Medarbejdere

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)

map@sodas.ku.dk
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Academia.edu

Rebecca Adler-Nissen is Deputy Director of SODAS and 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).

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

ran@sodas.ku.dk
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Webpage

Andreas Bjerre-Nielsen is Head of Studies at the MSc. Social Data Sicence and Assistant Professor at Department of Economics and 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 projects: Social Fabric, Nation-scale social networks

abn@sodas.ku.dk
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Webpage
Twitter

Sune Lehmann is a Professor of Complexity and Network Science at the Technical University of Denmark. He is also an Adjunct Professor of Sociology at the University of Copenhagen. Sune's work focuses on 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, Nation-scale social networks, HOPE

sljo@dtu.dk
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Anders 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: 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

abl@sodas.ku.dk

Robert Böhm  is a Professor of Applied Social Psychology and Behavioral Science at the University of Copenhagen. His research focuses on human behavior in various social interactions, such as in intergroup conflict and violence, health behavior, and human-computer interaction.

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)

rb@sodas.ku.dk
www.robertboehm.info
ResearchGate
Twitter

David Dreyer Lassen is Prorector of research at the University of Copenhagen and professor of Economics. He has received a Sapere Aude Research Leader grant (2011-5), an ERC Consolidator Grant (2013-7), and a 2016 Elite Researcher Award from the Danish Ministry of Education and Research. Most recently, he is co-PI of the ERC Advanced Grant project DISTRACT and the co-recipient of a Villum Synergy Grant. He is past Chairman of the Independent Research Fund Denmark, was Deputy Director of DNRF Center for Economic Behavior and Inequality, and was director of SODAS 2016-2020.

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
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Søren Kyllingsbæk is Professor in Cognitive Psychology at the University of Copenhagen. His main research fields are attention, cognitive control, and cognitive modeling.  

 sk@psy.ku.dk
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ResearchGate

Frederik Georg 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

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

fh@ifs.ku.dk
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Kristoffer Albris is an Assistant Professor at the Department of Anthropology and SODAS. His research focuses on climate adaptation, disaster politics, crisis informatics, digital ethnography, data governance and attention in the digital age.

Social Data Science Skills: Digital ethnography, digital methods, text as data, data ethics, GDPR

SODAS projects: Data Governance after GDPR, DISTRACT

kristoffer.albris@sodas.ku.dk
ResearchGate
ORCID

Friedolin Merhout is an Assistant Professor in the Department of Sociology. 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.

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)

fmerhout@sodas.ku.dk
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ORCID
Twitter

Gregory Eady is an Assistant Professor in the Department of Political Science. His substantive research agenda focuses on political behavior on social media, and his methodological work on developing quantitative methods and software for analyzing social media and public opinion survey data.

Social Data Science Skills: Social media data analysis, scaling and measurement, machine learning for the social sciences

gregory.eady@sodas.ku.dk
Webpage
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Samantha Breslin is an Assistant Professor in the Department of Anthropology. Her research centres the production of norms and values in and through computing and data cultures and technologies, particularly in relation to political economy and gender.

Social Data Science Skills: Feminist technology studies, Data ethics, Ethnography of computing cultures, Human computer interaction.

SODAS projects: The Dynamics of Political Discourse and Attention during the COVID-19 outbreak

samantha.breslin@sodas.ku.dk
ResearchGate
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Hjalmar 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 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)

hc@sodas.ku.dk
Google Scholar

Anna Sapienza is a Postdoctoral Researcher at the Copenhagen Center for Social Data Science (SODAS). Her research is focused on modelling human behaviour in online social environments, e.g., online social networks, mobile applications, and games, through the analysis of high-dimensional data.

Social Data Science Skills: Online Social Behaviour, Machine Learning, Data Analysis, Social Network Analysis

SODAS projects: DISTRACT

ansa@sodas.ku.dk
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Patrice Wangen is a Postdoctoral Researcher at the Department of Political Science. His research focuses on political media analysis, diplomacy, and international responses to armed conflicts. He is particularly interested in the methodological intersection between post-structuralist discourse theory and computational social science.

Social Data Science Skills: Quantitative Text Analysis, Web-Scraping, Machine Learning in the Social Sciences, Twitter data, Discourse Theory

SODAS projects: DIPLOFACE

patrice.wangen@sodas.ku.dk

Kristin Anabel Eggeling is a Postdoctoral Researcher at the Department of Political Science at the University of Copenhagen. Her research interests are in practice theory, identity politics, diplomacy, interpretive methods and methodologies, ethnography, and fieldwork in International Relations. She currently works on an ERC-funded research project led by Prof Rebecca Adler-Nissen on diplomatic practices in the European Union.

Social Data Science Skills: Digital International Relations, ethnographic and interpretive analysis of digital data, practice methodologies

SODAS projects: DIPLOFACE

kristin.eggeling@sodas.ku.dk
Academia

Social Data Science Skills: Field Experiments, Surveys, Preferences of children, combining survey and register data

SODAS projects: DISTRACT

hw@sodas.ku.dk
Website
ResearchGate

Anna Rogers is a Postdoctoral Researcher at SODAS. Her main research area is Natural Language Processing. She works on interpretability and evaluation of deep learning models, as well as their applications in computational social science.

Social Data Science Skills: natural language processing, computational linguistics, Russian social media

arogers@sodas.ku.dk 

Snorre Frid-Nielsen is a Postdoctoral Researcher at SODAS. Snorre is a Data Steward at the SODAS DataLab, where he is responsible for building social data science research capacity at the Faculty of Social Sciences. His tasks include assisting the faculty with various social data science tasks, from web scraping to automated content analysis, as well as facilitating collaboration across department and faculty boundaries. Snorre's research concerns the use of machine learning and big data to understand and predict behavior in a public policy context, with an emphasis on algorithmic fairness and transparency.

Social data science skills: Recommender Systems, Quantitative Text Analysis, Supervised and Unsupervised Machine Learning; Algorithmic Fairness and Transparency; Network Analysis

snorre.frid-nielsen@sodas.ku.dk
Researchgate
Google scholar

Snorre Ralund is a Data Steward at the SODAS DataLab, where he is responsible for building social data science research capacity at the Faculty of Social Sciences. His tasks include assisting the faculty with various social data science tasks, from web scraping to automated content analysis, as well as facilitating collaboration across department and faculty boundaries. 

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

jser@econ.ku.dk

Yevgeniy Golovchenko is a Postdoctoral Researcher at SODAS and 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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Google Scholar
Twitter

Kristoffer 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 

kg@sodas.ku.dk

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.

Social Data Science Skills: Machine learning for causal inference, social network dynamics, large scale data analysis, web scraping.

asa@sodas.ku.dk 

Yangliu Fan is a PhD student at SODAS. She holds a BSc and a MA. Her proposed PhD work investigates the use of social media data in social science research.

Social Data Science Skills: Media studies, Social science, Mixed methods, Data analysis.

yangliufan@sodas.ku.dk 

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

SODAS projects: The Dynamics of Political Discourse and Attention during the COVID-19 outbreak

thyge.enggaard@sodas.ku.dk 

Emil Chrisander inspect traditional economic problems through the lenses of machine learning and data mining. His current work seeks to reduce dropout at higher education by implementing AI.

Social Data Science Skills: Applied machine learning, Educational Economics, Mechanism Design, and Data Mining

emil.chrisander@econ.ku.dk

Kelton Ray Minor is a PhD student at SODAS and has an MSc in human environment relations from Cornell University. His research examines the human effects of changes in technology and the environment, in order to inform policy, planning and design. Key interests include: climate change impacts, human adaptation, environmental perception, attention and learning.

Social Data Science Skills: Environmental data science, computational social science, geospatial analysis, remote sensing, climate econometrics, environmental psychology, social ecology, data visualization

kmi@samf.ku.dk
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Twitter
ResearchGate

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. 

terne.thorn@sodas.ku.dk  

Eva Iris Otto studies how Danish digital companies in the design, coding and sales of digital products transform user-attention into economic value. She studies how digital companies navigate different markets and actors, and how these companies build on a digital infrastructure which they concurrently expand with their products. In that way digital companies form part of the structures that facilitate and shape citizens' everyday interactions with each other, companies and states. The phd forms part of the ERC-funded project DISTRACT. Her study builds on long term ethnographic fieldwork within digital agencies in Denmark and the development of online-offline methods that trace digital work across offline and online situations.

Social Data Science Skills: Ethnography, netnography, Science and Technology studies (STS), development of quantitative ethnographic approaches, computational ethnography.

SODAS projects: DISTRACT 

eio@sodas.ku.dk  

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.

SODAS projects: DISTRACT, DIPLOFACE, Digital Disinformation,

ahkm@sodas.ku.dk 
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Nicklas Johansen is a PhD fellow in Social Data Science at University of Copenhagen. His research focuses on social behaviour in democratic states during the COVID-19 epidemic, using methods from economics and data science. He has been studying mobility in relation to governmental trust and estimatation of digital mis- and disinformation. His research is funded by the Carlsberg Foundation as part of the HOPE project.

Social Data Science Skills: Data Mining, Data Analysis, Text as data, Networks, Digital mis- and disinformation.

SODAS projects: HOPE

nj@sodas.ku.dk
LinkedIn
Website

Germans Savčišens is a PhD at DTU Compute. His research focuses on representations of social behaviour and how such representations can be used to project life outcomes (e.g. income, education, health outcomes, unemployment, and etc.). He holds a BSc in Human-Computer Interaction from Aalborg University and a MSc in Human-centered Artificial intelligence from DTU. 

Social Data Science Skills: Machine learning, deep learning, natural language processing and personal data. 

SODAS projects: Nation-scale social networks

gersa@dtu.dk 
LinkedIn

Marie Gram Pietraszek is a PhD student at the Department of Economics, and she holds an MSc in Economics from University of Copenhagen. Marie’s research interests are labor economics, educational economics and public transportation.

Social Data Science Skills: Applied Microeconometrics, Applied Machine Learning, Natural Language Processing, Spatial Data

mgp@econ.ku.dk

Malene Hornstrup Jespersen is a PhD student in Social Data Science. She holds a BSc in Anthropology and is currently finishing her Master’s degree in It and Cognition alongside her PhD studies. Her research focuses on attentionality and digital disconnection practices as well as discourses and values tied to these practices. The PhD forms part of the ERC-funded project DISTRACT: The Political Economy of Attention in Digitized Denmark.

Social Data Science Skills: Natural language processing, large scale data analysis, cognitive science, ethnography, and computational social science.

SODAS projects: DISTRACT

malenehj@sodas.ku.dk

Tobias Gabel Christiansen is a PhD student at the Department of Economics. He holds an M.Phil in Economic Research from University of Cambridge. Tobias is employed by The Danish Ministry of Taxation, and his research aims at improving the efficiency of tax audits using methods at the intersection of econometrics and machine learning.

Social Data Science Skills: Machine Learning for Causal Inference, Machine Learning in Econometrics, Heterogenous Treatment Effects, Tax Administration

tgc@econ.ku.dk

Benjamin Skjold Frederiksen is a PhD at DTU Compute. His research focuses on dynamical social networks and how information about an individual's social network contributes to understanding the variability in key life outcomes such as wealth, education, crime, and employment trajectories. He holds a BSc in Actuarial Mathematics from the University of Copenhagen and a MSc in Mathematical Modelling and Computation from the Technical University of Denmark.

Social Data Science skills: Social network analysis, Machine learning, and behavioral economics

SODAS projects: Nation-scale social networks

bskfr@dtu.dk

Peter Edsberg Møllgaard is a PhD at DTU Compute. His research focuses on understanding human behaviour and mobility through big data using machine learning. One of his major aims is to better understand the behavioural changes that has happened during Covid-19. Peter holds a BSc in Mathematics and Technology from The Technical University of Denmark and a MSc in Mathematical Modelling and Computation from the Technical University of Denmark. 

Social Data Science skills: Machine Learning, Deep Learning, Data Analysis and Human Mobility Networks.

SODAS projects: HOPE

petem@dtu.dk

Esben Brøgger Lemminger is a Research Assistant at SODAS, and holds a Bachelor’s degree in Sociology from UCPH. His research interests include social network analysis, applied machine learning, and how contemporary, computational methods can be used to explore social issues from a sociological point of view.

Social Data Science Skills: Web Scraping (both API and HTML parsing), Supervised and Unsupervised Machine Learning, and Network Analysis.

esbenbl@sodas.ku.dk 

Asger Thomsen is a research assistant at SODAS, with a past in the science of religion and a bachelor degree in Sociology. His interests include social networks and data analysis. As a data driven sociologist his interest is a basic sociological one, what constitutes social life?

Social data Science skills: Web scraping and cleaning, social network analysis, Data analysis, and machine learning.

SODAS projects: DISTRACT

aht@sodas.ku.dk 

Katrine Skovdal Herold is Center Administrator at SODAS

katrine.herold@sodas.ku.dk
Tel: (+45) 3532 9504

Louise Marie Lausten is Study Administrator of Social Data Science. 

lml@sodas.ku.dk 
Tel: (+45) 3533 2949

Jonas Skjold Raaschou-Pedersen, Bachelor Student in Economics.

jonas.raaschou@sodas.ku.dk     

Frederik Carl Windfeld, Bachelor Student in Political Science

frederikcw@sodas.ku.dk

Sofie Læbo Astrupgaard, Master Student in Social Data Science

sofiela@sodas.ku.dk 

Cathrine Valentin Kjær, Master Student in Political Science

cathrinevk@sodas.ku.dk 

Sara Vera Marjanovic, Master Student in IT and Cognition

saravm@sodas.ku.dk 

Emilie Munch-Gregersen, Master Student in Social Data Science.

emilie.m.gregersen@sodas.ku.dk

Tobias Priesholm Gårdhus, Master Student in Sociology. 

tpg@sodas.ku.dk 
Twitter

Jonathan Holm Salka, Bachelor Student in Sociology.

jhs@sodas.ku.dk 

Clara Rosa Sandbye, Master Student in Anthropology

crs@sodas.ku.dk 

Fie Madvig Larsen, Master Student in Public Health Science

fie.madvig.larsen@sodas.ku.dk

Ida Thyboe, Master Student

ida.thyboe@sodas.ku.dk

August Lohse, Master Student in Political Science

august.lohse@sodas.ku.dk

Naja Algreen Suhr

naja.a.suhr@sodas.ku.dk

Amalia Charlotte Pape

amalia.pape@sodas.ku.dk

Roberta Sinatra is Associate Professor at IT University of Copenhagen, and holds visiting positions at the Complexity Science Hub (Austria) and at SODAS. Her research is at the forefront of network science, data science and computational social science, Her work has been published in general audience journals such as Nature and Science, and has been featured in The New York Times and The Economist, among other major media outlets. She has been awarded with the Complex Systems Society Junior prize, the DPG Young Scientist Award for Socio- and Econophysics, a Sapere Aude grant, and a Villum Young Investigator grant.

Social Data Science Skills: Network analysis, Complex systems, Data Analysis, Algorithmic Bias.

Twitter
rsin@itu.dk

Simon Westergaard Lex is a tenure track Assistant Professor of Social Anthropology at the University of Copenhagen. Simon works on sustainable transitions and the design of “smart” urban infrastructures.

SODAS Data Science Skills: Quali-quantitative methods, human-computer interaction, digital infrastructures, social data analysis, interdisciplinary collaboration

LinkedIn
simon.lex@anthro.ku.dk