Data and Democracy

A goal of the Computational and Applied Data Sciences Initiative (CaADS) is to foster more interdisciplinary research and teaching networks on campus for faculty and students working in these areas and to encourage more engagement with all aspects of data collection and analysis through dedicated resources. As part of that effort, a call for proposals went out in the 2022-23 academic year under the theme of “Data and Democracy,” or how quantitative data and computational methods can be used to study democratic processes, information, and outcomes in both the United States and globally. The funds were available to support research or pedagogical innovation, with a preference for applications that proposed new or enhanced course content related to the theme or support collaborative faculty projects and faculty-student collaboration on research, including in research labs.

Proposals Funded

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Alisha Butler, College of Education Studies

Control of the Schools, Control of the City:
Education Policy and Politics in Washington, DC

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Joan Cho, College of East Asian Studies

Unlinking Linked Fate:
Perceived Discrimination and Racial Identity Among Asian Americans

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Logan Dancey, Government

Data, Democracy, and the 2022 Elections

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Lindsay Dolan, Government

Learning Through Data Collection in International Political Economy

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Andrea Negrete, Psychology

Return Migration:
A Pilot Study on Youths’ Identity Development and Critical Consciousness in the Context of Migration from the United States to Mexico

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Michael Perez, Psychology

Limiting Effect of Respectability Politics on Perceptions of Non-Violent Protest