People-Center for Human Rights Science - Carnegie Mellon University

Jay D. Aronson

Director, Center for Human Rights Science and Associate Professor, Department of History

Office: 246-B Baker Hall

Phone: 412-268-2887

Fax: 412-268-1910



Jay Aronson is the founder and director of the Center for Human Rights Science at Carnegie Mellon University. He is also an Associate Professor of Science, Technology, and Society in the History Department. His research and teaching focus is on the interactions of science, technology, law, and human rights in a variety of contexts. He recently completed a long-term study of the ethical, political, and social dimensions of post-conflict and post-disaster identification of the missing and disappeared, and been involved in various projects to improve the quality of civilian casualty recording and estimation in times of conflict. This work was funded by generous grants from the U.S. National Institutes of Health (NIH) and the U.S. National Science Foundation (NSF). Jay is currently being supported by Humanity United, MacArthur Foundation, and Oak Foundation to facilitate collaborations between technologists and human rights practitioners. The goal of these partnerships is to develop better tools and approaches for acquiring, authenticating, analyzing, and archiving human rights-related video and images. His work in this domain also explores the extent to which the democratization of human rights documentation (through the global spread of social media and mobile phones with cameras) is leading to an increase in accountability and the prevention of atrocities. Jay’s previous research focused on the development and use of forensic DNA identification in the American criminal justice system. His first book, entitled Genetic Witness: Science, Law, and Controversy in the Making of DNA Profiling (Rutgers University Press, 2007), examined the development of forensic DNA analysis in the American legal system. His next book, on the recovery, identification and memorialization of the victims of the 9/11 World Trade Center attacks, will be published by Harvard University Press in Fall 2016. Jay received his Ph.D. in History of Science and Technology from the University of Minnesota and was both a pre- and post-doctoral fellow at Harvard University’s John F. Kennedy School of Government.

Artur Dubrawski

Director, Auton Lab, Robotics Institute and Heinz College

Office: 3128 Newell Simon Hall



Artur is a scientist and a practitioner with real world entrepreneurial experiences. He has started up a successful company specializing in integration and deployment of advanced control systems and technological devices. He has also been affiliated with startups incorporated by others: Schenley Park Research, a data mining consultancy and a CMU spin-off, where he was a scientist; and Aethon, a company building robots to automate transportation in hospitals, where he served as a Chief Technical Officer. Artur returned to CMU in 2003 to rejoin the Robotics Institute's Auton Lab. He works on a range of applied computer intelligence endeavors, and he teaches data mining and business intelligence to graduate students at the CMU Heinz College School of Information Systems and Management. He is interested in intelligent systems that work, are useful, and make economic sense, and in finding ways to effectively build and deploy them. Artur's work is driven by real-world applications, currently in the areas of public health, food safety, nuclear safety and health of equipment. It involves researching new machine learning algorithms and data structures to facilitate probabilistic modeling, predictive analysis, interactive exploration, and understanding of data.

Baruch Fischoff

Howard Heinz University Professor, Social and Decision Sciences and Engineering and Public Policy

Office: 219-E Porter Hall

Phone: 412-268-3246



Baruch is the Howard Heinz University Professor in the departments of Social and Decision Sciences and of Engineering and Public Policy at Carnegie Mellon University, where he heads the Decision Sciences major. A graduate of the Detroit Public Schools, he holds a BS in mathematics and psychology from Wayne State University and an MA and PhD in psychology from the Hebrew University of Jerusalem. He is a member of the Institute of Medicine of the National Academy of Sciences and currently chairs the National Research Council Committee on Behavioral and Social Science Research to Improve Intelligence Analysis for National Security. He also chairs the Food and Drug Administration Risk Communication Advisory Committee. He is a member of the Department of Homeland Security's Science and Technology Advisory Committee, the World Federation of Scientists Permanent Monitoring Panel on Terrorism, and the Department of State Global Expertise Program. He is past President of the Society for Judgment and Decision Making and of the Society for Risk Analysis, and recipient of its Distinguished Achievement Award. He was a member of the Eugene, Oregon Commission on the Rights of Women and the Environmental Protection Agency Science Advisory Board, where he chaired the Homeland Security Advisory Committee. He is a Fellow of the American Psychological Association, the Association for Psychological Science (previously the American Psychological Society), and the Society for Risk Analysis. He has co-authored or edited four books, Acceptable Risk (1981), A Two-State Solution in the Middle East: Prospects and Possibilities (1993), Elicitation of Preferences (2000), and Risk Communication: A Mental Models Approach (2002).

Alex John London

Associate Professor and Director, Center for Ethics and Policy, Department of Philosophy

Office: 135 Baker Hall

Phone: 412-268-4938



Alex is Associate Professor of Philosophy and has directed the Center for Ethics and Policy since 2007. He has written extensively on ethical issues in the conduct of research involving human subjects, including international research. He is particularly interested in problems relating to uncertainty, risk, fairness, equality and justice. He also works on methodological issues in both theoretical and applied ethics.  In 2006 Alex received the Distinguished Service Award from the American Society for Bioethics and Humanities and in 2005 he was awarded a New Directions Fellowship from the Andrew W. Mellon Foundation. He has been commissioned to write papers for the Institute of Medicine, the Centers for Disease Control and Prevention, and for a national study group that explored ethical issues involved in innovative surgical practices. He is curently a member of the Ethics Working Group of the HIV Prevention Trials Netword where he serves as liaison to vaginal health protocols.  Co-editor of one of the most respected and widely used textbooks in bioethics, Alex has authored more than 30 papers and book chapters in bioethics.

Joe Mertz, Jr.

Associate Teaching Professor and Director of Technology Consulting in the Global Community Program, Heinz College and Infomation Systems

Office: 3022 Hamburg Hall

Phone: 412-268-2540



Tom Mitchell

E. Fredkin University Professor and Chair, Machine Learning Department

Office: 8221 Gates Hillman Center

Phone: 412-268-2611



Tom is the E. Fredkin University Professor and head of the Machine Learning Department at Carnegie Mellon University. He is a member of the U.S. National Academy of Engineering, a Fellow of the American Association for the Advancement of Science (AAAS), and a Fellow and Past President of the Association for the Advancement of Artificial Intelligence (AAAI). Mitchell's research involves developing statistical machine learning algorithms, motivated by particular applications. One current application focus is cognitive neuroscience. In particular, Mitchell has been using fMRI and MEG brain image data to study how the human brain uses neural activity to represent meanings of common words. One of the attached papers describes the use of machine learning algorithms to develop a computational model that predicts the observed fMRI neural activity observed for specific nouns. A second current application area involves analysis of large volumes of text to extract targetted information. In particular, Mitchell leads the "Read the Web" research project which uses machine learning methods to extract hundreds of types of targetted information from the web, such as information about which cities lie on which rivers, the names of different regions in the brain, and which companies compete with one another. This research has produced a growing knowledge base containing hundreds of thousands of such beliefs. This knowledge base can be browsed online at

Daniel B. Neill

Assistant Professor of Information Systems and Director, Event and Pattern Detection Laboratory, Heinz College and School of Computer Science

Office: 2105-B Hamburg Hall

Phone: 412-268-3885



Daniel is Assistant Professor of Information Systems at the H.J. Heinz III College of Carnegie Mellon University (School of Public Policy and Management, and School of Information Systems and Management). He holds courtesy appointments in the Machine Learning Department and Robotics Institute at Carnegie Mellon, and is an adjunct professor in the University of Pittsburgh's Department of Biomedical Informatics. He received his M.Phil. in Computer Speech from Cambridge University in 2002, his M.S. in Computer Science from Carnegie Mellon in 2004, and his Ph.D. in Computer Science from Carnegie Mellon in 2006. Prof. Neill is the author of more than thirty publications on the topic of event and pattern detection, and is the director of the recently established Event and Pattern Detection Laboratory at CMU. He has also published in a variety of other fields including game theory, evolutionary biology, natural language processing, health care information systems, and cancer biology. Detection methods developed by Prof. Neill and colleagues have been incorporated into deployed disease surveillance systems in the U.S., Canada, India, and Sri Lanka, and his CrimeScan software is in day-to-day operational use by the Chicago Police Department in order to predict and prevent emerging hot-spots of violent crime. He has also developed a new curriculum in Machine Learning and Policy at CMU, creating several new graduate courses and establishing the world's first Ph.D. program in Machine Learning and Policy. Prof. Neill is the recipient of an NSF CAREER award (2010) and NSF Graduate Research Fellowship (2002-2005), and received the Best Research Presentation award at the 2005 National Syndromic Surveillance Conference.

Roni Rosenfeld

Professor, School of Computer Science

Office: 8106 Gates Hillman Complex

Phone: 412-268-7678



Roni is Professor of Language Technologies, Machine Learning and Computer Science at Carnegie Mellon University.  His research interests include Information and Communication Technologies for Development (ICT4D), and specifically Spoken Language Technologies for Development (SLT4D): finding ways to use speech recognition and automated dialog systems to aid socio-economic development around the world. Current projects investigate telephone-based information access and information entry by low-literate community health workers in Pakistan, and automated public health surveillance in local languages around the world.  Prof. Rosenfeld received a B.Sc. in Mathematics and Physics from Tel-Aviv University, and a M.Sc. and Ph.D. in Computer Science from Carnegie Mellon University.  He is a National Science Foundation Graduate Fellow, and a recipient of the Allen Newell Medal for Research Excellence.

Taylor Seybolt

Assistant Professor and Director, Ford Institute for Human Security, University of Pittsurgh Graduate School of Public and International Affairs

Office: 3937 Posvar Hall, University of Pittsburgh

Phone: 412-624-7918



Taylor is the Director of the Ford Institute for Human Security and an Assistant Professor at the Graduate School of Public and International Affairs, University of Pittsburgh.  He was a senior program officer at the United States Institute of Peace (USIP) in Washington, DC, from 2002 to 2008.  During his years in Washington, he was a Professorial Lecturer at the Johns Hopkins School for Advanced International Studies and an Adjunct Professor in the Security Studies Program at Georgetown University. From 1999 to 2002, he was Leader of the Conflicts and Peace Enforcement Project at the Stockholm International Peace Research Institute (SIPRI) in Sweden.  Seybolt is the author of Humanitarian Military Intervention: the Conditions for Success and Failure (Oxford, 2007). He was an advisor to the Genocide Prevention Task Force, co-chaired by Madeleine Albright and William Cohen. He has received grants and fellowships from the Belfer Center for Science and International Affairs at Harvard University's Kennedy School of Government, the MacArthur Foundation and USIP.  Seybolt holds a PhD in political science from MIT.

Raja Sooriamurthi

Associate Teaching Professor, Information Systems

Office: 224-D Porter Hall

Phone: 412-268-9593



Randy Weinberg

Teaching Professor and Director, Information Systems

Office: 224-C Porter Hall

Phone: 412-268-3228