ETH Zürich is hosting the first-ever SICSS in Switzerland! The event will take place through 16-29 June 2019 as an intensive summer school in computational social science in the beautiful city of Zürich. Sessions and lectures will take place in tandem with the flagship event at Princeton University, along with 9 other partner sites around the world.
The purpose of the Summer Institute is to bring together professionals, graduate students, postdoctoral researchers, and beginning faculty interested in computational social science. The Summer Institute is for both social scientists (broadly conceived) and data scientists (broadly conceived).
The instructional program will involve lectures, group problem sets, and participant-led research projects. There will also be outside speakers who conduct computational social science research in academia, industry, and government. Topics covered include
There will be ample opportunities for students to discuss their ideas and research with the organizers, other participants, and visiting speakers. Because we are committed to open and reproducible research, all materials created by faculty and students for the Summer Institute will be released open source.
See details for applications and apply by March 1st.
The Summer Institute in Computational Social Science is funded in part by grants from the Russell Sage Foundation and the Alfred P. Sloan Foundation. The institute at ETH Zürich is also supported by ETH Zürich.
Elliott Ash is Assistant Professor at ETH Zurich Department of Social Sciences, where he chairs the Law, Economics, and Data Science Group. Professor Ash’s research undertakes empirical analysis of law and political economy, with methods drawn from applied microeconometrics, natural language processing, and machine learning. Professor Ash was previously Assistant Professor of Economics at University of Warwick, and before that a Postdoctoral Research Associate at Princeton University. He received a PhD in economics and JD from Columbia University, a BA in economics, government, and philosophy from University of Texas at Austin, and an LLM in international criminal law from University of Amsterdam.
Elena is a postdoctoral associate in the Law, Economics, and Data Science Group in the Lab of Law & Economics at ETH Zurich. Elena works on the intersection between causal inference and machine learning in the context of the political media and its effects. Recently, her work has been focused on natural language processing. She is an enthusiastic proponent of computational social science in general. In 2018, she received her Ph.D. in political science and MA in statistics at Washington University in Saint Louis. Also, she holds MAs in political science from Central European University in Budapest and economics from New Economic School in Moscow. Her undergraduate degree in Applied Math and Computer Science is from Moscow State University.
Matt Salganik, Chris Bail, more coming soon.
Dirk Helbing is Professor of Computational Social Science at the Department of Humanities, Social and Political Sciences and affiliate of the Computer Science Department at ETH Zurich. In January 2014 Prof. Helbing received an honorary PhD from Delft University of Technology (TU Delft). Since June 2015 he is affiliate professor at the faculty of Technology, Policy and Management at TU Delft, where he leads the PhD school in ‘Engineering Social Technologies for a Responsible Digital Future’. He won various prizes, including the Idee Suisse Award. He co-founded the Competence Center for Coping with Crises in Complex Socio-Economic Systems, the Risk Center, the Institute for Science, Technology and Policy (ISTP) and the Decision Science Laboratory (DeSciL). While coordinating the FuturICT initiative, he helped to establish data science and computational social science in Europe, as well as global systems science.
Dominik Hangartner is an Associate Professor of public policy and faculty co-director of the Immigration Policy Lab. After pre-doctoral fellowships at Harvard University, Washington University in Saint Louis, and the University of California, Berkeley, Dominik received his Ph.D. in social science from the University of Bern in 2011. In the same year, he joined the London School of Economics as an Assistant Professor and was promoted to tenured Associate Professor in 2013, before joining ETH in 2017. Dominik uses field work and statistics to study the effects of migration policies and political institutions. His work has been published in leading scholarly journals such as the American Journal of Political Science, the American Political Science Review, Proceedings of the National Academy of Sciences, and Science, and has received several awards including the Philip Leverhulme Prize.
Christoph Stadtfeld is Assistant Professor of Social Networks at ETH Zürich, Switzerland. He holds a PhD from Karlsruhe Institute of Technology and has been postdoctoral researcher and Marie-Curie fellow at the University of Groningen, the Social Network Analysis Research Center in Lugano, and the MIT Media Lab. His research focuses on the development and application of theories and methods for social network dynamics.
Roger Wattenhofer is a full professor at the Information Technology and Electrical Engineering Department, ETH Zurich, Switzerland. He received his doctorate in Computer Science from ETH Zurich. He also worked some years at Microsoft Research in Redmond, Washington, at Brown University in Providence, Rhode Island, and at Macquarie University in Sydney, Australia. Roger Wattenhofer’s research interests are a variety of algorithmic and systems aspects in computer science and information technology, e.g., distributed systems, positioning systems, wireless networks, mobile systems, social networks, deep neural networks.
Romina studies Master of Computer Science at ETH Zurich. She is also Research Assistant at Law, Economics, and Data Science Group in the Lab of Law & Economics at ETH Zurich. She works on Natural language processing. Previously she was Research Assistant at Automated Software Engineering Laboratory in Computer Engineering Department at Sharif University of Technology. Also, she worked in Sharif E-commerce & E-government Research & Innovation Office. Generally, she is interested in Data mining, Machine learning, Natural language processing, and text Analysis. She did her Bachelor in Software Engineering at Sharif University of Technology.
The schedule will be posted in the coming months.