How COVID-19 will shape the 2020 election

Henry E. Brady is the Class of 1941 Monroe Deutsch Professor of Political Science and Public Policy in the Goldman School of Public Policy  at the University of California, Berkeley. He served as dean of the Goldman School from 2009-2021. He received his PhD in economics and political science from MIT. He has written on electoral politics, political participation, social welfare policy, political polling, and statistical methodology. He has worked for the federal Office of Management and Budget and other organizations in Washington, DC. He was elected as a fellow of the American Academy of Arts & Sciences in 2003 and as a fellow of the American Association for the Advancement of Science in 2006. He is the co-author of The Unheavenly Chorus: Unequal Political Voice and the Broken Promise of American Democracy and Unequal and Unrepresented:  Political Inequality and the People's Voice in the New Gilded Age, Letting the People Decide: Dynamics of a Canadian Election (1992), Voice and Equality: Civic Voluntarism in American Politics (1995), Expensive Children in Poor Families: The Intersection of Childhood Disability and Welfare (2000); and Counting All the Votes: The Performance of Voting Technology in the United States (2001). 

Philip B. Stark's research centers on inference (inverse) problems and uncertainty quantification, especially confidence procedures tailored for specific goals. Applications include causal inference, the U.S. Census, climate modeling, cosmology, earthquake prediction and seismic hazard analysis, election auditing, endangered species, epidemiology, evaluating and improving teaching and educational technology, food web models, health effects of sodium, the geomagnetic field, geriatric hearing loss, information retrieval, Internet content filters, litigation, resilient and sustainable food systems, risk assessment (including natural disasters and food safety), the seismic structure of Sun and Earth, spectroscopy, spectrum estimation, and uncertainty quantification for computational models of complex systems. Methods he has developed for auditing elections have been incorporated into laws in California, Colorado, and Rhode Island, Texas, Virginia, and Washington. Methods for data reduction and spectrum estimation that he has developed or co-developed are part of the Øersted geomagnetic satellite data pipeline and the Global Oscillations Network Group (GONG) helioseismic telescope network data pipeline.