David Broniatowski, is an assistant professor in the School of Engineering and Applied Science at The George Washington University and the director of the Decision Making and Systems Architecture Laboratory. He conducts research in decision making under risk, group decision making, system architecture, and behavioral epidemiology. This research program draws upon a wide range of techniques including formal mathematical modeling, experimental design, automated text analysis and natural language processing, social and technical network analysis, and big data. Current projects include a text network analysis of transcripts from the U.S. Food and Drug Administration's Circulatory Systems Advisory Panel meetings, a mathematical formalization of Fuzzy Trace Theory -- a leading theory of decision-making under risk, derivation of metrics for flexibility and controllability for complex engineered socio-technical systems, and a study using Twitter data to conduct surveillance of influenza infection and the resulting social response. He received his Ph.D. from Massachusetts Institute of Technology.
Mathew J. Burrows serves as the director of the Atlantic Council's Strategic Foresight Initiative in the Brent Scowcroft Center on International Security. He was appointed counselor to the National Intelligence Council (NIC) in 2007 and director of the Analysis and Production Staff (APS) in 2010. As director of APS, Burrows was responsible for managing a staff of senior analysts and production technicians who guide and shepherd all NIC products from inception to dissemination. He was the principal drafter for the NIC publication Global Trends 2030: Alternative Worlds, which received widespread recognition and praise in the international media and among academics and think tanks. In 2005, he was asked to set up and direct the NIC's new Long Range Analysis Unit, which is now known as the Strategic Futures Group. Burrows joined the CIA in 1986, where he served as analyst for the Directorate of Intelligence (DI), covering Western Europe. He is a member of the DI's Senior Analyst Service. He and received a PhD in European history from Cambridge University, England in 1983.
David Cesarini is an associate professor in Economics at New York University and a co-founder of the Social Science Genetic Association Consortium (SSGAC), which seeks to bring cutting-edge methods from medical genomics into social-science genomics. Through the SSGAC, he has been involved in a number of efforts to discovery genetic associations with behavioral traits such as educational attainment, subjective well-being and neuroticism. His work spans several areas, including health economics, labor economics, economics and psychology, and social-science genetics. He received a Ph.D. in Economics from the Massachusetts Institute of Technology.
Joshua M. Epstein is professor of emergency medicine at Johns Hopkins University, director of JHU’s Center for Advanced Modeling and co-director of its Systems Institute. He holds joint appointments in applied mathematics, civil engineering, economics, environmental health sciences, biostatistics, international health, and is an external professor at the Santa Fe Institute. A pioneer in agent-based modeling, Epstein has authored seminal books including Growing Artificial Societies: Social Science from the Bottom Up, with Robert Axtell (MIT Press, 1996); Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Press, 2006); and recently, Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science (Princeton University Press, 2013). He holds a Ph.D. from MIT, has taught at Princeton and lectured worldwide. In 2008, he received an NIH Director’s Pioneer Award and in 2010, an Honorary Doctorate of Science from Amherst College, his alma mater.
Robert Fein is a national security psychologist who current serves as a member of the
National Academies’ Intelligence Community Studies Board. For the past thirty-five years, he has worked to understand and prevent targeted violence, such as assassination, workplace violence, stalking, school violence, and terrorist attacks. For more than twenty years, he worked with the U.S. Secret Service, consulting on protective intelligence cases and co-directing two operational studies on targeted violence (on assassination and school attacks). From 2003 to 2010, he served on the Intelligence Science Board, where he directed the ISB’s Study on Educing Information. Dr. Fein has worked with a number of intelligence, defense, and law enforcement organizations on the prevention of terrorist attacks and on counterintelligence. He holds appointments at McLean Hospital/Harvard Medical School and the University of Massachusetts Medical School. He received a Ph.D. in clinical psychology and public practice from Harvard University.
Susan T. Fiske (National Academy of Sciences member) is the Eugene Higgins Professor in Psychology and Public Affairs at Princeton University and currently chairs the National Academies Board on Behavioral, Cognitive, and Sensory Sciences. She investigates social cognition, especially cognitive stereotypes and emotional prejudices, at cultural, interpersonal, and neuro-scientific levels. Author of over 300 publications, she has been elected to the National Academy of Sciences. Sponsored by a Guggenheim, her 2011 Russell-Sage-Foundation book is Envy Up, Scorn Down: How Status Divides Us. Her most recent book is The HUMAN Brand: How We Respond to People, Products, and Companies (with Chris Malone). With Shelley Taylor, she wrote four editions of a classic graduate text: Social Cognition, and solo, three editions of an advanced undergraduate text, Social Beings: Core Motives in Social Psychology. She currently edits for Annual Review of Psychology, PNAS, and Policy Insights from Behavioral and Brain Sciences. She received a B.A. in social relations and a Ph.D. in social psychology from Harvard University.
Charles R. Gaukel is the Counselor and Chief of Analysis and Production Staff, National Intelligence Council (NIC). He began his assignment in January 2016. Prior to joining the NIC, Mr. Gaukel directed the Mission Performance Center in the CIA Directorate of Analysis, where he led a team providing business analytics, tradecraft quality evaluations, and specialized studies to senior Directorate, Agency, and IC leaders. From 2010-2012, he served at the National Geospatial Intelligence Agency (NGA) as Vice Chair of the National Geospatial Intelligence Committee, where he coordinated geospatial intelligence issues, policies, and programs across the US Government. Mr. Gaukel first came to the intelligence community as a graduate fellow with CIA in 1985. Since joining CIA as an analyst on European issues in 1986, he has served in a variety of analytic staff and leadership positions. He has lead or served as an analyst on a variety of all-source analytic units on Balkan, Central European, and West European issues. He served as the first Director of Political and Leadership Analysis training at the CIA’s Sherman Kent School for Intelligence Analysis. He served as a reserve intelligence office with the United States Navy, retiring in 2009 as a Commander. He has also served an editor/briefer on the President’s Daily Brief Staff. Among his awards, Mr. Gaukel has been recognized with the DCI Intelligence Commendation Award, multiple CIA exceptional performance and meritorious unit awards, the DCI Balkan Service Award, and the Joint Service Commendation Medal. He holds a B.S. in Education and an M.A. in Political Science from Kent State University, and has completed additional graduate work in policy analysis and international relations at Virginia Tech and the Johns Hopkins School of Advanced International Studies (SAIS).
George A. Gerliczy is an analytic methodologist in the CIA’s Directorate of Analysis, a member of the Senior Analytic Service (SAS), and a member of the Senior Intelligence Service (SIS). He has experience drafting the full range of analytic products, including “current intelligence” pieces and longer-term assessments, as well as briefing senior agency officials and USG policymakers. He is currently a member of an analytic unit charged with providing strategic insights on all issues and geographic regions, with a focus on examining the most complex topics using rigorous and novel methods. He has spent years working with academic and other nongovernment experts to integrate findings from social and behavioral science into intelligence products and processes. Mr. Gerliczy also served as foreign service officer with the Department of State and, prior to his government service, as a senior associate at “Standard & Poor’s DRI.” He received a B.A. in Mathematics and Political Science and an M.S. in Public Policy Analysis from the University of Rochester, and an M.A. in Security Studies, with a concentration in International Security, from Georgetown University.
Paul W. Glimcher is the Julius Silver Professor of neural science, economics, and psychology at New York University (NYU), Director of NYU’s Institute for the Interdisciplinary Study of Decision Making, and Director of the Glimcher Lab in NYU’s Center for Neural Science. Dr. Glimcher founded the Center for Neuroeconomics in 2004 and later founded the Society for Neuroeconomics, the first academic society dedicated to the field of neuroeconomics. As a neuroscientist, psychologist, and economist, he pioneered the field of neuroeconomics, which combines those disciplines and others to develop and advance interdisciplinary models of human choice and behavior. His research aims to describe the neural events that underlie behavioral decision—using tools from economics, psychology and neuroscience. His research has made contributions to understanding how value is encoded in the brain, delay discounting and action selection in the face of both risk and ambiguity. He is a Fellow of the American Association for the Advancement of Science, the McKnight Foundation, the Whitehall Foundation, the Ester A. & Joseph Klingenstein Fund, and the James S. McDonnell Foundation. He is also the recipient of the Margaret and Herman Sokol Faculty Award in the Sciences and NYU’s Distinguished Teaching Award. He received his B.A., magna cum laude, in neuroscience from Princeton University, and his Ph.D. in neuroscience from the University of Pennsylvania, the first degree in neuroscience awarded by the University of Pennsylvania.
Read Montague is the founding director of the Human Neuroimaging Laboratory and the Computational Psychiatry Unit of the Virginia Tech Carilion Research Center at Virginia Tech where he is also a professor of physics. He holds a Wellcome Trust Principal Research Fellowship at The Wellcome Trust Centre for Neuroimaging at University College London. In 2005-2006, Montague was a member of the Institute for Advanced Study in Princeton, NJ and was a Kavli Fellow of the National Academy of Science in 2010. His work centers broadly on human social cognition, decision-making, and willful choice with a goal of understanding the computational and neurobiological basis of these functions in health and disease. His work particularly focuses on computational neuroscience – the connection between physical mechanisms present in real neural tissue and the computational functions that these mechanisms embody. His group now employs novel approaches to functional neuroimaging, new biomarkers for mental disease, spectroscopy, real-time voltammetry, and computational simulations. Dr. Montague directs the Roanoke Brain Study (RBS), a project aimed at understanding decision-making through the lifespan and its relationship to brain development, function, and disease. His work has been published in Nature, Science, Neuron, and Proceedings of the National Academy. He received his B.S. in mathematics from Auburn University and his Ph.D. in biophysics from the University of Alabama at Birmingham School of Medicine. Montague’s work centers broadly on human social cognition, decision-making, and willful choice with a goal of understanding the computational and neurobiological basis of these functions in health and disease. Montague’s work particularly focuses on computational neuroscience – the connection between physical mechanisms present in real neural tissue and the computational functions that these mechanisms embody. His laboratory uses theoretical, computational, and experimental approaches to these issues. His group now employs novel approaches to functional neuroimaging, new biomarkers for mental disease, spectroscopy, real-time voltammetry, and computational simulations. Montague also directs the Roanoke Brain Study (RBS), a project aimed at understanding decision-making through the lifespan and its relationship to brain development, function, and disease. Work in the laboratory is supported by the National Institutes of Health, National Science Foundation, The Kane Family Foundation, Autism Speaks, The MacArthur Foundation, The Dana Foundation and the Wellcome Trust. His work has been published in high profile scientific journals including Nature, Science, Neuron, and Proceedings of the National Academy. He participates in public discourse on science and here his work has been profiled in The New York Times, Forbes, Scientific American, The Wall Street Journal, and other major media outlets.
Benjamin Neale is an assistant professor in the Analytic and Translational Genetics Unit at Massachusetts General Hospital (MGH), assistant professor in medicine at Harvard Medical School (HMS), and an associated researcher at the Broad Institute. He is strongly committed to gaining insights into the genetics of common, complex human diseases. With Mark Daly, he leads the ADHD Initiative, a collaborative effort that focuses on genomic studies of attention deficit hyperactivity disorder (ADHD). He has analyzed genetic data from large-scale studies of patients with ADHD, autism, age-related macular degeneration, type 2 diabetes, and metabolic disorders. He also analyzed data from the first ADHD genome-wide association study (GWAS) meta-analysis, which combined the results of four studies to boost statistical power. Neale contributed to the development of software tools such as PLINK, one of the most frequently used packages for GWAS analysis. He also led the design of the exome chip, a genotyping array that captures rare coding variation in a cost-effective manner. To date, over 1.5 million exome chips have been sold. Dr. Neale is the head of the ADHD psychiatric genetics GWAS analysis committee and an active member of the broader Psychiatric GWAS Consortium analysis committee, which is charged with analyzing all psychiatric data from these large-scale genome-wide association studies. He studied at the University of Chicago and Virginia Commonwealth University, earning a B.Sc. in genetics. He received his Ph.D. in human genetics from King’s College in London, UK.
Elizabeth A. Phelps is the Julius Silver Professor of Psychology and Neural Science at New York University. Previously, she served on the faculty of Yale University until 1999. Her laboratory has earned widespread acclaim for its groundbreaking research on how the human brain processes emotion, particularly as it relates to learning, memory and decision making. She is the recipient of the 21st Century Scientist Award from the James S. McDonnell Foundation and a fellow of the American Association for the Advancement of Science and the American Academy of Arts and Sciences. She has served on the Board of Directors of the Association for Psychological Science, the Society for Neuroethics and Society for Neuroeconomics, was the President of the Society for Neuroeconomics and the Association for Psychological Science, and served as the editor of the journal Emotion. She is the current President of the Society for Social and Affective Neuroscience. She received her Ph.D. from Princeton University.
Paul Slovic (National Academy of Sciences member) is a professor of psychology at the University of Oregon and a founder and president of Decision Research. He studies human judgment, decision making, and the psychology of risk. His most recent work examines "psychic numbing" and the failure to respond to mass human tragedies. With colleagues worldwide, he has developed methods to describe risk perceptions and measure their impacts on individuals and society. He publishes extensively and serves as a consultant to industry and government. He is a past president of the Society for Risk Analysis and in 1991 received its Distinguished Contribution Award. In 1993 he received the Distinguished Scientific Contribution Award from the American Psychological Association. In 1995 he received the Outstanding Contribution to Science Award from the Oregon Academy of Science. He has received honorary doctorates from the Stockholm School of Economics (1996) and the University of East Anglia (2005). He was elected to The American Academy of Arts and Sciences in 2015 and to the National Academy of Sciences in 2016. He holds a B.A. from Stanford University and an M.A and Ph.D. from the University of Michigan.
Jeremy Wolfe is professor of ophthalmology and radiology and head of the Visual Attention Lab at Harvard Medical School. In addition, he is a visiting faculty member in the department of brain and cognitive sciences at Massachusetts Institute of Technology and an adjunct associate professor in cognitive and neural systems at Boston University. He has extensive expertise in vision, binocular perception, visual attention, and cognitive science. His research focuses on visual search and visual attention with a particular interest in socially important search tasks in areas such as medical image perception (e.g. cancer screening), security (e.g. baggage screening), and intelligence. His work has developed the “Guided Search” (GS) model through several iterations. In recent years, he has become increasingly interested in the separable processes of selective and non-selective processes as described in his team’s “two-pathway” model in Trends in Cognitive Science (2011). Wolfe is Editor-in-Chief of Cognitive Research: Principles and Implications (CRPI). He received an A.B. in psychology from Princeton and his Ph.D. in psychology from Massachusetts Institute of Technology.