SICSS-Copenhagen [POSTPONED]

June 14 to June 26, 2020 | University of Copenhagen | Copenhagen, Denmark

People


Faculty

Image of Friedolin Merhout
Friedolin Merhout
Friedolin Merhout is an Assistant Professor in the Department of Sociology and an affiliate of the Centre for Social Data Science at the University of Copenhagen. He uses computational and experimental methods to examine intergroup relations such as between immigrants and natives, political partisans, or religious groups. His research leverages digital trace, text, survey, and administrative data to generate novel insights about established social scientific puzzles.
Image of Anne Helby Petersen
Anne Helby Petersen
Anne Helby Petersen is a Ph.D. student at the Section of Biostatistics at the University of Copenhagen. Her Ph.D. project aims to develop new statistical methods for integrating data driven machine learning methods with dynamic life course analysis. She is the primary developer of two R-packages on CRAN, dataMaid and PCADSC.
Image of Hjalmar Bang Carlsen
Hjalmar Bang Carlsen
Hjalmar Bang Carlsen is a postdoctoral researcher at the Centre for Social Data Science at the University of Copenhagen. He works at the intersection of social data science, political sociology and pragmatism. He is currently working on two main projects focusing on 1) activists patterns of engagement, and 2) methodological issues within quantitative and qualitative text analysis, and especially their combination.

Speakers

Image of Samin Aref
Samin Aref
Samin Aref is a research scientist at the Max Planck Institute for Demographic Research (MPIDR) working on a wide range of computational social science topics. His background is in Network Science and Operations Research and he has an Erdős number of 3.
Image of Claus Thorn Ekstrøm
Claus Thorn Ekstrøm
Claus Thorn Ekstrøm is a professor in the Section of Biostatistics at the University of Copenhagen. His primary research interests are within the fields of bioinformatics, statistical genetics, and genetic epidemiology. In particular, his research has been centered on methods for linkage analysis of quantitative traits, linkage analysis and heterogeneity, analysis of genomewide association studies, environmentability, genetic marker error detection, and statistical models for genetic analysis of quantitative and qualitative traits measured on complex human families. His bioinformatics-related research involves functional data analysis, analysis of microarray experiments, image analysis of microarray scans, and integrated analysis of gene expression and metabolic profile data.
Image of Andrew Gelman [remote]
Andrew Gelman [remote]
Andrew Gelman is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University. He has received the Outstanding Statistical Application award from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40. His books include Bayesian Data Analysis (with John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Don Rubin), Teaching Statistics: A Bag of Tricks (with Deb Nolan), Data Analysis Using Regression and Multilevel/Hierarchical Models (with Jennifer Hill), Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do (with David Park, Boris Shor, and Jeronimo Cortina), and A Quantitative Tour of the Social Sciences (co-edited with Jeronimo Cortina).
Image of Sune Lehmann Jørgensen
Sune Lehmann Jørgensen
Sune Lehmann Jørgensen is a Professor at DTU Compute, Technical University of Denmark. He began his career as a physicist, but his interests have shifted towards complex networks and massive datasets, working in the intersection between physics, sociology, and computer science. In the past, he's worked as a Postdoctoral Fellow at Institute for Quantitative Social Science at Harvard University and the College of Computer and Information Science at Northeasthern University; before that, he was at Laszlo Barabási’s Center for Complex Network Research at Northeastern University and the Center for Cancer Systems Biology at the Dana Farber Cancer Institute. He's a graduate of the Niels Bohr Institute (B.Sc, Physics 2001, M.Sc, Physics, 2003) and the Technical University of Denmark (Ph.D., Complex Networks, 2007).
Image of David Dreyer Lassen
David Dreyer Lassen
David Dreyer Lassen is professor of Economics at the University of Copenhagen. He is the founding director of the Center for Social Data Science (SODAS) and co-deputy director of the Center for Economic Behavior and Inequality (CEBI), established in 2017 through a grant from the Danish National Research Foundation. He is also the Chair of the Independent Research Fund Denmark (DFF), and was a member of the 2017-8 Committee for Better University Education (Udvalget for bedre universitetsuddannelser). He has received a Sapere Aude Research Leader grant (2011-5), an ERC Starting Grant (2013-7), and a 2016 Elite Researcher Award from the Danish Ministry of Education and Research.
Image of Laust Hvas Mortensen
Laust Hvas Mortensen
Laust Hvas Mortensen heads the Data Science Lab at Statistics Denmark and is professor of Epidemiology at the University of Copenhagen. He conducts research in social and perinatal epidemiology broadly defined.
Image of Naja Hulvej Rod
Naja Hulvej Rod
Naja Hulvej Rod is professor in the Department of Public Health and head of the Section of Epidemiology at the University of Copenhagen. Her primary research interests are centered around complexity and lifecourse approaches to understand long-term health consequences of stress, impaired sleep and social adversities. She also has a keen interest in epidemiological methododology including causal inference approaches.
Image of Merlin Schaeffer
Merlin Schaeffer
Merlin Schaeffer is an associate professor in the Department of Sociology at the University of Copenhagen. He works on immigration, in particular on social and ethnic stratification as well as on the political sociology of immigration. In addition to this substantive focus, he has expertise in the field of quantitative empirical social science research and methods.
Image of Jonas Toubøl
Jonas Toubøl
Jonas Toubøl is a postdoc in the Department of Sociology at the University of Copenhagen. He conducts research in the areas of political sociology, social movements, labor market segmentation and unionzation as well as survey methodology. In particular Refugee Solidarity Movements and activist recruitment.
Image of Kun Zhang
Kun Zhang
Kun Zhang is an assistant professor in the CMU philosophy department and an affiliate faculty member in the machine learning department. His research interests lie in machine learning and artificial intelligence, especially in causal discovery and causality-based learning. He develops methods for automated causal discovery from various kinds of data, investigates learning problems including transfer learning and deep learning from a causal view, and studies philosophical foundations of causation and machine learning. On the application side, he is interested in neuroscience, computational finance, and climate analysis.

Teaching Assistants

Image of Asger Andersen
Asger Andersen
Asger Andersen is a PhD student at the Centre for Social Data Science. His research interests include social network dynamics and machine learning methods for causal inference. He holds a master’s degree in Statistics from UCPH.
Image of Jolien Cremers
Jolien Cremers
Jolien Cremers is a Postdoc at the Department of Public Health at the University of Copenhagen. She is an applied statistician bridging the gap between mathematical statistics and applied researchers by bringing new methods to their (potential) users. Her current research interest lies in modeling life trajectories from registry data using various methods for longitudinal and event-history data.

Participants

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