Cybersecurity
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Daphne Keller is the Director of Platform Regulation at the Stanford Program in Law, Science, & Technology. Her academic, policy, and popular press writing focuses on platform regulation and Internet users'; rights in the U.S., EU, and around the world. Her recent work has focused on platform transparency, data collection for artificial intelligence, interoperability models, and “must-carry” obligations. She has testified before legislatures, courts, and regulatory bodies around the world on topics ranging from the practical realities of content moderation to copyright and data protection. She was previously Associate General Counsel for Google, where she had responsibility for the company’s web search products. She is a graduate of Yale Law School, Brown University, and Head Start.

SHORT PIECES

 

ACADEMIC PUBLICATIONS

 

POLICY PUBLICATIONS

 

FILINGS

  • U.S. Supreme Court amicus brief on behalf of Francis Fukuyama, NetChoice v. Moody (2024)
  • U.S. Supreme Court amicus brief with ACLU, Gonzalez v. Google (2023)
  • Comment to European Commission on data access under EU Digital Services Act
  • U.S. Senate testimony on platform transparency

 

PUBLICATIONS LIST

Director of Platform Regulation, Stanford Program in Law, Science & Technology (LST)
Social Science Research Scholar
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Walter A. Haas Professor in the Humanities
Professor of Comparative Literature and German Studies
Senior Fellow, Hoover Institution
Gregory Amadon Family University Fellow in Undergraduate Education
Chair of Graduate Studies, German Studies
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Professor Berman joined the Stanford faculty in 1979. In 1982-83 he was a Mellon Faculty Fellow in the Humanities at Harvard, and in 1988-89 he held an Alexander von Humboldt Fellowship in Berlin. In 1997 he was awarded the Bundesverdienstkreuz of the Federal Republic of Germany. Professor Berman is the editor of the journal Telos.

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Assistant Professor of Statistics and Electrical Engineering and (by courtesy) Computer Science
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John Duchi is an assistant professor of Statistics and Electrical Engineering and (by courtesy) Computer Science at Stanford University, with graduate degrees from UC Berkeley and undergraduate degrees from Stanford. His work focuses on large scale optimization problems arising out of statistical and machine learning problems, robustness and uncertain data problems, and information theoretic aspects of statistical learning. He has won a number of awards and fellowships, including a best paper award at the International Conference on Machine Learning, an NSF CAREER award, a Sloan Fellowship in Mathematics, and the Okawa Foundation Award.

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Senior Fellow at the Freeman Spogli Institute for International Studies
Professor of Communication
Professor, by courtesy, of Political Science and of Sociology
Stanford Affiliate at the Stanford Center on China's Economy and Institutions
Stanford Affiliate at the Tech Impact and Policy Center
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Jennifer Pan is a Professor of Communication and a Senior Fellow at the Freeman Spogli Institute at Stanford University. Her research focuses on political communication and authoritarian politics. Pan uses experimental and computational methods with large-scale datasets on political activity in China and other authoritarian regimes to answer questions about how autocrats perpetuate their rule. How political censorship, propaganda, and information manipulation work in the digital age. How preferences and behaviors are shaped as a result.

Her book, Welfare for Autocrats: How Social Assistance in China Cares for its Rulers (Oxford, 2020) shows how China's pursuit of political order transformed the country’s main social assistance program, Dibao, for repressive purposes. Her work has appeared in peer reviewed publications such as the American Political Science Review, American Journal of Political Science, Comparative Political Studies, Journal of Politics, and Science.

She graduated from Princeton University, summa cum laude, and received her Ph.D. from Harvard University’s Department of Government.

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Ashish Goel is a Professor of Management Science and Engineering and (by courtesy) Computer Science at Stanford University, and a member of Stanford's Institute for Computational and Mathematical Engineering. He received his PhD in Computer Science from Stanford in 1999, and was an Assistant Professor of Computer Science at the University of Southern California from 1999 to 2002. His research interests lie in the design, analysis, and applications of algorithms; current application areas of interest include social networks, participatory democracy, Internet commerce, and large scale data processing. Professor Goel is a recipient of an Alfred P. Sloan faculty fellowship (2004-06), a Terman faculty fellowship from Stanford, an NSF Career Award (2002-07), and a Rajeev Motwani mentorship award (2010). He was a co-author on the paper that won the best paper award at WWW 2009, and an Edelman Laureate in 2014. Professor Goel was a research fellow and technical advisor at Twitter, Inc. from July 2009 to Aug 2014.
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Paul C. Edwards Professor of Communication
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Byron Reeves received a B.F.A. in graphic design from Southern Methodist University and his M.A. and a Ph.D. in communication from Michigan State University. Prior to joining Stanford in 1985, he taught at the University of Wisconsin where he was director of graduate studies and associate chair of the Mass Communication Research Center. He teaches courses in mass communication theory and research, with particular emphasis on psychological processing of interactive media. His research includes message processing, social cognition, and social and emotion responses to media, and has been published in books of collected studies as well as such journals as Human Communication Research, Journal of Social Issues, Journal of Broadcasting, and Journalism Quarterly. He is co-author of The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places (Cambridge University Press).

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Associate Professor of Sociology (by courtesy)
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Stevens is an organizational sociologist with longstanding interests in the quantification of educational processes, alternative educational forms, and the formal organization of knowledge.

Director, Scandinavian Consortium for Organizational Research and Director, Center for Advanced Research through Online Learning
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Professor, East Asian Languages and Cultures
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Research areas include traditional Chinese poetry, aesthetics, literary culture, social history, storytelling, and the relations between the literary and visual arts. Current project include a study of Hong Mai's *Yijian zhi* (12th c.), a translation of the complete poetry and prose of Li Qingzhao, and inscriptions of Tang poetry on paintings of the Ming-Qing period.

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Associate Professor of Medicine (Biomedical Informatics Research) and of Biomedical Data Science
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Dr. Nigam Shah is associate professor of Medicine (Biomedical Informatics) at Stanford University, Assistant Director of the Center for Biomedical Informatics Research, and a core member of the Biomedical Informatics Graduate Program. Dr. Shah's research focuses on combining machine learning and prior knowledge in medical ontologies to enable use cases of the learning health system.

Dr. Shah received the AMIA New Investigator Award for 2013 and the Stanford Biosciences Faculty Teaching Award for outstanding teaching in his graduate class on “Data driven medicine”. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and is inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.

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