Institute for Human-Centered Artificial Intelligence (HAI)
Showing 51-100 of 244 Results
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Mark Duggan
Trione Director of SIEPR, Wayne and Jodi Cooperman Professor and Senior Fellow at the Stanford Institute for Economic Policy Research
BioMark Duggan is a Professor of Economics at Stanford University and a Research Associate at the National Bureau of Economic Research. He received his B.S. and M.S. degrees in Electrical Engineering at M.I.T. in 1992 and 1994, respectively, and his Ph.D. in Economics from Harvard University in 1999. He currently is a Co-Editor at the American Economic Journal: Economic Policy and was previously a Co-Editor at the Journal of Public Economics. Before arriving to Stanford in the summer of 2014, Duggan served on the faculty at the University of Pennsylvania's Wharton School (2011-14), the University of Maryland's Economics Department (2003-11), and the University of Chicago's Economics Department (1999-2003).
Professor Duggan's research focuses primarily on the effect of government expenditure programs such as Social Security, Medicare, and Medicaid on the behavior of individuals and firms. Some of his more recent research is exploring the effect of federal disability programs on the labor market and of changes to the Medicare and Medicaid programs on the cost and quality of health care. He is also estimating the effect of patent reforms in India on the price and utilization of pharmaceutical treatments. His research has been published in leading academic journals including the American Economic Review, the Journal of Political Economy, and the Quarterly Journal of Economics and has been featured in outlets such as The Economist, the New York Times, and the Wall Street Journal.
Professor Duggan was the 2010 recipient of the ASHEcon Medal, which is awarded every two years by the American Society of Health Economists to the economist aged 40 and under in the U.S. who has made the most significant contributions to the field of health economics. Along with his co-author Fiona Scott Morton, he received the National Institute for Health Care Management's 2011 Health Care Research Award for their work on Medicare Part D. He was a Fellow of the Alfred P. Sloan Foundation from 2004 to 2006 and a Visiting Fellow at the Brookings Institution from 2006 to 2007. His research has been funded by the National Science Foundation, the National Institutes of Health, the Social Security Administration, and the Robert Wood Johnson Foundation. Duggan served from 2009 to 2010 as the Senior Economist for Health Care Policy at the White House Council of Economic Advisers and has also been an Expert Witness for the U.S. Department of Justice. -
Rob Dunbar
W.M. Keck Professor in the School of Earth Sciences, Professor of Oceans, of Earth System Science and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsOcean processes, biogeochemistry, climatology/paleoclimatology, isotopic chemistry, ocean policy
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Jennifer Eberhardt
Morris M. Doyle Centennial Professor of Public Policy, William R. Kimball Professor at the Graduate School of Business, Professor of Psychology and by courtesy, of Law
Current Research and Scholarly InterestsMy research is on race and inequality. I am especially interested in examining race and inequality in the criminal justice context. My most recent research focuses on how the association of African Americans with crime might matter at different points in the criminal justice system and how this association can affect us in surprising ways.
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Stefano Ermon
Associate Professor of Computer Science and Senior Fellow at the Woods Institute for the Environment
BioI am an Assistant Professor in the Department of Computer Science at Stanford University, where I am affiliated with the Artificial Intelligence Laboratory and a fellow of the Woods Institute for the Environment.
My research is centered on techniques for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization, and robust decision making under uncertainty, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability. -
Loredana Fattorini
Research Associate, Institute for Human-Centered Artificial Intelligence (HAI)
BioLoredana is a Research Associate at Stanford's Institute for Human-Centered Artificial Intelligence (HAI), where she is a member of the AI Index team. She is primarily involved in preparing the AI Index annual report and developing the Global AI Vibrancy tool. Using data analysis techniques, Loredana helps make complex information regarding the rapidly evolving AI landscape more accessible and understandable for policymakers, industry leaders, researchers, and the general public.
With a Ph.D. in Applied Economics from the IMT School for Advanced Studies Lucca, Italy, Loredana has conducted empirical research in the fields of Industrial Organization and International Trade. She also holds both Bachelor's and Master's degrees with honors in Economics from the University of Pisa and Scuola Superiore Sant'Anna, Italy.
Before joining HAI, Loredana worked as a Visiting Researcher at the Vienna Institute for International Economic Studies (WiiW). Her research focused on the competitiveness of firms in Europe, as part of a project funded by the Austrian National Bank. Additionally, she worked as a Data Analyst for a fast-growing eCommerce startup that managed online sales for Europe's largest food retail cooperative. -
Chelsea Finn
Assistant Professor of Computer Science and of Electrical Engineering
BioChelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University, and the William George and Ida Mary Hoover Faculty Fellow. Professor Finn's research interests lie in the ability to enable robots and other agents to develop broadly intelligent behavior through learning and interaction. Her work lies at the intersection of machine learning and robotic control, including topics such as end-to-end learning of visual perception and robotic manipulation skills, deep reinforcement learning of general skills from autonomously collected experience, and meta-learning algorithms that can enable fast learning of new concepts and behaviors. Professor Finn received her Bachelors degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley. Her research has been recognized through the ACM doctoral dissertation award, an NSF graduate fellowship, a Facebook fellowship, the C.V. Ramamoorthy Distinguished Research Award, and the MIT Technology Review 35 under 35 Award, and her work has been covered by various media outlets, including the New York Times, Wired, and Bloomberg. Throughout her career, she has sought to increase the representation of underrepresented minorities within CS and AI by developing an AI outreach camp at Berkeley for underprivileged high school students, a mentoring program for underrepresented undergraduates across three universities, and leading efforts within the WiML and Berkeley WiCSE communities of women researchers.
Website: https://ai.stanford.edu/~cbfinn -
James Fishkin
Janet M. Peck Professor of International Communication, Senior Fellow at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Political Science
BioJames S. Fishkin holds the Janet M. Peck Chair in International Communication at Stanford University where he is Professor of Communication, Professor of Political Science (by courtesy) and Director of the Center for Deliberative Democracy.
He received his B.A. from Yale in 1970 and holds a Ph.D. in Political Science from Yale as well as a second Ph.D. in Philosophy from Cambridge.
He is the author of Democracy When the People Are Thinking (Oxford 2018), When the People Speak (Oxford 2009), Deliberation Day (Yale 2004 with Bruce Ackerman) and Democracy and Deliberation (Yale 1991).
He is best known for developing Deliberative Polling® – a practice of public consultation that employs random samples of the citizenry to explore how opinions would change if they were more informed. His work on deliberative democracy has stimulated more than 100 Deliberative Polls in 28 countries around the world. It has been used to help governments and policy makers make important decisions in Texas, China, Mongolia, Japan, Macau, South Korea, Bulgaria, Brazil, Uganda and other countries around the world.
He is a Fellow of the American Academy of Arts and Sciences, a Guggenheim Fellow, a Fellow of the Center for Advanced Study in the Behavioral Sciences at Stanford, and a Visiting Fellow Commoner at Trinity College, Cambridge. -
Sean Follmer
Assistant Professor of Mechanical Engineering
Current Research and Scholarly InterestsHuman Computer Interaction, Haptics, Robotics, Human Centered Design
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Michael Frank
David and Lucile Packard Foundation Professor of Human Biology and Professor, by courtesy, of Linguistics
Current Research and Scholarly InterestsHow do we learn to communicate using language? I study children's language learning and how it interacts with their developing understanding of the social world. I use behavioral experiments, computational tools, and novel measurement methods like large-scale web-based studies, eye-tracking, and head-mounted cameras.
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Takako Fujioka
Associate Professor of Music
BioResearch topics include neural oscillations for auditory perception, auditory-motor coupling, brain plasticity in development and aging, and recovery from stroke with music-supported therapy.
Her post-doctoral and research-associate work at Rotman Research Institute in Toronto was supported by awards from the Canadian Institutes of Health Research. Her research continues to explore the biological nature of human musical ability by examining brain activities with non-invasive human neurophysiological measures such as magnetoencephalography (MEG) and electroencephalography (EEG). -
Francis Fukuyama
Olivier & Nomellini Senior Fellow in International Studies at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Political Science
Current Research and Scholarly InterestsDeveloping nations; governance; international political economy; nation-building and democratization; strategic and security issues
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Surya Ganguli
Associate Professor of Applied Physics and, by courtesy, of Neurobiology and of Electrical Engineering
Current Research and Scholarly InterestsTheoretical / computational neuroscience
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Justin Gardner
Associate Professor of Psychology
Current Research and Scholarly InterestsHow does neural activity in the human cortex create our sense of visual perception? We use a combination of functional magnetic resonance imaging, computational modeling and analysis, and psychophysical measurements to link human perception to cortical brain activity.
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Michael Genesereth
Associate Professor of Computer Science and, by courtesy, of Law
BioGenesereth is most known for his work on Computational Logic and applications of that work in Enterprise Management, Computational Law, and General Game Playing. He is one of the founders of Teknowledge, CommerceNet, Mergent Systems, and Symbium. Genesereth is the director of the Logic Group at Stanford and the founder and research director of CodeX - the Stanford Center for Legal Informatics.
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Michael Gensheimer
Clinical Associate Professor, Radiation Oncology - Radiation Therapy
Current Research and Scholarly InterestsIn addition to my clinical research in head and neck and lung cancer, I work on the application of computer science and machine learning to cancer research. I develop tools for analyzing large datasets to improve outcomes and safety of cancer treatment. I developed a machine learning prognostic model using data from around 13,000 patients with metastatic cancer which performs better than traditional models and physicians [PubMed ID 33313792]. We recently completed a prospective randomized study in thousands of patients in which the model was used to help improve advance care planning conversations.
I also work on the methods underpinning observational and predictive modeling research. My open source nnet-survival software that allows use of neural networks for survival modeling has been used by researchers internationally. In collaboration with the Stanford Research Informatics Center, I examined how electronic medical record (EMR) survival outcome data compares to gold-standard data from a cancer registry [PubMed ID 35802836]. The EMR data captured less than 50% of deaths, a finding that affects many studies being published that use EMR outcomes data. -
Ashish Goel
Professor of Management Science and Engineering and, by courtesy, of Computer Science
BioAshish Goel is a Professor of Management Science and Engineering and (by courtesy) Computer Science at Stanford University. 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.
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Henry T. (Hank) Greely
Deane F. and Kate Edelman Johnson Professor of Law and, Professor, by courtesy, of Genetics
Current Research and Scholarly InterestsSince 1992 my work has concentrated on ethical, legal, and social issues in the biosciences. I am particularly active on issues arising from neuroscience, human genetics, and stem cell research, with cross-cutting interests in human research protections, human biological enhancement, and the future of human reproduction.
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David Grusky
Edward Ames Edmonds Professor of Economics and Senior Fellow at the Stanford Institute for Economic Policy Research
BioDavid B. Grusky is Barbara Kimball Browning Professor in the School of Humanities and Sciences, Director of the Stanford Center on Poverty and Inequality, and coeditor of Pathways Magazine. His research addresses the changing structure of late-industrial inequality and addresses such topics as (a) the role of rent-seeking and market failure in explaining the takeoff in income inequality, (b) the amount of economic and social mobility in the U.S. and other high-inequality countries (with a particular focus on the “Great Gatsby” hypothesis that opportunities for social mobility are declining), (c) the role of essentialism in explaining the persistence of extreme gender inequality, (d) the forces behind recent changes in the amount of face-to-face and online cross-class contact, and (e) the putative decline of big social classes. He is also involved in projects to improve the country’s infrastructure for monitoring poverty, inequality, and mobility by exploiting administrative and other forms of “big data” more aggressively. His recent books include Social Stratification (2014), Occupy the Future (2013), The New Gilded Age (2012), The Great Recession (2011), The Inequality Reader (2011), and The Inequality Puzzle (2010).
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Leonidas Guibas
Paul Pigott Professor of Engineering and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsGeometric and topological data analysis and machine learning. Algorithms for the joint analysis of collections of images, 3D models, or trajectories. 3D reconstruction.
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Hyowon Gweon
Associate Professor of Psychology
BioHyowon (Hyo) Gweon (she/her) is an Associate Professor in the Department of Psychology. As a leader of the Social Learning Lab, Hyo is broadly interested in how humans learn from others and help others learn: What makes human social learning so powerful, smart, and distinctive? Taking an interdisciplinary approach that combines developmental, computational, and neuroimaging methods, her research aims to explain the cognitive underpinnings of distinctively human learning, communication, and prosocial behaviors.
Hyo received her PhD in Cognitive Science (2012) from MIT, where she continued as a post-doc before joining Stanford in 2014. She has been named as a Richard E. Guggenhime Faculty Scholar (2020) and a David Huntington Dean's Faculty Scholar (2019); she is a recipient of the APS Janet Spence Award for Transformative Early Career Contributions (2020), Jacobs Early Career Fellowship (2020), James S. McDonnell Scholar Award for Human Cognition (2018), APA Dissertation Award (2014), and Marr Prize (best student paper, Cognitive Science Society 2010). -
Jens Hainmueller
Kimberly Glenn Professor and Professor of Political Science
BioJens Hainmueller is the Kimberly Glenn Professor in Political Science and Director of Graduate Studies of the Department of Political Science at Stanford University. He is the Faculty Co-Director of the Stanford Immigration Policy Lab that is focused on the design and evaluation of immigration and integration policies and programs.
His research interests include immigration, statistical methods, political economy, and political behavior. He has published over 65 articles, many of them in top general science journals and top field journals in political science, statistics, economics, and business. He has also published three open source software packages and his research has received awards and funding from the Carnegie Corporation, the Russell Sage Foundation, the Robin Hood Foundation, the National Science Foundation, the Swiss SNF, the American Political Science Association, Schmidt Futures, the Society of Political Methodology, the National Bureau of Economic Research, and the Midwest Political Science Association.
Hainmueller received his PhD from Harvard University and also studied at the London School of Economics, Brown University, and the University of Tübingen. Before joining Stanford, he served on the faculty of the Massachusetts Institute of Technology. -
Eric Hanushek
Paul and Jean Hanna Senior Fellow at the Hoover Institution and Professor, by courtesy, of Education
BioEric Hanushek is the Paul and Jean Hanna Senior Fellow at the Hoover Institution of Stanford University. He has been a leader in the development of economic analysis of educational issues. His widely-cited research spans many policy-related education topics. His latest book, The Knowledge Capital of Nations: Education and the Economics of Growth, identifies the close link between the skills of the people and the economic growth of the nation. He has authored or edited 24 books along with over 250 articles. He is a Distinguished Graduate of the United States Air Force Academy and completed his Ph.D. in economics at the Massachusetts Institute of Technology. (http://hanushek.stanford.edu/)
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Gabriella M. Harari
Assistant Professor of Communication
BioGabriella Harari is an Assistant Professor in the Department of Communication at Stanford University, where she directs the Media and Personality Lab.
She studies how personality is expressed in the physical and digital contexts of everyday life. Much of her research is focused on understanding what digital technologies reveal about who we are, and how use of digital technologies shapes who we are. Her current projects analyze people’s everyday behavioral patterns (e.g., social interactions, mobility) and environmental contexts (e.g., places visited, social media platforms) to show how they are associated with individual differences in personality and well-being.
Harari takes an ecological approach to conducting her research, emphasizing the importance of studying people and their behavior in natural contexts. To that end, she conducts intensive longitudinal field studies and is interested in mobile sensing methods and analytic techniques that combine approaches from the social and computer sciences. For example, methodologies she uses in her work in include surveys, experience sampling, longitudinal modeling, mobile sensing, data mining, and machine learning.
Harari completed a Postdoctoral Fellowship and earned her PhD at the Department of Psychology at The University of Texas at Austin. She completed her BA in Psychology & Humanities from Florida International University, where she was also a Ronald E. McNair Scholar. Her work has been published in academic outlets such as Perspectives in Psychological Science, Journal of Personality and Social Psychology, and the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Her work has also been supported by the National Science Foundation and Stanford HAI Seed Grant Awards. -
Paul Richard Herz
Deputy Director, HAI, Institute for Human-Centered Artificial Intelligence (HAI)
Current Role at StanfordDeputy Director, Institute for Human-Centered AI
Responsible for coordinating HAI’s research, education, policy, partnerships, and administrative programs and activities, and will play a key role in helping to set strategy and ensure execution to achieve HAI’s mission. Excited about the opportunity to help lead HAI forward to improve society and people’s lives through the advancement and implementation of AI. -
Pamela Hinds
Professor of Management Science and Engineering
BioPamela J. Hinds is Fortinet Founders Chair and Professor of Management Science & Engineering, Co-Director of the Center on Work, Technology, and Organization and on the Director's Council for the Hasso Plattner Institute of Design. She studies the effect of technology on teams, collaboration, and innovation. Pamela has conducted extensive research on the dynamics of cross-boundary work teams, particularly those spanning national borders. She explores issues of culture, language, identity, conflict, and the role of site visits in promoting knowledge sharing and collaboration. She has published extensively on the relationship between national culture and work practices, particularly exploring how work practices or technologies created in one location are understood and employed at distant sites. Pamela also has a body of research on human-robot interaction in the work environment and the dynamics of human-robot teams. Most recently, Pamela has been looking at the changing nature of work in the face of emerging technologies, including the nature of coordination in open innovation, changes in work and organizing resulting from 3D-printing, and the work of data analysts. Her research has appeared in journals such as Organization Science, Research in Organizational Behavior, Academy of Management Journal, Academy of Management Annals, Academy of Management Discoveries, Human-Computer Interaction, Journal of Applied Psychology, Journal of Experimental Psychology: Applied, and Organizational Behavior and Human Decision Processes. Pamela is a Senior Editor of Organization Science. She is also co-editor with Sara Kiesler of the book Distributed Work (MIT Press). Pamela holds a Ph.D. in Organizational Science and Management from Carnegie Mellon University.
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Daniel Ho
William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science, Senior Fellow at the Stanford Institute for Economic Policy Research and Professor, by courtesy, of Computer Science
BioDaniel E. Ho is the William Benjamin Scott and Luna M. Scott Professor of Law at Stanford Law School, Professor of Political Science, Senior Fellow at the Stanford Institute for Economic Policy Research, Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence, and Director of the Regulation, Evaluation, and Governance Lab (RegLab).
He is also a Faculty Fellow at the Center for Advanced Study in the Behavioral Sciences, Faculty Affiliate at the Woods Institute for the Environment, and Faculty Affiliate at the Wilson Sheehan Lab for Economic Opportunities.
His scholarship centers on quantitative empirical legal studies, with a substantive focus on administrative law and regulatory policy, antidiscrimination law, and courts. He received his J.D. from Yale Law School and his Ph.D. in political science from Harvard University, and clerked for Judge Stephen F. Williams on the U.S. Court of Appeals, District of Columbia Circuit. His research has appeared in journals such as the Stanford Law Review, the Yale Law Journal, the N.Y.U. Law Review, the Journal of the American Statistical Association, the American Statistician, the Journal of Law, Economics, and Organization, the American Economic Journal: Economic Policy, Quarterly Journal of Political Science, Political Analysis, the Journal of Legal Studies, and the Journal of Empirical Legal Studies. He is the recipient of numerous awards, including the John Bingham Hurlbut Award for Excellence in Teaching at Stanford Law School (2010), the Warren Miller prize for the best paper published in Political Analysis (2008), and the Pi Sigma Alpha award for the best paper delivered at the Midwest Political Science Association meeting (2004). He served as President for the Society of Empirical Legal Studies (2011-12) and as co-editor of the Journal of Law, Economics, and Organization (2013-16). -
Jackelyn Hwang
Assistant Professor of Sociology
BioJackelyn Hwang is an Assistant Professor in the Department of Sociology and a faculty affiliate at the Center for Comparative Studies in Race and Ethnicity and the Urban Studies Program. Jackelyn’s main research interests are in the fields of urban sociology, race and ethnicity, immigration, and inequality. In particular, her research examines the relationship between how neighborhoods change and the persistence of neighborhood inequality by race and class in US cities. Her current projects focus on the causes and consequences of gentrification and developing automated methods for measuring neighborhood change using Google Street View imagery.
Jackelyn received her B.A.S. in Sociology and Mathematics from Stanford University and her Ph.D. in Sociology and Social Policy from Harvard University. After completing her Ph.D., she was a Postdoctoral Research Fellow in the Office of Population Research at Princeton University. Her research has been supported by the American Sociological Association, the Joint Center for Housing Studies, the National Science Foundation, among others. Her work has appeared in the American Sociological Review, Demography, Social Forces, and other academic journals.
