Hirokazu Shirado is Assistant Professor of the Human-Computer Interaction Institute in the School of Computer Science at Carnegie Mellon University. He received his doctorate in Sociology at Yale University, where he was a member of the Yale Institute for Network Science. His reseach interests include social networks and computational social science. He is particularly committed to the experimental study of cooperative behaviors as they manifest through interactions between people located within social networks.
Makiko Nakamuro is Professor of Policy Management at Keio University. She is an economist who has focused on economics of education. Makiko graduated from Keio University, Faculty of Environmental Information (SFC) in 1998, and then completed Masters and Ph.D. programs at Columbia University in the city of New York (in 2005 and 2010, respectively). She used to work for the Bank of Japan and the World Bank where she was given considerable hand-on training on economic research. She also worked for Tohoku University as an Assistant Professor, particularly working on the project of international migration.
Kosuke Imai is Professor in the Department of Government and the Department of Statistics at Harvard University. He is also an affiliate of the Institute for Quantitative Social Science. Before moving to Harvard in 2018, Imai taught at Princeton University for 15 years where he was the founding director of the Program in Statistics and Machine Learning. Imai specializes in the development of statistical and machine learning methods and their applications to social science research, including causal inference, survey research, and various computational social science problems. He has published more than 50 peer-reviewed journal articles and 20 open-source statistical software packages. Imai is the author of an introductory statistics textbook for social scientists, Quantitative Social Science: An Introduction (Princeton University Press, 2017).
Kazutoshi Sasahara is Senior Lecturer in Department of Complex Systems Science, Graduate School of Informatics, Nagoya University. He received his Ph.D. in Multidisciplinary Sciences from The University of Tokyo in 2005. His research interests are in computational social science and complexity science. In particular, he studies the information ecosystem (e.g., echo chamber and fake news), language, morality, and culture in the digital era.
Naoki Egami is an incoming Assistant Professor in the Department of Political Science at Columbia University, starting in Fall 2020. He is finishing his Ph.D in the Department of Politics at Princeton University and a pre-doctoral fellow in the Department of Government at Harvard University. He is broadly interested in political methodology and comparative political behavior. His research has focused on spatial and network causal inference and the development of machine learning methods for the social sciences. His work has appeared in Journal of the American Statistical Association. He obtained a B.A. in Liberal Arts from the University of Tokyo in 2015, and also studied at University of Michigan, Ann Arbor, as a visiting student in 2013.
Hirotake Ito is a Researcher of Policy Management and a Ph.D. student at Keio University. He completed a master's course in economics at Hitotsubashi University. He has experience working for an asset management company and a data analysis company.
Host a Location
You can host a partner location of the Summer Institutes of Computational Social Science (SICSS) at your university,
company, NGO, or government agency.