Medarbejdere

Morten Axel Pedersen is Professor of Anthropology and the 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), 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

Ingo Zettler is the 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-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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Webpage

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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Google Scholar

Sune Lehmann is 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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Google Scholar
Twitter

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

Andreas 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 Fabric, Nation-scale social networks

abn@sodas.ku.dk
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Webpage
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

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
ResearchGate
Twitter

Frederik 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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Hjalmar Alexander Bang Carlsen is an Associate Professor at SODAS. He 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
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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, Risk Attention Ecologies

Friedolin Merhout is Head of Studies at the MSc. Social Data Science 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 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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Clara Vandeweerdt is an Assistant Professor at SODAS and the Department of Political Science. Her research areas are political communication and political psychology, with a focus on on climate change. In particular, she studies how social identities inform people's political opinions. She has also used machine learning to understand how political talk radio content reacts to major events, and natural language processing methods to analyze the identities of people on Twitter.

Social Data Science Skills: causal identification, machine learning/natural language processing, Bayesian statistics, web scraping

clara.vandeweerdt@ifs.ku.dk 

Yevgeniy Golovchenko is an Assistant Professor 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 an Assistant Professor 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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ResearchGate
Twitter
ORCID

Rosa Lavelle-Hill is an assistant professor of social data science at both SODAS and the Department of Psychology. Her research interests lie in combining psychological theory and big data/machine learning methodologies to better understand human behaviour, with applications in social good domains. Rosa is particularly interested in how data-driven methods can help to inform or challenge existing theories in the social sciences.

Social Data Science Skills: Machine Learning, XAI, Big Data 

SODAS projects: Understanding Human Behaviour: From Prediction to Theory.

rla@psy.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@ifs.ku.dk
Twitter

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

SODAS projects: DISTRACT

hw@sodas.ku.dk
Website
ResearchGate

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

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 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

Kelton Minor is a Postdoctoral Research Scientist at Columbia University’s Data Science Institute (DSI), researching human adaptation to planetary risks and climate stressors. Kelton’s current research applies interdisciplinary methods from spatial data science and computational social science to analyze complex human responses to global environmental changes in the earth’s atmosphere, biosphere and cybersphere. 

He serves as a member of The Lancet Countdown on Health and Climate Change’s Working Group 1, and is developing social media-based indicators to monitor expressed emotional responses to local climate extremes across nearly every county globally. Kelton received a Ph.D. in Planetary Social and Behavioral Data Science at SODAS and was a visiting researcher at the University of California Berkeley’s Global Policy Laboratory. He previously was a US-Denmark Fulbright grant recipient and received his M.S. in Human Environment Relations from Cornell University.

kelton.minor@columbia.edu
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ResearchGate

Nicholas Skar-Gisling is a Postdoctoral Researcher SODAS. Nicholas studies the "social" interactions between trading algorithms in modern financial markets, which at first glance might seem paradoxical, as these algorithms are traditionally not seen as having the capacity for social interaction. However, the way in which they interact with each other and make decisions can have social-like characteristics. To gain a better understanding of these interactions, Nicholas simulates a financial market using an agent based simulation in which the agents represent the various actors present in financial markets. Extending this, Nicholas works on adding traders in to the market that communicate about their trading intentions in order to simulate “game stop” like events.

Social Data Science Skills: Agent based models, network models, finance and machine learning 

nisg@soc.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 

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 
LinkedIn

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

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

Malene Hornstrup Jespersen is a PhD student in Social Data Science. She holds a Bachelor’s degree in Anthropology and a Master’s degree in It and Cognition. Her research focuses on 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

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

SODAS project: DISTRACT

sofiela@sodas.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 University of Edinburgh. 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
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Website

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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Web

Zoe Horlacher is a PhD student at SODAS. She holds an MSc in Cognitive and Decision Sciences from University College London and an MA (Honours) in Sustainable Development from the University of St Andrews. Her main research interests lie at the intersection of environmental psychological theory and social data science. Zoe is specifically interested in using natural language processing to create data-driven insights into cross-cultural sustainability perceptions, as well as pro-environmental personality traits and emotions.

Social Data Science skills: Data science for environmental psychology, natural language processing, cognitive science, quali-quantitative methodology.

zoho@sodas.ku.dk

Daniel Juhász Vigild is a PhD student as SODAS and ROCKWOOL Foundation Research Unit. He holds a Msc. in Business Analytics from DTU. 
His research examines the digitalization of the public sector, with a focus on quantifying the productivity enhancements and potential social costs of implementing digital initiatives. 
He is currently examining the effect of implementing POL-INTEL, an intelligence-led policing tool implemented in Denmark in 2018.

Social Data Science skills: Machine learning, statistics, causal inference and visualization.

djv@rff.dk

Jacob Aarup Dalsgaard is a Phd student at SODAS. He holds a BSc in Cognitive Science and Mathematics from Aarhus University and an MSc in Data Science from the IT University of Copenhagen. His research focusses on algorithmic fairness in a Science of Science context and aims to develop new models to understand inequality and improve the fairness of algorithms through de-biased impact measures.
 
SODAS projects: BiasExplained: Pushing Algorithmic Fairness with Models and Experiments
 
Social Data Science Skills: Algorithmic Fairness, Recommender Systems, Network Science, Information Retrieval, Deep Learning.

jad@sodas.ku.dk

Joseph Burgess is a Data Steward at SODAS and the Team Leader at the Social Science Data Lab, which assists faculty 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

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)

kartalisie@sodas.ku.dk

Thomas Eatmon is a Research Data Management Advisor at SODAS. His professional background includes thesis research supervision as well as administration of graduate research mentorship and evaluation.  He is currently leading a pilot project to develop guidance and support for SAMF master's thesis students to ensure ethical considerations, confidentiality, privacy, and data protection standards are upheld for empirical research involving human participants and personal data.

Social Data Science Skills: Data Ethics, Data Privacy and Security, Research Design, Data Analysis, and Interdisciplinary Collaboration.

thomas@sodas.ku.dk

Siri Völker is a Data Manager at the Social Sciences Data Lab. She has a background in social sciences research and research data management, and assists the researchers at the Faculty of Social Sciences in managing quantitative as well as qualitative research data. Outside of research data management (RDM) support, she is interested in social movements and critical data studies.
 
Skills: Research Data Management, Data Management Plans (DMPs), Data Ethics, Data Sharing, and Archiving.

siri@sodas.ku.dk

Christian Holm is a Data Manager at SODAS and holds a MSc in Sociology from UCPH. His professional background includes working with information security and risk management in large organizations. He is currently working on conducting ISO-27001 risk assessments across faculty, while also assisting researchers with various aspects of information security.

Social data science skills: Data protection, information security, compliance, risk management, data analysis

chho@sodas.ku.dk

Emilie Munch-Gregersen, M.Sc. in Social Data Science, KU.

emilie.m.gregersen@sodas.ku.dk

Anna Maria Fjordbøge is Center Coordinator at SODAS. M.Sc. in Anthropology.

adm@sodas.ku.dk
amf@sodas.ku.dk

Louise-Marie Lyngbo Lausten is the Center Administrator at SODAS.

lml@sodas.ku.dk 
Tel: (+45) 3533 2949

Chila Nazeya Firouzi is the Study Administrator of the MSc in Social Data Science.

cnf@samf.ku.dk

Martin Lauritzen, Master student in Security Risk Management, KU.

qsr340@sodas.ku.dk

Sofie Grave, Bachelor student in Anthropology, KU.

dnx605@sodas.ku.dk

Annika Johanne Bonk, Master student in Social Data Science, KU.

annikajb@sodas.ku.dk

Benjamin Kohler, Master student in Social Data Science, KU.

Assistant at Nation-scale social networks.

beal@sodas.ku.dk

Magnus Nørtoft, Bachelor student in Anthropology, KU.

magnusnoertoft@sodas.ku.dk

Frederik Winther Barkholt, Master student in Social Data Science, KU.

frederik.barkholt@sodas.ku.dk

Frederik Bredgaard, Master student in Social Data Science, KU.

fb@sodas.ku.dk

Mischa Püschl Bennedsen, Bachelor student in Machine Learning and Data Science, KU.

ntz817@econ.ku.dk

Tobias Gårdhus, Masters student in Sociology, KU.

tpg@soc.ku.dk

Sofia Tang Nussbaumer, Bachelor student in Psychology, KU.

vzf646@sodas.ku.dk

Asger Balsby Kromand, Master student in Social Data Science, KU.

crm406@sodas.ku.dk

David Broomham, SDS student assistant, Master Student in Social Data Science, KU.

david.brommham@samf.ku.dk

Camille Lumbye Mather, SDS student assistant, Bachelor Student in Sociology, KU.

camille.mather@samf.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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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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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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