Dirk Brockmann
Humboldt University, Berlin
Professor at the Institute for Biology

Dirk Brockmann is a professor at the Institute for Biology at Humboldt University of Berlin and the Robert Koch Institute, Berlin. Brockmann is known for his work in complex systems, complex networks, computational epidemiology, human mobility and anomalous diffusion.

Brockmann studied physics and mathematics at Duke University and the University of Göttingen where he received his degree in theoretical physics in 1995 and his PhD in 2003. After postdoctoral positions at the Max Planck Institute for Dynamics and Self-Organization, Göttingen he became Associate Professor in the Department of Engineering Sciences and Applied Mathematics at Northwestern University in 2008. In 2013 he returned to Germany where he became Professor at the Institute for Biology at Humboldt University of Berlin. Brockmann worked on a variety of topics ranging from computational neuroscience, anomalous diffusion, Levy flights, human mobility, computational epidemiology, and complex networks.

Noshir Contractor
Northwestern University
Professor of Management & Organizations, Kellogg School of Management
Jane S. & William J. White Professor of Behavioral Sciences, McCormick School of Engineering,
Communications Studies Director, Science of Networks in Communities (SONIC) Research Group

Noshir Contractor is the Jane S. & William J. White Professor of Behavioral Sciences in the McCormick School of Engineering & Applied Science, the School of Communications and the Kellogg School of Management at Northwestern University. He is the Director of the Science of Networks in Communities (SONIC) research center and holds a PhD from the Annenberg School of Communication at the University of Southern California and a Bachelor’s Degree in electrical engineering from the Indian Institute of Technology in Madras (Chennai).

Helen Margetts
University of Oxford
Professor of Society and the Internet
Director of the Oxford Internet Institute

Helen Margetts is the Director of the Oxford Internet Institute, and a Professor of Society and the Internet at the University of Oxford. Dr. Margetts is a political scientist specializing in digital era governance and politics, investigating political behavior, digital government and government-citizen interactions in the age of the Internet, social media and big data. She has published over a hundred books, articles and major research reports in this area. In 2003, Dr. Margetts was co-named as winner of the Political Scientists Making a Difference award from the United Kingdom Political Studies Association, in part for a series of policy reports on government and Internet for the UK National Audit Office. Dr. Margetts continues working to maximize the policy impact of her research and sits on the digital advisory board of the UK Government Digital Service and the World Economic Forum Global Agenda Council on the Future of Government. She is the Editor-in-Chief of the journal Policy and Internet, a fellow of the Academy of Social Sciences.

Markus Strohmaier
RWTH Aachen University, Germany
Professor for Computational Social Sciences and Humanities
GESIS – Leibniz Institute for the Social Sciences, Cologne, Germany
Scientific Coordinator for Digital Behavioral Data

Markus Strohmaier is a Professor for Computational Social Sciences and Humanities at RWTH Aachen University, Germany and Scientific Coordinator for Digital Behavioral Data at GESIS – Leibniz Institute for the Social Sciences, Cologne, Germany. He has been a visiting scientist/professor at Stanford University (USA) during the 2011/12 academic year, at XEROX Parc (2009, 2010-2011) and at RWTH Aachen (2009).

Markus Strohmaier received his PhD from the Faculty of Computer Science at Graz University of Technology in 2004. From 2006-2007, he was a Postdoctoral Fellow at the Dept. of Computer Science at University of Toronto working with Prof. Eric Yu on agent-oriented and social modeling. In 2012, he completed his habilitation at Graz University of Technology. His main research interests include Web-Science, Social and Semantic Computing, Social Software Engineering, Networks and Data Mining. To date, he has been awarded substantial research funding (either as PI, Co-PI or key scientist) from national and European funding agencies.

Brian Uzzi
Northwestern University
Richard L. Thomas Professor of Leadership and Organizational Change, Kellogg School of Management
Co-Director, Northwestern Institute on Complex Systems (NICO)
Faculty Director, Kellogg Architectures of Collaboration Initiative (KACI)
Professor of Industrial Engineering and Management Sciences, McCormick School
Professor of Sociology, Weinberg College

Brian Uzzi is the Richard L. Thomas Professor of Leadership at the Kellogg School of Management, Northwestern University. He also co-directs NICO, the Northwestern Institute on Complex Systems and Data Science, is Director of the Kellogg Architectures of Collaboration Initiative (KACI), and is professor of Sociology and of Industrial Engineering and Management Science at the McCormick School of Engineering. His research on social networks and human achievement has appeared in Nature, Science, PNAS, Harvard Business Review, and leading sociology, management, and computer science journals and proceedings. He is also the author of three books, including: Athena Unbound: The Advancement of Women in Science and Technology. (Cambridge University Press 2000) and Enhancing the Effectiveness of Team Science. (National Academy of Sciences 2015). Brian has a PhD in Sociology from Stony Brook University and an MS in Organizational Psychology from Carnegie Mellon University.

Program Committee Co-Chairs

Jane Diesner
University of Illinois at Urbana-Champaign
Assistant Professor and PhD Program Director

Jana Diesner is an assistant professor at the iSchool at the University of Illinois at Urbana-Champaign. She earned her PhD from Carnegie Mellon University, School of Computer Science, in the Computation, Organizations and Society (COS) program.

Diesner conducts research at the nexus of network science, natural language processing and machine learning. Her research mission is to contribute to the computational analysis and better understanding of the interplay and co-evolution of information and the structure and functioning of socio-technical networks. She develops and investigates methods and technologies for extracting information about networks from text corpora and considering the content of information for network analysis. In her empirical work, she studies networks from the business, science and geopolitical domain. She is particularly interested in covert information and covert networks.

Diesner was a 2015-2016 faculty fellow in the National Center for Supercomputing Applications (NCSA) at Illinois and is a 2016 Dori J. Maynard Senior Fellow.

Lorien Jasney
University of Exeter
Lecturer in Politics

Lorien Jasny is a computational social scientist focusing on questions of public involvement in environmental decision making. Her research agenda focuses on two related themes: how the structure and dynamics of inter-organizational networks affect policy change, and how the structure and dynamics of belief networks affect behavioral change. Substantively, Lorien studies how people try to bring about societal change in response to political and environmental concerns. Methodologically, the need to grapple with these often complex phenomena requires the use and development of techniques for handling large, dynamic and relational datasets.

Michael Mauskapf
Columbia Business School
Assistant Professor of Management

Michael Mauskapf is an Assistant Professor of Management at Columbia Business School, where he teaches ‘Introduction to Venturing’ in the MBA curriculum. His research integrates insights from organization theory, economic sociology, and computational social science to better understand the dynamics of innovation and success in creative industries. He also studies the unique challenges facing cultural institutions, particularly in the nonprofit performing arts. Michael’s dissertation was awarded the Art Stinchcombe Dissertation Prize in Organization Studies by Northwestern University, and was recognized as a finalist in the 2016 INFORMS/Organization Science Dissertation Proposal Competition. His work has been published or is forthcoming in the Academy of Management Review, the American Sociological Review, and the Academy of Management Best Paper Proceedings, and it has been featured in a number of popular press outlets, including Bloomberg News, The Daily Mail, The San Francisco Examiner, and Spotify Insights. Michael is a graduate of the University of Pennsylvania (B.A.) and the University of Michigan (M.A., Ph.D. in Musicology), and is currently completing his Ph.D. in Management & Organizations at Northwestern University. He remains active as a musician, board member, and consultant in the arts and culture sector.

Cuihua (Cindy) Shen
University of California, Davis
Associate Professor, Department of Communication

Cuihua (Cindy) Shen is an Associate Professor at the Department of Communication, University of California, Davis. She co-directs the Computational Communication Research Lab ( She studies social networks dynamics in digital games and other online communities, including social network sites such as Facebook and mass-collaboration sites such as Wikipedia. Methodologically, she uses large-scale data analysis along with survey and experimental research.

Taha Yasseri
University of Oxford
Senior Research Fellow in Computational Social Science

Taha Yasseri is a Senior Research Fellow in Computational Social Science at the Oxford Internet Institute, University of Oxford, a Turing Fellow at the Alan Turing Institute for Data Science, and a Research Fellow in Humanities and Social Sciences at Wolfson College, University of Oxford. Taha Yasseri has interests in analysis of large-scale transactional data to understand human dynamics, government-society interactions, mass collaboration, information dynamics, and opinion dynamics.