Anders Søgaard is a Professor at the University of Copenhagen , affiliated with both the Department of Computer Science and the Department of Communication. His research bridges Natural Language Processing and Machine Learning with a focus on AI ethics , explainability , and human-AI interaction . Primary Affiliation: Department of Computer Science, University of Copenhagen Secondary Affiliation: Department of Communication, University of Copenhagen Email: soegaard@di.ku.dk, soegaard@hum.ku.dk Research Interests His work spans Natural Language Processing , Machine Learning , and AI ethics , with recent studies addressing: Trustworthiness in AI systems Explainable AI (XAI) frameworks Multilingual model fairness and alignment Human-AI collaboration in reasoning tasks Ethical implications of social robots Mental health analytics using ML Recent Publications His 2025 output highlights trends in: AI ethics (e.g., fairness metrics, trustworthy systems) Multilingual model analysis (knowledge retention, cross-lingual transfer) Human-centric AI (gaze data, cultural considerations) Applications in healthcare and social good
Pepa Kostadinova Atanasova is a Tenure Track Assistant Professor in the Natural Language Processing Section of the Department of Computer Science , University of Copenhagen. She co-leads the CopeNLU group with Isabelle Augenstein and has special teaching duties for industry practitioners. Research Interests: Interpretability of Language Models Explainability Methods Factuality in Language Models Parametric Knowledge Analysis Human-AI Alignment Trustworthy AI Scientific Awards: Marie Skłodowska-Curie Fellowship ELLIS Best PhD Thesis Award Informatics Europe Best PhD Thesis Award Collaborations: Active in interdisciplinary research, including partnerships with Meta and Google, and a postdoctoral project combining language model explanations with trading behavior analysis.
Marie Sandberg is an Associate Professor in the Promotion Programme at the Saxo Institute, University of Copenhagen. She is affiliated with the Faculty of Humanities and participates in HUM:Global initiatives focused on interdisciplinary global studies. Her research emphasizes ethnological analyses of migration, borders, and refugee policies, particularly exploring temporal governance, state-civil society interactions, and the paradoxes of welfare-state frameworks. Her work examines the everyday practices of refugees and volunteers in contexts of temporary protection status, as well as the ethical challenges in digital migration studies. She contributes to debates on deterrence policies, repatriation agendas, and the precarity of academic labor. Sandberg’s research methodologies often combine ethnography with critical analysis of policy frameworks. Key Research Themes: Refugee temporariness, border studies, humanitarianism, and academic precarity Professional Roles: Member of the Professional Project Group (PPG) in HUM:Global, coordinating interdisciplinary projects Geographic Focus: Europe, with emphasis on Denmark, Poland, and Germany Recent publications highlight her focus on the interplay between state policies and grassroots efforts, as well as the temporal dimensions of displacement. She has co-edited special issues on migration and authored studies on volunteerism in refugee relief work.
Roberta Sinatra is a Professor in Social Data Science at the University of Copenhagen, with part-time affiliations at ITU Copenhagen, ISI Foundation (Italy), and CSH (Austria). She co-founded the NERDS Research Group at ITU and co-leads the Pioneer Centre for AI in Copenhagen. Research Interests: Her work spans computational social science, network science, and data science, focusing on fairness in AI, scientific careers, and human mobility. Recent projects include analyzing child protection algorithms and modeling urban bicycle networks. Scientific Awards: ERC Consolidator Grant Villum Young Investigator Grant Complex Systems Society Junior Prize DPG Young Scientist Award for Socio- and Econophysics Sapere Aude: Starting Grant Publications: Her research, often in top-tier venues like Nature and Science , explores interdisciplinary themes, including AI ethics, gender disparities in science, and social network dynamics. Labs & Teams: She leads research initiatives at the Center for Social Data Science (KU) and co-founded the NERDS Research Group at ITU, fostering international collaboration in network science and AI ethics.
Christian Kaarup Baron is an External Lecturer in the Department of Pharmacy at the University of Copenhagen, with research spanning interdisciplinary domains at the intersection of scientific humanities and environmental studies. His core research areas include: History and Philosophy of Science : Critical analysis of epistemic values in paleontological debates, exemplified by work on the Burgess Shale fossil site's scientific interpretations Climate Science : Empirical investigations into climate impacts through the African Monsoon Multidisciplinary Analyses (AMMA) project, focusing on West African environmental systems Baron's 2009 publications reveal a distinctive scholarly trajectory bridging conceptual frameworks from biological sciences with climate modeling methodologies, demonstrating consistent engagement with methodological rigor across disparate scientific fields despite limited output volume.
Laura Feldt is Professor in the Department of Culture and Language at the University of Southern Denmark, with affiliations to the SDU Climate Cluster and SDU SCC Elite Center CUHRE. Her research spans religious narratives, media intersections, emotional dimensions of belief, and radical devotion, grounded in ancient Mesopotamian, Hebrew Bible, and early Christian contexts, as well as contemporary popular culture. Education PhD in Study of Religion, Aarhus University (2009) MA in Assyriology, University of Copenhagen (2004) Employment Professor, University of Southern Denmark (2023–present) Associate Professor, University of Southern Denmark (2012–2023) Assistant Professor, University of Copenhagen (2010–2012) Research Focus Feldt investigates the formative power of religious narratives across media, the aesthetics of devotion, wilderness mythologies, and radical religious expressions. Her work bridges ancient texts (Sumerian, Akkadian, Hebrew Bible) and modern phenomena like fantasy culture, using interdisciplinary frameworks from phenomenology to environmental humanities. Publication Trends Her 2025 works demonstrate consistent themes: wilderness as a religious motif across ancient civilizations, narrative-emotion dynamics in extremism, and critical analyses of the fantastic in belief systems. These publications reflect her interdisciplinary approach, merging historical scholarship with contemporary cultural theory. Projects Principal Investigator, RADREL: Total Devotion - Passions in Radical Religion (2021–2025) Co-PI, Elite Centre CUHRE (2023–2027) Participant, Demise of Religion Project (2018–2019)
Sascha Struwe serves as a Postdoctoral Researcher at Aalborg University Business School within the Faculty of Social Sciences and Humanities, actively contributing to the International Business Research Group. Based at Fibigerstræde 11 in Aalborg Øst, Denmark, Struwe operates at the intersection of service innovation theory and business practice with international focus. Research expertise centers on service innovation , value co-creation , and digital servitization , particularly examining B2B contexts and open banking ecosystems. Work consistently explores institutional influences through German-Chinese case studies, addressing how cultural and regulatory frameworks shape service design. Recent trajectories reveal evolution from foundational service design challenges (2019-2021) toward digital transformation implications (2022-2023), with emphasis on value co-destruction mechanisms in financial ecosystems. Struwe led the PhD project Innovating the Invisible and Intangible: Value Creation in B2B service (2018-2021) investigating co-creation capabilities across industrial sectors. Academic engagement includes conference participation at EIBA and CICALICS events, plus a visiting researcher appointment at Fudan University's Nordic Centre (2019-2020). Current work continues through the International Business Research Group, focusing on digital literacies and service ecosystem resilience.
Jens S. Andersen is a Professor in the Department of Biochemistry and Molecular Biology at the University of Southern Denmark, where he leads research in Biomedical Mass Spectrometry and Systems Biology. His work is centered on the development and application of quantitative mass spectrometry and microscopy-based proteomics to study human cell biology, particularly the structure and function of organelles such as centrosomes, cilia, autophagosomes, and mitochondria. His research focuses on determining the protein composition and dynamic properties of cellular organelles, the roles of specific protein groups, and their contributions to biological processes and diseases. He investigates cell signaling mediated by post-translational modifications, especially within the DNA damage response, autophagy, and immune systems. His lab, the Jens S. Andersen Lab, is part of the Research Section of Biomedical Mass Spectrometry. The analysis of his recent publications reveals a strong interdisciplinary trend combining proteomics, structural biology, and cell signaling. His work spans cilia biology, RNA metabolism, DNA repair, and cancer mechanisms, with frequent use of advanced techniques like mass spectrometry, CRISPR, and live-cell imaging. The integration of systems biology approaches is evident across his research outputs. Professor, Department of Biochemistry and Molecular Biology, University of Southern Denmark Head of Research, Biomedical Mass Spectrometry and Systems Biology Principal Investigator, Jens S. Andersen Lab ORCID: 0000-0002-6091-140X While no specific scientific awards are mentioned in the provided texts, his extensive publication record in high-impact journals such as Science , Nature Communications , Molecular Cell , and EMBO Journal reflects significant scholarly contributions. He has supervised research projects and collaborated widely across Europe, though specific names of students are not listed. His research is supported by multiple ongoing projects, reflecting sustained funding and academic leadership. The Jens S. Andersen Lab operates at the intersection of proteomics and cell biology, contributing to fundamental understanding of organelle dynamics and disease mechanisms. The lab's work is highly collaborative, involving partnerships with groups in structural biology, RNA research, and cancer biology.
Timo Minssen is Professor of Law at the University of Copenhagen (UCPH) and the Founding Director of UCPH's Center for Advanced Studies in Bioscience Innovation Law (CeBIL). He also holds affiliations as an LML Research Affiliate at the University of Cambridge and an Inter-CeBIL Research Affiliate at Harvard Law School's Petrie-Flom Centre. With extensive expertise in Intellectual Property, Competition, and Regulatory Law, Minssen focuses on the legal aspects of emerging health and life science technologies, including genome editing, big data, artificial intelligence, and quantum technology. His educational background includes a German law degree (Staatsexamen) from Georg-August-University in Göttingen, and Swedish biotech & IPR related LL.M., LL.Lic., and LL.D. degrees from Lund University and Uppsala University. His PhD thesis on the patentability of biopharmaceutical technology in the US & Europe received the prestigious Swedish King Oscar award. 2024: TUM Global Visiting Professor, Technical University of Munich (Germany) 2016: Visiting Research Fellow, University of Cambridge (UK) 2014: Visiting Research Fellow, University of Oxford (UK) 2013-14: Visiting Scholar, Harvard Law School (US) 2012: LL.D. - Doctor of Laws (Swedish "juris doktor"), EU/US patent law, Lund University, Sweden Minssen's research spans AI & Big Data in Health & Life Sciences, Sustainable and responsible innovation & tech transfer, Pharmaceutical-, Life Science- & Biotech Law, Comparative European & US Patent Law, Intellectual Property Law & Open Innovation, and EU Competition- & US Antitrust Law. His work addresses legal issues throughout the lifecycle of health and life science products and processes, from R&D regulation to technology transfer and commercialization. His extensive publication record includes 7 books and over 200 articles and book chapters published in leading journals such as Science, Nature Biotechnology, JAMA, and Harvard Business Review. His research has been featured in The Economist, Financial Times, and other major media outlets. Minssen's recent work shows a strong focus on AI regulation, quantum technology law, and data governance in health contexts, reflecting the evolving landscape of technology and law. Scientific Awards and Recognition King Oscar award for best Jur. Dr. thesis (2014) Jorcks Fonds Forsknings Pris (Jorck's Foundation Research Prize) (2017) Awapatent Research Prize (2009) Max Planck Research Scholarship (2005) Visiting Scholar appointments at Harvard Law School, University of Oxford, and University of Cambridge Recipient of a Novo Nordisk Foundation Grant for a "Collaborative Research Program in Biomedical Innovation Law" (2018) As an advisor, Minssen serves international organizations including the WHO, WIPO, and EU Commission. He has supervised numerous PhD students in areas including pharmaceutical law, biotechnology patents, and antimicrobial resistance. His current research projects include the Novo Nordisk Foundation's International Collaborative Bioscience Innovation & Law (Inter-CeBIL) Programme (50 million DKK), CLASSICA: EU Horizon Project on AI-assisted surgery, and AI@Care: Law and Ethics and Algorithmic Bias in Healthcare. Minssen leads the Center for Advanced Studies in Bioscience Innovation Law (CeBIL), which serves as a hub for interdisciplinary research on the intersection of law, technology, and innovation in the health and life sciences. The center collaborates with institutions worldwide to address pressing legal challenges in emerging technologies.
Mikael B. Skov is a Vice Dean and Professor at the Technical Faculty of IT and Design of Aalborg University , Denmark. His research spans human-AI interaction, robotics, and user experience, with a focus on trust signaling in clinical AI, swarm robotics, and sound zones for domestic environments. Role: Vice Dean for Research Department: Computer Science Research Interests: Skov investigates how humans interact with AI and robots in healthcare and domestic settings, emphasizing trust calibration, alert design, and acoustic comfort. His work includes developing frameworks for UX maturity in robotics organizations and studying long-term adoption of sound zone systems. Recent Projects: As principal/co-investigator, he leads the HERD project on human-AI collaboration in robot swarms (2021–2025) and supervises Data og Bæredygtig Mad (2020–2023), an HCI perspective on sustainable food systems. Publications: His 2024 work includes studies on AI explanations in clinical training, music applications with intermittent interactions, and multi-robot supervision. Earlier projects (2001–2020) focused on mobile device usability, UX practices, and context-aware computing.
Claus Thustrup Kreiner is a Professor of Economics and Director of the Center for Economic Behavior and Inequality (CEBI) at the University of Copenhagen's Faculty of Social Sciences, Department of Economics. He also serves as Area Director of Public Economics in the CESifo network and was co-editor of the Journal of Public Economics from 2014 to 2020. Kreiner has held various leadership positions including Director of the Economic Policy Research Unit (EPRU) since 2005 and Director of the Center of Excellence WEST from 2011-2013. Education: Ph.D. in Economics, University of Copenhagen, 1998 Visiting Ph.D. student, University of York, 1996 M.Sc. in Economics, University of Copenhagen, 1994 B.Sc. in Economics, University of Copenhagen, 1991 Claus Thustrup Kreiner's research primarily focuses on Public Economics , with secondary specializations in Labor Economics, Household Finance, Applied Microeconometrics, and Experimental Economics. His work examines inequality in income, wealth and health, optimal redistribution policy, and behavioral responses to public policy. Kreiner has conducted significant research using Danish administrative data to analyze tax compliance, labor supply responses, and inequality dynamics. His research often involves collaborations with institutions like Columbia University, London School of Economics, and UC Berkeley. His recent publications reveal a strong focus on inequality across multiple dimensions (income, wealth, health, life expectancy), tax policy design and compliance, labor market responses to policy changes, and the intersection of behavioral economics with public policy. Kreiner frequently employs high-frequency administrative data from Denmark to provide empirical evidence on how individuals and households respond to economic policies and shocks. Scientific Awards and Recognition: Appointed Knight of The Order of Dannebrog by Queen Margrethe II (2018) The Invisible Hand Award from the Society of Social Economics (2006, 2001) Best Teacher Award from the Study Board of Economics at University of Copenhagen (2002) Research Fellow at Centre for Economic Policy Research (CEPR), London (2009-) Kreiner has supervised numerous students primarily in Public Economics and has received multiple research grants including from the Danish Social Science Research Council (2003, 2006, 2009), International Growth Center (2009), and Danish National Research Foundation (1998-2003). He has served on important policy bodies including as co-chair of the Danish Economic Council (2010-2014) and member of the Danish Tax Commission (2008-2009). As Director of CEBI (Center for Economic Behavior and Inequality), Kreiner leads a major research center funded by the Danish National Research Foundation. He also directs the Economic Policy Research Unit (EPRU) and has been instrumental in establishing research collaborations through networks like CESifo. His work bridges academic research and policy application, as evidenced by his practical policy experience with government commissions.
Henrik Hansen is a Professor and Head of Department at the Department of Economics , University of Copenhagen , where he has held various academic and administrative roles since 1995. He is associated with the Development Economics Research Group (DERG) and affiliated with the Copenhagen Center for Disaster Research (COPE) network. Education : MSc in Economics (1991) and PhD in Economics (1995) from University of Copenhagen. His research focuses on development economics , with emphasis on development aid effectiveness , applied econometrics , and education research . He has conducted extensive fieldwork in Myanmar and Vietnam , analyzing enterprise surveys, household data, and policy impacts. Recent publications highlight productivity in manufacturing sectors, gender wage gaps, and credit access determinants. He teaches "Applied Research Methods" in the Global Development program and supervises development economics and applied econometrics students. Professional roles include editorial positions at Review of Development Economics and Asia & The Pacific Policy Studies , alongside advisory work for Statistics Denmark and Vietnamese Academy of Social Sciences . He has organized international conferences and contributed to 25+ media discussions on topics like corruption in Africa and development financing .
Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.
Kevin Crowston is a Distinguished Professor of Information Science at Syracuse University's School of Information Studies (iSchool), where he examines how information technology enables new organizational forms through empirical studies, theoretical modeling, and system design. His work focuses on coordination-intensive processes in virtual settings, with significant contributions to citizen science, data science teamwork, and journalism transformation. Education A.B. in Applied Mathematics (Computer Science), Harvard University, 1984 Ph.D. in Information Technologies, MIT Sloan School of Management, 1991 Research Focus : Crowston investigates coordination mechanisms in human-AI collaboration, particularly through projects like Gravity Spy (combining citizen scientists with machine learning for gravitational wave analysis) and journalism innovation (e.g., ReelFramer for AI-assisted news-to-video translation). His framework addresses how intelligent systems reshape work design, knowledge production, and team dynamics in scientific and media contexts. Publication Trends : Recent articles (2024-2025) reveal three dominant threads: (1) Human-AI co-creation in journalism (deskilling/upskilling dynamics, creative tool adoption), (2) Citizen science evolution with AI (co-learning systems, lexical entrainment), and (3) Socio-technical governance of intelligent machines (control-accountability alignment, project archetypes). These reflect his central inquiry into how technology reconfigures work structures. Scientific Recognition ACM Distinguished Speaker Research Leadership : Crowston currently directs two major NSF initiatives: (1) HCC grant 21-06865 on intelligent support for non-expert information navigation, and (2) FW-HTF grant 21-29047 exploring human-technology collaboration in journalism. He spearheaded a Research Coordination Network establishing socio-technical frameworks for work in the age of intelligent machines, culminating in a special issue of Information, Technology & People . Collaborative Infrastructure : He co-leads the Gravity Spy citizen science ecosystem (integrating LIGO physicists, machine learning systems, and volunteers) and serves as co-editor-in-chief of Information, Technology and People , previously editing ACM Transactions on Social Computing . His MIDST platform research advances stigmergic coordination for data science teams.
Desmond Elliott is an Associate Professor in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen (UCPH). His research focuses on multimodal and multilingual models with specific emphasis on vision-language integration and tokenization-free NLP approaches. He teaches Bachelor and Master's level courses including Advanced Topics in Natural Language Processing (since 2019), Grundlæggende Data Science (since 2023), and previously Data Science (2021-2023). His research interests center on building and understanding multimodal and multilingual models , particularly exploring vision and language interactions through billion-parameter systems. Current work investigates cultural representation disparities in vision-language models, parameter-efficient captioning, and multimodal distributional semantics across diverse domains including food culture and medical imaging. His methodology emphasizes real-world applicability in non-English contexts and ethical considerations in multimodal systems. Elliott's recent publications (2025) demonstrate leadership in multimodal NLP, with significant contributions to vision-language pretraining, multilingual evaluation frameworks, and clinical NLP applications. His work spans theoretical advancements in model architectures and practical implementations addressing challenges in low-resource languages and domain adaptation. Best Long Paper Award at EMNLP 2021 Best Poster Award at COLING 2019 As an active educator, Elliott contributes to courses on Fair and Transparent Machine Learning and previously taught Information Retrieval. His research collaborations span international institutions with particular focus on European and non-English language contexts, reflecting UCPH's recognition as Europe's #1 institution for HCI research over the past decade.