
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Data generated testing using innovative methodology is changing the approach to policy research in the public sector.
Source: IDFC Institute
In a conversation with Dr. Angela Hawken, Founder and Director of BetaGov and Public Policy Professor NYU Marron Institute of Urban Management, Carnegie’s Milan Vaishnav discusses BetaGov’s scientific approach to policy research. Using pracademics, Hawken’s says that government sectors are experimenting with data testing and innovative initiatives to promote more efficiencies in the public sector and become part of the solution for government agencies around the world.
Director and Senior Fellow, South Asia Program
Milan Vaishnav is a senior fellow and director of the South Asia Program and the host of the Grand Tamasha podcast at the Carnegie Endowment for International Peace. His primary research focus is the political economy of India, and he examines issues such as corruption and governance, state capacity, distributive politics, and electoral behavior. He also conducts research on the Indian diaspora.
Angela Hawken
Angela Hawken, Ph.D., is a Professor of Public Policy at the NYU Marron Institute of Urban Management. She is the founder and director of BetaGov, a resource center for practitioner-led trials that provides tools to develop and conduct experimental tests of practices and policies in order to increase the pace of innovation in criminal-justice and other policy areas.
Carnegie does not take institutional positions on public policy issues; the views represented herein are those of the author(s) and do not necessarily reflect the views of Carnegie, its staff, or its trustees.
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