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SODAS steering committee

David Dreyer Lassen. Photo: Kelton MinorDavid Dreyer Lassen is the Director of SODAS and professor of Economics at the University of Copenhagen. He is currently the Chair of the Independent Research Fund Denmark - Social Science, and 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.

Social Data Science Skills: Combining big data and register data, data law and ethics, machine learning in the social sciences, quasi-experiments in social big data

SODAS projects: Mass Politics and Social Media, Social Fabric
SODAS courses:  Social Data Science, Topics in Social Data Science 

david.dreyer.lassen@econ.ku.dk
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Morten Axel Pedersen. Photo: Kelton MinorMorten Axel Pedersen is Deputy Director of SODAS and Professor of Anthropology at the University of Copenhagen. After having spent two decades working in and on Mongolia, Russia and China, he has for the last five years been doing research in Denmark. As one of founding member and co-PI of SODAS, he has participated in several quali-quantitative experiments and publications.

Social Data Science Skills: Social Data Science, Quali-quantitative Methods, Data Ethics, Technology & Ethnography

SODAS projects: Research group: Critical Algorithm Lab (CALL)

morten.pedersen@anthro.ku.dk
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Sune Lehmann. Photo: Kelton MinorSune Lehmann is interested in understanding data generated by human beings. A physicist by training, his work is quantitatively based, drawing on methods from statistical physics, network science, and machine learning.

Social Data Science Skills: Machine Learning, Data Analysis, Network analysis, Complex systems  

SODAS projects:  Microdynamics of Influence in Social Systems, Social Fabric

sljo@dtu.dk
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Anders Blok. Photo: Kelton MinorAnders Blok is Associate Professor in Sociology. He works on issues of urban sustainability, including via digital methods, as well as on new quali-quantitative digital data methodologies.

Social Data Science Skills: Digital methods, Quali-quantitative methodologies, Science & technology studies (STS), Data infrastructures and politics

SODAS projects: Research group: Critical Algorithm Lab (CALL)

abl@soc.ku.dk

Rebecca Adler-NissenRebecca Adler-Nissen is Professor in Political Science with a focus on international relations and diplomacy in the digital age. She directs DIPLOFACE exploring the relationship between confidential negotiations and public display (funded by the ERC) and Digital Disinformation exploring the spread and impact of online misinformation (funded by the Carlsberg Foundation). Rebecca is currently on maternity leave, and in her place in the Steering committee is Frederik Hjorth.

Social Data Science Skills: Digital political science, practice and affordance methodologies, the relationship between off-line and online worlds, digital mis- and disinformation.

SODAS projects: DIPLOFACE, Digital Disinformation

ran@ifs.ku.dk
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Frederik Hjorth. Photo: Kelton MinorFrederik Hjorth is Assistant Professor at the UCPH’s Department of Political Science. His research focuses on public opinion and voter behavior. His methodological work revolves around the analysis of unstructured data. Before taking up his position as Assistant Professor, Frederik was a postdoc in the Digital Disinformation project.

Social Data Science Skills: Text as data, Combining survey and register data, Twitter data, Machine learning in the social sciences

fh@ifs.ku.dk
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Søren KyllingsbækSøren Kyllingsbæk is Head of Department at Psychology and a member of SODAS steerign commitee.

institutleder@psy.ku.dk

Core SODAS Members

Andreas Bjerre-Nielsen. Photo: Kelton MinorAndreas Bjerre-Nielsen is postdoc at SODAS. His research spans from investigating social networks and school matching to using Big Data for analyzing human mobility.

Social Data Science Skills: Machine learning in econometrics, Network modelling, Spatial data

SODAS courses: Social Data Science, Topics in Social Data Science

andreas.bjerre-nielsen@econ.ku.dk
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Simon Westergaard Lex. Photo: Kelton MinorSimon Westergaard Lex is an assistant professor at the Department of Anthropology. He is co-PI in the project Smart Cities Accelerator, and teaches courses on data-driven design, innovation and interdisciplinary collaboration.

Social Data Science Skills: Data-driven design, Organisational ethnography, Anthropological analysis, Interdisciplinary collaboration.

SODAS projects: Smart Cities Accelerator
SODAS courses: The Anthropology of Design

simon.lex@anthro.ku.dk
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Laura Alessandretti. Photo: Kelton MinorLaura Alessandretti studies human behaviour through the analysis of large-scale datasets and modelling.  Her main lines of research concern "Human Mobility", or how individuals interact with space, and the cryptocurrency market as a complex decentralised system.

Social Data Science Skills: Complex Networks, Spatio-temporal data, Human Mobility, Mathematical modelling, Interactive visualisations

l.alessandretti@gmail.com
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Kristoffer Albris. Photo: Kelton MinorKristoffer Albris' current ethnographic and digital research covers (1) how citizens use social media platforms for emergency response and (2) the ethics of non-digital living among off-the-grid, or post-digital, communities.

Social Data Science Skills: Emergencies, Disasters, Scientific Controversies, Post-digital critique

kristoffer.albris@jur.ku.dk
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Nete Schwennesen. Photo: Kelton MinorNete Schwennesen is a post-doctoral researcher, who studies digital technologies in relation to health and processes of ageing. 

Social Data Science Skills: Digital health, care, algorithmic authority, digital accountability, implementation

SODAS projects: CONNECT: Dementia Care and Digital Technologies, When the physiotherapist goes digital: Physical rehabilitation and new infrastructures of care 

ns@anthro.ku.dk
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SODAS PhD Students

Kristoffer Pade Glavind. Photo: Kelton MinorKristoffer Pade Glavind is PhD student in Economics and Social Data Science. He has an education in journalism and has been working as economic advisor in the Danish parliament. Kristoffer researchs in social networks using digital methods.

Social Data Science Skills: Machine Learning in econometrics, Human Computer Interaction, Combining big data and register Data, Data Analysis 

kristoffer.glavind@econ.ku.dk

Hjalmar Alexander Bang Carlsen. Photo: Kelton MinorHjalmar Alexander Bang Carlsen works in the intersection between social data science, political sociology and pragmatism. He has 2 main projects 1) activists patterns of engagement 2) methodological issues within quantitative and qualitative text analysis, and especially their  combination.

Social Data Science Skills: Text Methodology, Digital Mixed Methods, Interactionism, Social Media

SODAS courses: Digital Methods: From Ethnography to Supervised Machine LearningRe-tooling Social Analysis: Behaviors, Networks, Ideas in the digital age 

hc@soc.ku.dk
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Snorre Ralund. Photo: Kelton MinorSnorre Ralund has a Bachelor and Master of Sociology from UCPH. He uses modern data and methods to study social relations. Theoretical inspiration comes from social science classics, among others: Erving Goffman, George Homans, Georg Simmel. His research interests include: Persistence and formation of social ties and social integration (within a Social Network Analytic Tradition), Modern Quantitative Methods and Computational Content Analysis.

Social Data Science Skills: Webscraping (both APIs and parsing of HTML), Text as data, Machine Learning, Social Network Analysis, High resolution sensor data

SODAS courses: Topics in Social Data Science

jser@econ.ku.dk
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Ulf Aslak Jensen. Photo: Kelton MinorUlf Aslak Jensen is a PhD student at SODAS. I research social network dynamics and mobility patterns of humans and various other animals.

Social Data Science Skills: Complex networks, Machine learning, Social science, Human mobility, Big data

SODAS courses: Topics in Social Data Science

uaj@econ.ku.dk
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Yevgeniy Golovchenko. Photo: Kelton MinorYevgeniy Golovchenko is a PhD fellow at the Department of Political Science, University of Copenhagen. His research interests include online disinformation, politics on social media and social network analysis.

Social Data Science Skills: Social network analysis, Text analysis, Mix methods, Russian social media 

yg@ifs.ku.dk
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