Election Integrity and Security

Jennifer Chayes is the Associate Provost of the Division of Computing, Data Science, and Society, and the Dean of the School of Information at UC Berkeley. She is a professor in the departments of EECS, Mathematics, Statistics, and the School of Information. Before joining Berkeley, she was a Technical Fellow at Microsoft, where she was the founder and managing director of interdisciplinary Microsoft Research labs in New England, New York City, and Montreal. Chayes has received numerous awards for both leadership and scientific contributions, including the Anita Borg Institute Women of Vision Leadership Award, the John von Neumann Award of the Society for Industrial and Applied Mathematics, and an honorary doctorate from Leiden University. She is a member of the American Academy of Arts and Sciences and the National Academy of Sciences. Chayes’ research areas include phase transitions in computer science and structural and dynamical properties of networks including modeling and graph algorithms. Chayes is one of the inventors of the field of graphons, which are widely used for the machine learning of large-scale networks. Her recent work focuses on machine learning, including both theory and applications in cancer immunotherapy, ethical decision making, and climate change.

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). 

Susan Hyde is a Professor of Political Science and interim co-director of the Institute of International Studies at UC Berkeley. She is an expert on international election observation, election fraud, and democracy promotion. She has served as an international election observer all over the world, and she has worked with the Carter Center, the National Democratic Institute, Democracy International, the International Republican Institute, and the International Foundation for Electoral Systems on democracy promotion issues and researching how democracy promoting organizations can evaluate the effects of their work. In cooperation with the Carter Center, she has piloted methods for introducing the random assignment of short term election observers to the deployment plans used by international observers. At Yale, she is a resident fellow at the Institution for Social and Policy Studies (ISPS), and is a faculty affiliate of the MacMillan Center and the Jackson Institute for Global Affairs. She earned her Ph.D. from the University of California, San Diego, in 2006.

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.