Previous speakers at POPNET Connects

Below you will find all the speakers that have given a lecture during one of the POPNET Connects seminars. Speakers of seminars that still have to take place are not listed below.

Interested in giving a lecture for our community during a POPNET Connects seminar? Please email us via popnet@uva.nl.

Tamas David-Barrett

Tamas David-Barrett is an evolutionary behavioural scientist, whose research asks what traits allow humans to live in large and culturally complex societies. He is especially interested in the architecture of social networks, and the evolutionary origins of social network building traits. Tamas’s structural micro-foundation theory offers a new understanding of human societies, and brings biological and social science models under a shared umbrella.

Currently, Tamás is based in Oxford where he teaches at Trinity College. He was educated in London, Cambridge, Jerusalem, and Budapest. Before becoming an academic, he ran a research consultancy and worked all around the planet. He recently finished his book, Matriocracy: The Science of Gender Rules. He is the host of the State of Species annual lecture, and is currently working on a new book: How to Think Scientifically, which tells the natural history of social and scientific truths.

Naja Hulvej Rod

Naja Hulvej Rod is Professor of Epidemiology and Chair of the Section of Epidemiology, University of Copenhagen. She is leading the Complexity and Big Data Group, which aim at studying the social and biological factors determining health and disease across the life span. She has extensive expertise in working with longitudinal datasets, register-based research and complex modelling including social influences and group dynamics. To embrace complexity in epidemiology, she actively explores new sources (e.g. smartphones and geocoding) of ‘big data’, incorporate system thinking and leverage insights across disciplines, and she has been involved in several citizen science projects with a direct societal engagement and impact. Naja Hulvej Rod is PI of the Danish Life Course Cohort (DANLIFE) Study, the Well-being in Hospital Employee Cohort (WHALE) study, the SmartSleep program, and the Corona Minds project.

Rense Corten

Rense Corten is Associate Professor at the Department of Sociology. His research revolves around the themes of cooperation, trust, and (the dynamics of) social networks, with empirical applications including adolescent networks, social media, the sharing economy, online criminal networks, and laboratory experiments. In 2016 he received an NWO Vidi grant for a research project on the origins and consequences of trust in the sharing economy.

He obtained his PhD in social sciences in 2009 and his doctorate in sociology in 2004 at Utrecht University.

Willem Boterman

Willem Boterman is Associate Professor Urban Geography at the University of Amsterdam. He combines qualitative and quantitative methods in his interdisciplinary work into the relationship between spatial and social inequalities. His work is primarily concerned with segregation in neighborhoods and schools, but also with formations of social class and gender.

Marjolijn Das

Marjolijn Das works as a senior statistical researcher at Statistics Netherlands and is an endowed professor of Urban Statistics at the Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, appointed within the Leiden-Delft-Erasmus Centre for BOLD Cities. Her research focuses on quantitative social research with large-scale register data. For a number of years, she has been working with the whole population network derived by CBS. Her research theme is the interplay between people and their urban/social environment. She published on spatial inequalities, mobility in the life course, social and family networks and the intergenerational transmission of education. She holds a PhD in Ethology from Utrecht University

Fariba Karimi

Fariba Karimi is leading the Network Inequality group at Complexity Science Hub.

Her expertise encompasses network analysis, computational social science, data science, and agent-based modeling. Her current research focuses on emergence of inequalities and biases in social networks and online algorithms. She has recently awarded a Digital Humanism grant to study the impact of algorithms on exacerbating social inequalities.

Her research appears in leading journals including Nature Human Behavior, Scientific Reports, Nature Humanities and Social Sciences Communications, Advances in Complex Systems, and EPJ Data Science. She is among the 7 candidates for the Hedy Lamarr Prize of the city of Vienna honoring women researchers in Austria for their outstanding achievements in the field of information technology.

David Schoch

David came to Manchester in September 2018 as a Presidential Fellow in Sociology. He received his PhD in 2015 at the Department of Computer and Information Science, University of Konstanz, Germany. During that time, He was also a member of the Graduate School of Decision Sciences. His thesis focused on theoretical advancements for network centrality in the field of social network analysis. He continued as a postdoctoral researcher at the University of Konstanz (11/2015-10/2017) and ETH Zurich (11/2017-8/2018). David also holds a diploma in economathematics from the Karlsruhe Institute of Technology, Germany.

In his current research, he focuses on methodological and theoretical contributions to the field of Social Network Analysis. Additionally, he is involved in a project on disinformation campaigns on social media platforms (“political astroturfing”).

Lőrincz László

László Lőrincz is a Sociologist (Ph.D) at NETI Lab at Corvinus University, and ANet Lab at Research Centre for Economic and Regional Studies. He joined the Research Centre for Economic and Regional Studies in 2013, after working in the government, and in the private sector. He works at Corvinus University since 2016. His research includes adoption and collapse of online social networks, and network aspects of labor mobility and migration. His work was published in Social Networks, Journal of Technology Transfer and Applied Network Science.

Márton Karsai

Márton Karsai, PhD, Habil., is an Associate Professor in the Department of Network and Data Science at the Central European University, researcher at the Rényi Institute of Mathematics, and fellow of the ISI Foundation in Torino. His research interest falls within human dynamics, computational social science, and data science, especially focusing on heterogeneous temporal dynamics, spatial and temporal networks, socioeconomic systems and social contagion phenomena. His main expertise is in analysing large human interaction datasets and in the development of data-driven models of various social phenomena.

Milena Tsvetkova

Milena Tsvetkova is Assistant Professor of Computational Social Science at the Department of Methodology at the London School of Economics and Political Science. She completed her PhD in Sociology at Cornell University and postdoctoral research at the Oxford Internet Institute. Her research interests lie in the fields of computational social science. She uses large-scale web-based social interaction experiments, network analysis of online data, and agent-based modelling to investigate fundamental social phenomena such as cooperation, social contagion, segregation, and inequality.

Tobias Blanke

Tobias Blanke is Distinguished University Professor of Artificial Intelligence and Humanities at the University of Amsterdam and project partner of POPNET.

His academic background is in moral philosophy and computer science. Tobias’ principal research interests lie in the development and research of artificial intelligence and big data devices as well as infrastructures for research, particularly in the human sciences. Recently, he has also extensively published on ethical questions of AI like predictive policing or algorithmic otherings, as well as critical digital practices and the engagement with digital platforms.

Tobias’ monographs include most recently Digital Asset Ecosystems – Rethinking Crowds and Clouds, which offers a new perspective on the collaboration between humans and computers in global digital workflows. He is currently writing a book on the socio-economic position of AI called ‘Algorithmic Reason – the Governance of Self and Other’.

Lasse Folke Henriksen

Lasse Folke Henriksen is Associate Professor at Copenhagen Business School. Henriksen’s research interests involve: social networks in organisations and markets; experts and professions in governance and policy; the socio-economic and political prominence of corporate elite; inequality in a comparative perspective; and the politics of conservation and environmental sustainability. His work frequently deploys social network analytic tools to trace the origins of social and political action. Henriksen is the author of several books and he has published in journals such as Organization; Social Networks; Regulation & Governance; Global Networks; and International Political Sociology.