People

SODAS steering committee

Morten Axel Pedersen. Photo: Kelton Minor

Morten Axel Pedersen is Professor of Anthropology and Director of the Copenhagen Center for Social Data Science (SODAS), University of Copenhagen. An anthropologist by training and the author of several ethnographic monographs (most recently Collaborative Damage: An Experimental Ethnography of Chinese Globalization), he has for soon ten years been involved in the development and institutionalization of social data science as a distinct research field and as a graduate degree program. Since 2020, he has been principal investigator of the ERC Advanced Grant funded project DISTRACT: The Political Economy of Distraction in Digitized Denmark.

Social Data Science Skills: Quali-Quantitative Methods, Data Ethics, Social Data Theory, Computational Anthropology

SODAS projects: Critical Algorithm Lab (CALL), DISTRACTThe Dynamics of Political Discourse and Attention during the COVID-19 outbreakCOVID-19 Snapshot MOnitoring in Denmark (COSMO Denmark)

map@sodas.ku.dk
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Ingo Zettler is Deputy Director of SODAS and Professor in Personality and Social Behavior at both the Department of Psychology and SODAS. He is also the Head of the PhD program at SODAS. His main research interests are the role of individual differences for human behavior, dishonesty and other forms of unethical behavior, and the interplay between person and situation factors.

Social Data Science Skills: Online experiments and surveys, psychology of online behavior, data ethics

SODAS projects: COVID-19 Snapshot Monitoring in Denmark (COSMO Denmark)

ingo.zettler@psy.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).

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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Roberta

Roberta Sinatra is Professor in Data Science at SODAS. She also holds visiting positions at IT University of Copenhagen, where she is part of the the Networks, Data, and Society (NERDS) Research group, at the Complexity Science Hub (Austria), and at ISI Foundation (Italy). Her research is at the forefront of network science, data science, and computational social science. She has been awarded with a Sapere Aude grant and a Villum Young Investigator grant to study quantitatively bias in measures and algorithms of scientific impact.

SODAS projects: Bias Explained: Pushing Algorithmic Fairness with Models and Experiments

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


robertasinatra@sodas.ku.dk
www.robertasinatra.com
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Sune Lehmann. Photo: Kelton MinorSune 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. 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: Critical Algorithm Lab (CALL)Cross-national dynamics of risk-related attitudes on social mediaThe Dynamics of Political Discourse and Attention during the COVID-19 outbreakDISTRACT

abl@sodas.ku.dk

Andreas Bjerre NielsenAndreas Bjerre-Nielsen is Associate 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 FabricNation-scale social networks

abn@sodas.ku.dk
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Friedolin Merhout. Photo: Kelton MinorFriedolin Merhout is Head of Studies at the MSc. Social Data Science, substitute member of the steering committee and 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 outbreakCOVID-19 Snapshot Monitoring in Denmark (COSMO Denmark)


fmerhout@sodas.ku.dk
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Professors

David DreyerDavid 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 CoSoeren Kyllingsbaekpenhagen. His main research fields are attention, cognitive control, and cognitive modeling.  

 sk@psy.ku.dk
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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
Robert Böhm's personal webpage
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Associate Professors

Frederik Hjorth. Photo: Kelton MinorFrederik Georg Hjorth is Associate 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 Associate 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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Assistant Professors

Kristoffer Albris. Photo: Kelton MinorKristoffer 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, Risk Attention Ecologies

Gregory Eady, 140x174Gregory 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
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Samantha Breslin. Photo: Kelton MinorSamantha 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
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Hjalmar 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 projects: Solidarity and Volunteering in the Corona CrisisThe Dynamics of Political Discourse and Attention during the COVID-19 outbreakCOVID-19 Snapshot MOnitoring in Denmark (COSMO Denmark)

hc@sodas.ku.dk
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Anna Rogers is an Assistant Professor 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 

Postdoctoral Researchers

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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Kristin Eggeling. Photo: Kelton MinorKristin 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@ifs.ku.dk
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Helene Willadsen. Photo: Kelton MinorHelene Willadsen is a Postdoctoral Researcher at the Department of Economics and SODAS. Her research focuses on investigating preference development in childhood, intergenerational transmission of preferences and gender differences related to preferences and educational choices. 

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

SODAS projects: DISTRACT

hw@sodas.ku.dk
Website
ResearchGate

YevYevgeniy 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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Lau Lilleholt is a Postdoctoral Researcher at both the Department of Psychology, and
the Copenhagen Center for Social Data Science (SODAS). He is also affiliated with the Center for the Experimental-Philosophical Study of Discrimination (CEPDISC) at the Department of Political Science, Aarhus University. His primary research interests are behavioral ethics, judgment and decision-making, behavioral economics, and personality.

Social Data Science Skills: online experiments and surveys, data analysis, machine learning.

SODAS projects: COVID-19 Snapshot Monitoring in Denmark (COSMO Denmark)

llj@psy.ku.dk
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Josefine Bohr Brask is a Postdoctoral Researcher at DTU Compute. Her research lies at the intersection between complex systems & networks, social evolution, and animal social behaviour. Her current main focus is on developing new generative network models for social systems across species.

Social data science skills: network modelling, network analysis, social evolution, animal social systems

jbobr@dtu.dk

Elena

Elena Fernández is a visiting scholar at SODAS, and a Marie Curie Post-doctoral researcher based at the University of Zurich. She holds a background in Humanities (PhD in Hispanic Languages and Literatures, UC Berkeley 2019), and a training in Computational Methods. She primarily works with historic and contemporary multilingual newspapers corpora.

Social data skills: Computational Social Science, Digital Humanities, Media and Communication studies. 

elena.fernandezfernandez@uzh.ch

Benjamin

Ben F. Maier is a Postdoctoral Researcher at DTU Compute and holds a visiting position at SODAS. He is interested in how human behavior influences the spread of infectious diseases and works on finding new ways to efficiently monitor and mitigate outbreaks. To this end he uses methods from statistical physics, complex systems, and network theory that he acquired at Humboldt University of Berlin, University of Utrecht, and Robert Koch Institute, Berlin.

Keywords: Infectious Disease Modeling, Network Science, Big Data Analysis

SODAS projects: HOPE, Nation-scale social networks

benjaminfrankmaier@gmail.com

Sandro

Sandro Sousa is a Postdoctoral Researcher at the Networks, Data, and Society (NERDS) Research group at IT University of Copenhagen and SODAS. His research concentrates on quantitative understanding of urban and social systems through networks, mathematical models and high-dimensional data. He currently works on a project quantifying algorithmic fairness and bias in Science of Science through online randomised controlled experiments and analysis of massive datasets of academic publications.

Social Data Science Skills: Network analysis, Complex systems, Data Analysis, Algorithmic Bias.
SODAS projects: Bias Explained: Pushing Algorithmic Fairness with Models and Experiments

ssou@itu.dk

PhD Students

Yangliu Fan. Photo: Kelton MinorYangliu 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. Photo: Kelton MinorEmil 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 Minor. Photo: Kelton MinorKelton 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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Terne Jakobsen. Photo: Kelton MinorTerne 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.

terne.thorn@sodas.ku.dk  

Eva Iris Otto. Photo: Kelton Minor 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: DISTRACTDIPLOFACEDigital 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
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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 
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Malene HornstrupMalene 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

TobiasTobias 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

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

August Lohse is a PhD student in Social Data Science at SODAS. He holds a MSc in political science from the University of Copenhagen. August's research in concerned with how, when and why different issues become politically salient and who gets to control this issue attention. Other research interest are political behavior, trolling, conspiracy theories and misinformation. The PhD is part of the ERC-funded project DISTRACT: The Political Economy of Attention in Digitized Denmark, with his work mainly focusing on subproject 1: Politics.

Social Data Science Skills: Machine learning, Deep learning, Images-as-data, Computer vision, Text-as-data, Data analysis, Web-scraping, Automation, Timeseries analysis.

                                           SODAS projects: DISTRACT

august.lohse@sodas.ku.dk

Jeppe Søndergaard Johansen is a Phd student at SODAS. He holds a MSc in Economics from UCPH. His current research involves heterogenous treatment effects of education and is part of the new research unit UDDanKvant. He aims his research to address how to more effectively allocate resources in the education space.

Social Data Science Skills: Machine learning, statistical modelling, causal inference and matching algorithms.

jsj@sodas.ku.dk

Ole Teutloff is a PhD fellow in Social Data Science at SODAS and the University of Edinburgh. He holds an MSc in Social Data Science from Oxford University and a Master of Public Policy from the Hertie School of Governance in Berlin. In his research, he investigates the impact of digital technologies on labour markets. He uses a mix of data science methods to create data-driven insights on skill development, job polarisation and income inequality in times of technological disruption.

Skills: Data Science for Policy-making, Network Science, Web Scraping, Applied Machine Learning, Natural Language Processing

ole.teutloff@sodas.ku.dk
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Magnus Lindgaard Nielsen is a PhD student at SODAS. He holds a BSc in Economics and is currently finishing his Master’s degree in Economics alongside his PhD studies. His research focuses on explaining how our social networks influence a diverse range of life outcomes utilizing registry data and a combination of predictive modelling and causal inference using natural experiments. The PhD forms part of the project Nation-scale social networks.

Social Data Science Skills: Machine learning, microeconometrics, computational social science, causal inference.

 SODAS projects: Nation-scale social networks

magnus.nielsen@sodas.ku.dk

Johanna Einsiedler is a PhD student in Social Data Science. She holds an MSc in Economics from the Vienna University of Economics and Business. In her research she analyses registry data by using network models and applying machine learning methods in order to infer causal relationships and make predictions. The PhD project is part of the nation-scale networks project.

Social Data Science Skills: Machine learning, microeconometrics, network science, sensor data analysis, computational social science.

SODAS projects: Nation-scale social networks

johanna.einsiedler@sodas.ku.dk

Simon Ullrich is a PhD student in the “Risk Attention Ecologies” project. He studies how actors connect the climate crisis and the coronavirus situation in a research approach that combines digital methods, SNA, and netnography.

Social Data Skills: ethnography, netnography, digital methods, STS, problematization analysis

SODAS project: Risk Attention Ecologies

simon.ullrich@sodas.ku.dk

Sofie Læbo Astrupgaard is a PhD student at SODAS. She has a BSc in Anthropology, and is currently finishing her Master’s degree in Social Data Science alongside her PhD studies. Sofie’s research focuses on practices and regulations related to use of digital devices in workplaces and schools. Her PhD is part of the ERC-funded project DISTRACT: The Political Economy of Attention in Digitized Denmark, where she is part of Subproject 4 – Regulating Distraction.

Social Data Skills: Natural language processing, digital network analyses, large scale data analysis, ethnography, development of computational ethnographic approaches.

SODAS project: DISTRACT

sofiela@sodas.ku.dk

Charles de Dampierre is a business graduate of the Grande Ecole of HEC Paris and holds a master's degree in Cognitive Science from the Ecole Normale Supérieure (ENS) in Paris. Today, he is a PhD student at ENS and a data engineer at the medialab of SciencePo.

His work mainly focuses on mapping political & cultural information on the Web using Natural Language Processing & Graph Algorithms, as well as developing a new generation of Search Engine.

After academic exchanges at Keio University in Tokyo and Tsinghua University in Beijing, Charles became passionate about Japanese and Chinese cultures.

charles.de-dampierre@hec.edu

Simon Polichinel von der Maase is a PhD fellow at the department of Political Science, University of Copenhagen, and affiliated with SODAS. He holds a BA and a MSc in Political Science from the University of Copenhagen. As part of the project Bodies as Battleground: Gender Images and International Security his research examines war-time imagery through the use of Deep Learning and Computer Vision. He is also involved in various efforts pertaining to forecasting violent conflicts (at highly disaggregated tempo-spatial levels) using machine/deep learning. 

Social Data Science Skills: Bayesian Methods, Machine Learning, Deep Learning, images-as-data, Computer Vision, Forecasting.

spm@ifs.ku.dk

Ella Jacobsen is a Ph.D. student at the math department of the University of Copenhagen in collaboration with SODAS. She holds a M.Sc. in Physics from the University of Copenhagen. At SODAS, she is affiliated with the nation-scale project, with the goal of applying causal inference techniques on Danish registry data.

Social data science skills: machine learning, scraping, causal inference techniques.

elja@math.ku.dk

Marilena Hohmann is a PhD Student in Social Data Science at SODAS and the Edinburgh Center for Data, Culture & Society. Drawing on a combination of network science methods and political science theory, she studies opinion dynamics and political polarization in social networks. Her PhD project quantitatively investigates ideological and affective aspects of political polarization using large-scale social media data. Marilena holds an MSc in Social Data Science (University of Copenhagen), and a BA in Media and Communication Studies (Freie Universität Berlin and Universidad Carlos III de Madrid).

Social Data Science Skills: quantitative network analysis, large-scale data analysis, social media data, computational communication studies

marilena.hohmann@sodas.ku.dk

Picture of Yanmeng

Yanmeng Xing is a Ph.D. candidate from school of system science, Beijing Normal University (China), and a guest Ph.D. at the Networks, Data, and Society (NERDS) Research group at IT University of Copenhagen. His research is focused on quantifying the career dynamics in the science system, e.g., academic dropout, credit evolution, and mentorship, through the analysis of big bibliometrics data.

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


yanmengxing@mail.bnu.edu.cn
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Data Stewards

Picture of JosephJoseph Burgess is a Data Steward at SODAS, assisting faculty through the Social Science Data Lab in data management and compliance. In his research support work, he prioritizes infrastructure for storage of research projects and datasets, setting up data management agreements, compliance, and archival. Outside of research support, he is interested in the intersection of election administration and social data science.

Social data science skills: Data management and long-term archival, data privacy and ethics, online surveys, polling, and non-probability sampling.

joseph.burgess@sodas.ku.dk

Picture of Yani

Yani Kartalis, is a postdoctoral researcher at the Copenhagen Center for Social Data Science (SODAS) and a Data Steward at the Center’s Social Science Data Lab. His research interests lie in the fields of representation, parliaments, political parties, and data social science more broadly. He uses a multitude of parliamentary data to examine the ways representatives use parliamentary tools to represent their constituents. In the DataLab he is responsible for building social data science research capacity at the Faculty of Social Sciences and foster better data management practices. His tasks include assisting the faculty with various individual research tasks, from data mining to analysis, as well as facilitating collaboration among faculty members.

Social Data Science Skills: Text-as-Data, Natural Language Processing, Data mining (Web Scraping, OCR) and analysis (Quantitative methods, Modelling)

Research Assistants


Administration

Picture of KarolineKaroline Husbond Andersen is interim administrator at SODAS

adm@sodas.ku.dk
kha@sodas.ku.dk

Louise Marie Lausten is Study Administrator of Social Data Science. 

lml@sodas.ku.dk 
Tel: (+45) 3533 2949

Student Assistants 

Jonas Pedersen. Photo: Kelton MinorJonas Skjold Raaschou-Pedersen, Bachelor Student in Economics.

jonas.raaschou@sodas.ku.dk     

Emilie Munch Gregersen. Photo: Kelton MinorEmilie Munch-Gregersen, Master Student in Social Data Science.

emilie.m.gregersen@sodas.ku.dk

Asger Balsby Kromand, Bachelor student in Sociology

crm406@sodas.ku.dk

Sofie Grave, Bachelor student in Anthropology

dnx605@sodas.ku.dk

billede af Annika Annika Johanne Bonk, Master Student in Social Data Science

annikajb@sodas.ku.dk

picture of PeterPeter Gregory Mehler, Master Student in Data Science, ITU 

petermehler@sodas.ku.dk

picture of magnusMagnus Nørtoft, Bachelor Student in Anthropology, KU

magnusnoertoft@sodas.ku.dk

picture of frederikFrederik Winther Barkholt, Bachelor Student in Sociology, KU

frederik.barkholt@sodas.ku.dk

picture of frederikFrederik Bredgaard, Master Student in Social Data Science, KU

fb@sodas.ku.dk

picture of mischaMischa Püschl Bennedsen, Bachelor Student in Machine Learning and Data Science, KU

ntz817@econ.ku.dk

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Anders Weile Larsen, Masters student in Social Data Science, KU

clh429@alumni.ku.dk

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Tobias Gårdhus, Masters student in Sociology, KU

tpg@soc.ku.dk

picture of davidDavid Broomham, SDS student assistant, Master Student in Social Data Science, KU

david.brommham@samf.ku.dk

picture of CamilleCamille Lumbye Mather, SDS student assistant, Bachelor Student in Sociology, KU

camille.mather@samf.ku.dk

Interns

picture of CecilieCecilie Fenja Strandsbjerg, Master Student in Psychology, KU

cecilie.strandsbjerg@psy.ku.dk

SODAS Fellows

Miriam Wüst is an associate professor at the Department of Economics, UCPH, and affiliated with VIVE-The Danish National Center for Social Science Research. Miriam’s work focuses on understanding childhood skill formation and the importance and interplay of public and private investments in this process. This research agenda involves bringing new data-administrative, survey, historical-to the table and make them accessible.

Data skills: Combining survey and register data, quasi-experiments in big data

miriam.w@econ.ku.dk

Laura Alessandretti is Assistant Professor at the Technical University of Denmark and she hold a visiting position at SODAS. She uses large-scale digital data to study aspects of human behaviour, exploiting techniques from physics of complex systems, statistics, and machine learning. Key topics of interest include: Human Mobility, Digital Markets, Smartphone application usage

keywords: Human Mobility, Blockchain-based ecosystems, Network Science, Spatio-temporal data

lauale@dtu.dk
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https://laura.alessandretti.com

Nikolaj Harmon is Associate Professor of Economics at the University of Copenhagen. He studies a wide range of labor market topics, including job search, gender inequality and selection into politics and public service. His research combines novel data sources with state-of-the art causal inference methods and machine learning.

Social data science skills: Causal inference, Administrative data, Machine learning in the social sciences 

nikolaj.harmon@econ.ku.dk
https://web.econ.ku.dk/nharmon/
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Anne Sofie Beck Knudsen is an Assistant Professor at the Department of Economics. Her research focuses on the evolution of cultural norms and their impact on the economy. She uses historical data to study the cultural and economic behavior of individuals who lived through periods of rapid industrialization, urbanization, and mass migration.

Social Data Science Skills: Historical administrative data, historical text (and first names) as data, surveys, spatial data

asbk@econ.ku.dk