November 14, 2023
Hoover Institution | Stanford University
Anjali Adukia, Alex Eble, Emileigh Harrison, Hakizumwami Birali Runesha, and Teodora Szasz speaking on What We Teach about Race and Gender.
The Hoover Institution hosts a seminar series on Using Text as Data in Policy Analysis, co-organized by Steven J. Davis and Justin Grimmer. These seminars will feature applications of natural language processing, structured human readings, and machine learning methods to text as data to examine policy issues in economics, history, national security, political science, and other fields.
Our 20th meeting features a conversation with Anjali Adukia, Alex Eble, Emileigh Harrison, Hakizumwami Birali Runesha, and Teodora Szasz on What We Teach about Race and Gender on Tuesday, November 14, 2023 from 9:00AM – 10:30AM PT.
Anjali Adukia is an assistant professor at the University of Chicago Harris School of Public Policy and the College and the director of the MiiE Lab (Messages, Identity, and Inclusion in Education). In her work, she is interested in understanding how to reduce inequalities such that children from historically disadvantaged backgrounds have equal opportunities to fully develop their potential.
Alex Eble is Associate Professor of Economics and Education at Columbia’s graduate school of education, Teachers College. His research focuses primarily on two key themes: the economics of education in low-income contexts, and the economics of beliefs and information applied to education and inequality.
Emileigh Harrison is a PhD candidate studying Public Policy at the University of Chicago. Her research focuses on understanding barriers to education (such as financial constraints or beliefs about academic abilities shaped by representation) and the role that education policy can play in eliminating them.
Hakizumwami Birali Runesha is the Associate Vice President for Research Computing and founding Director of the Research Computing Center (RCC) at The University of Chicago. He is the former Director of Scientific Computing and Applications at the University of Minnesota Supercomputing Institute, Research Associate at the Hong Kong University of Science and Technology and Assistant Professor in the Civil Engineering Department at the University of Kinshasa. Dr Runesha has more than 28 years of experience in high performance computing, data science and scientific software development.
Teodora Szasz is an Innovation Director at Philips, managing innovation projects (such as AI-based diagnosis of cardiac diseases) between Philips and UChicago Medicine.
Steven Davis is the Thomas W. And Susan B. Ford Senior Fellow at the Hoover Institution and professor of economics at the University of Chicago Booth School of Business. He studies business dynamics, labor markets, and public policy. He advises the U.S. Congressional Budget Office and the Federal Reserve Bank of Atlanta, co-organizes the Asian Monetary Policy Forum and is co-creator of the Economic Policy Uncertainty Indices, the Survey of Business Uncertainty, and the Survey of Working Arrangements and Attitudes.
Justin Grimmer is a senior fellow at the Hoover Institution and a professor in the Department of Political Science at Stanford University. His current research focuses on American political institutions, elections, and developing new machine-learning methods for the study of politics.
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