People
SODAS steering committee
|
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 david.dreyer.lassen@sodas.ku.dk |
|
Morten Axel Pedersen is Deputy Director of SODAS, academic director of the new M.Sc. in Social Data Science program at UCPH, and Professor of Social Anthropology at the University of Copenhagen. After having spent two decades doing ethnographic research in Mongolia, Russia and China, Morten has for the last five years been working in and on Denmark. As one of founding members of SODAS, he has participated in numerous social data science projects, data-sprints, experiments and publications. He is the PI of the ERC Advanced Grant research project DISTRACT: The Political Economy of Attention in Digitized Denmark. Social Data Science Skills: Quali-Quantitative Methods, Data Ethics, Social Data Theory, Computational Anthropology SODAS projects: Research group: Critical Algorithm Lab (CALL) |
|
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 |
|
Social Data Science Skills: Machine Learning, Data Analysis, Network analysis, Complex systems SODAS projects: Microdynamics of Influence in Social Systems, Social Fabric |
|
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) |
|
|
|
Social data science skills: surveys and experiments, economics and psychology of online behavior and human-computer interaction |
Anders Blok
Assistant Professors
|
Social Data Science Skills: Machine learning in econometrics, Network modelling, Spatial data SODAS courses: Social Data Science, Topics in Social Data Science |
|
Social Data Science Skills: Text as data, Combining survey and register data, Twitter data, Machine learning in the social sciences |
|
Social data science skills: Digital ethnography, digital methods, text as data, data ethics, GDPR SODAS projects: Data Governance after GDPR |
|
Social Data Science Skills: Online experiments, statistical disclosure control, text as data, web scraping (browser automation and APIs). |
|
|
|
Social Data Science Skills: Feminist technology studies, Data ethics, Ethnography of computing cultures, Human computer interaction. SODAS courses: Digital Identities samantha.breslin@sodas.ku.dk |
|
Social Data Science Skills: Complex networks, Machine learning, Social science, Human mobility, Big data Social Data Science: Text Data and Deep Learning |
|
Social Data Science Skills: Complex Networks, Spatio-temporal data, Human Mobility, Mathematical modelling, Interactive visualisations |
Frederik Hjorth
Gregory Eady
Laura Alessandretti is an Assistant Professor at the Department of Applied Mathematics and Computer Science at DTU - Technical University of Denmark. She 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.
Postdoctoral Researchers
|
Social Data Science Skills: Text Methodology, Digital Mixed Methods, Interactionism, Social Media SODAS courses: Digital Methods: From Ethnography to Supervised Machine Learning, Re-tooling Social Analysis: Behaviors, Networks, Ideas in the digital age |
|
Social Data Science Skills: Online Social Behaviour, Machine Learning, Data Analysis, Social Network Analysis |
|
Social Data Science Skills: Quantitative Text Analysis, Web-Scraping, Machine Learning in the Social Sciences, Twitter data, Discourse Theory SODAS projects: DIPLOFACE |
|
Social Data Science Skills: Digital International Relations, ethnographic and interpretive analysis of digital data, practice methodologies SODAS projects: DIPLOFACE |
Social Data Science Skills: Field Experiments, Surveys, Preferences of children, combining survey and register data |
|
Mette My Madsen is a Postdoctoral Researcher at SODAS. |
|
Anna Rogers is a Postdoctoral Researcher at the Copenhagen Center for Social Data Science (SODAS). She is a computational linguist working on design and interpretability of distributional meaning representations, evaluation methodology, and social applications of Natural Language Processing. Social Data Science Skills: Cognitive linguistics, natural language processing, Russian social media |
Patrice
Kristin Anabel EggelingPhD Students
|
Social Data Science Skills: Machine Learning in econometrics, Human Computer Interaction, Combining big data and register Data, Data Analysis
|
|
Social Data Science Skills: Social network analysis, Text analysis, Mix methods, Russian social media |
|
Social Data Science Skills: Machine learning for causal inference, social network dynamics, large scale data analysis, web scraping. |
|
Social Data Science Skills: Media studies, Social science, Mixed methods, Data analysis. |
|
Thyge Enggaard is a PhD student at SODAS, and holds a Master degree in Economics from Aarhus University. His research interests includes the application of machine learning to study social relations, as well as how to combine this with qualitative methods. Social Data Science Skills: Machine learning, statistical modelling, large scale data analysis |
|
Social Data Science Skills: Applied machine learning, Educational Economics, Mechanism Design, and Data Mining |
|
Social Data Science Skills: Environmental data science, computational social science, geospatial analysis, remote sensing, climate econometrics, environmental psychology, social ecology, data visualization |
|
|
 Terne Sasha Thorn Jakobsen is a PhD student at SODAS. Her research interests include misinformation, trust in research, generalisation and biases in machine learning, as well as interpretability/transparency hereof. Social Data Science Skills: Natural Language Processing, Machine Learning, Deep Learning, Large Scale Data Analysis, Behavioural and Social Science.
|
|
Social Data Science Skills: Ethnographic studies of data use, Data infrastructures and markets, Science and Technology studies (STS). SODAS projects: Smart Cities Accelerator |
|
Anna Helene Kvist Møller is a PhD student at SODAS. She has a Masters in Sociology from UCPH. In her research she bridges visual sociology with digital methods to explore how individuals use images to connect, interpret, communicate and to distinguish themselves from or imitate others, on social media platforms. Social Data Science Skills: Images as data, visual methods, cultural analytics, digital network analysis, computer vision. |
Asger Andersen is a PhD student at SODAS. His research interests include social network dynamics and machine learning methods for causal inference. He holds a master’s degree in Statistics from UCPH.
Yangliu Fan is 
Emil Chrisander
Kelton Ray Minor
Sigriður Svala Jónasdóttir
Eva Iris Otto Research Assistants
|
Social Data Science Skills: Webscraping (both APIs and parsing of HTML), Text as data, Machine Learning, Social Network Analysis, High resolution sensor data Social Data Science: Text Data and Deep Learning |
|
Nicklas Johansen, MSc in Business Administration and Mathematical Business Economics |
|
Annika Isfeldt holds a BA in philosophy as well as a BSc and a MSc in anthropology from UCPH. She conducts netnography on the language and visuals used to explain and mitigate covid-19 and how this correlates with that of climate change. Social Data Science Skills: Netnography and methodology. |
Snorre 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.Academic Project Assistants
|
|
|
|
Emilie Munch-Gregersen, Bachelor Student in Anthropology.
Tobias Priesholm Gårdhus, Bachelor Student in Sociology. SODAS Affiliated
|
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 |
|
SODAS Data Science Skills: Quali-quantitative methods, human-computer interaction, digital infrastructures, social data analysis, interdisciplinary collaboration |
Nete Schwennesen
Simon Westergaard Lex
Administration
|
sophie.groenning@sodas.ku.dk |
|
|
Sophie Smitt Sindrup Grønning is Center Administrator of SODAS. She has a Master in Political Science from University of Copenhagen. She is in charge of communication, coordination and purchasing.
Clara Rosa Sandbye is Study Administrator of the new MSc in Social Date Science. She has a Bachelor in Anthropology from University of Copenhagen. She is in charge of communication and coordination of the master degree.
Student Assistants
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Sara Vera Marjanovic, Master Student in IT and Cognition |
|
Asger Hans Thomsen, Bachelor Student in Sociology |
|
Majse Stina Grosen, Master Student in Sociology |
Jonas Skjold Raaschou-Pedersen, Bachelor Student in Economics.
Lykke Sterll Christensen, Master Student in Economics.
Zoe Anna Skovby Burke, Bachelor Student in Sociology
Frederik Carl Windfeld, Bachelor Student in Political Science
Sofie Læbo Astrupgaard, Bachelor Student in Anthropology
Malene Hornstrup Jeppesen, Master Student in IT and Cognition
Viktor Due Pedersen, Bachelor Student in Data Science
Anne Marie Hastrup Kristensen, Master Student in Psychology 
Cathrine Valentin Kjær, Bachelor Student in Political Science
Esben Brøgger Lemminger, Bachelor Student in Sociology