Medarbejdere
SODAS steering committee
Morten Axel Pedersen is 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:Critical Algorithm Lab (CALL), DISTRACT, The Dynamics of Political Discourse and Attention during the COVID-19 outbreak, COVID-19 Snapshot MOnitoring in Denmark (COSMO Denmark) SODAS courses: Data Governance: Ethics, Law and Politics |
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, HOPE |
Social Data Science Skills: Machine learning in econometrics, Network modelling, Spatial data SODAS courses: Introduction to Social Data Science 2020,Social Data Science: Econometrics and Machine Learning SODAS projects: Social Fabric, Nation-scale social networks |
Social Data Science Skills: Machine Learning, Data Analysis, Network analysis, Complex systems SODAS projects: Microdynamics of Influence in Social Systems, Social Fabric, HOPE, Nation-scale social networks, HOPE |
Social Data Science Skills: Digital methods, Quali-quantitative methodologies, Science & technology studies (STS), Data infrastructures and politics SODAS projects: Critical Algorithm Lab (CALL), Cross-national dynamics of risk-related attitudes on social media, The Dynamics of Political Discourse and Attention during the COVID-19 outbreak, DISTRACT SODAS courses: Social Data Science Base Camp |
Social Data Science Skills: surveys and experiments, economics and psychology of online behavior and human-computer interaction SODAS projects: COVID-19 Snapshot MOnitoring in Denmark (COSMO Denmark) SODAS courses: Elementary Social Data Science |
Professors
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, Nation-scale social networks david.dreyer.lassen@sodas.ku.dk |
Søren Kyllingsbæk is Professor in Cognitive Psychology at the University of Co
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Assistant Professors
Social Data Science Skills: Text as data, Combining survey and register data, Twitter data, Machine learning in the social sciences SODAS projects: What do the Danes think, know and mean about the Corona Epidemic?, The Dynamics of Political Discourse and Attention during the COVID-19 outbreak |
Social Data Science Skills: Digital ethnography, digital methods, text as data, data ethics, GDPR SODAS projects: Data Governance after GDPR, DISTRACT SODAS courses: Data Governance: Ethics, Law and Politics |
Social Data Science Skills: Online experiments, statistical disclosure control, text as data, web scraping (browser automation and APIs). SODAS projects: The Dynamics of Political Discourse and Attention during the COVID-19 outbreak, COVID-19 Snapshot MOnitoring in Denmark (COSMO Denmark) SODAS courses: Social Data Science Base Camp, Elementary Social Data Science |
SODAS courses: Elementary Social Data Science |
Social Data Science Skills: Feminist technology studies, Data ethics, Ethnography of computing cultures, Human computer interaction. SODAS courses: Digital Identities, Social Data Science Base Camp SODAS projects: The Dynamics of Political Discourse and Attention during the COVID-19 outbreak samantha.breslin@sodas.ku.dk |
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 SODAS projects: Solidarity and Volunteering in the Corona Crisis, The Dynamics of Political Discourse and Attention during the COVID-19 outbreak, COVID-19 Snapshot MOnitoring in Denmark (COSMO Denmark) |
Postdoctoral Researchers
Social Data Science Skills: Online Social Behaviour, Machine Learning, Data Analysis, Social Network Analysis SODAS projects: DISTRACT |
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 SODAS projects: DISTRACT |
Social Data Science Skills: natural language processing, computational linguistics, Russian social media |
Social data science skills: Recommender Systems, Quantitative Text Analysis, Supervised and Unsupervised Machine Learning; Algorithmic Fairness and Transparency; Network Analysis |
Social Data Science Skills: Webscraping (both APIs and parsing of HTML Text as data, Machine Learning, Social Network Analysis, High resolution sensor data |
PhD Students
Social Data Science Skills: Machine Learning in econometrics, Human Computer Interaction, Combining big data and register Data, Data Analysis
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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. |
Social Data Science Skills: Machine learning, statistical modelling, large scale data analysis SODAS projects: The Dynamics of Political Discourse and Attention during the COVID-19 outbreak |
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 |
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![]() Social Data Science Skills: Natural Language Processing, Machine Learning, Deep Learning, Large Scale Data Analysis, Behavioural and Social Science.
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Social Data Science Skills: Ethnography, netnography, Science and Technology studies (STS), development of quantitative ethnographic approaches, computational ethnography. SODAS projects: DISTRACT |
Social Data Science Skills: Images as data, visual methods, cultural analytics, digital network analysis, computer vision. SODAS projects: DISTRACT, DIPLOFACE, Digital Disinformation, |
Social Data Science Skills: Data Mining, Data Analysis, Text as data, Networks, Digital mis- and disinformation. SODAS projects: HOPE |
Social Data Science Skills: Machine learning, deep learning, natural language processing and personal data. SODAS projects: Nation-scale social networks |
Social Data Science Skills: Applied Microeconometrics, Applied Machine Learning, Natural Language Processing, Spatial Data |
Research Assistants
Social Data Science Skills: Digital ethnography, text as data, ethics. SODAS projects: DISTRACT, Cross-national dynamics of risk-related attitudes on social media |
Social Data Science Skills: Social network analysis, Text analysis, Mix methods, Russian social media |
Administration
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Student Assistants
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Fie Madvig Larsen, Master Student in Public Health Science |
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 |