Asta Seirup Særkjær serves as an Instructor in the Department of Economics at the University of Copenhagen and participates in the Department of Economics Study Council, contributing to academic governance and curriculum oversight. Her research profile, inferred from departmental affiliation, spans core economic disciplines with emphasis on: Microeconomic theory and applications Macroeconomic policy analysis Quantitative econometric methods Development economics frameworks Labor market dynamics Comparative economic systems No scientific awards were documented in the source material. Student advising activities and research grant management details were not provided in the available text, though her Study Council role suggests involvement in academic mentorship structures.
Manex Aguirrezabal Zabaleta is an Associate Professor in the Department of Nordic Studies and Linguistics at the University of Copenhagen. He previously held positions as a Postdoc (2017-2019) and Assistant Professor at the same institution. His educational background includes: PhD in Natural Language Processing from the University of the Basque Country (UPV/EHU), conducted at the IXA NLP group. Master's degree in Natural Language Processing from UPV/EHU. Bachelor's degree in Computer Science (5 years) from UPV/EHU. Dr. Aguirrezabal's research focuses on the computational analysis of poetry , particularly stress patterns in English. He explores whether computers can effectively analyze poetic structures, a field with roots in the 1980s but revitalized by modern techniques. Additionally, he investigates language generation , computational morphology and phonology , and finite-state methods . His work bridges traditional linguistic inquiry with cutting-edge natural language processing. Recent publications (2023-2024) demonstrate a diverse engagement with computational linguistics, including poetry generation, multimodal corpus development, clickbait analysis, and fact-checking. His research often employs zero-shot learning and language models, reflecting current trends in AI-driven linguistic analysis. He has contributed to international collaborations such as ParlaMint (multilingual parliamentary corpora) and the GEHM Zoom corpus. While specific grant details are not provided, his active publication record indicates ongoing research support. Dr. Aguirrezabal maintains a strong connection to his Basque heritage, having pursued his early education in the Basque language.
Per Kragh Andersen is a Professor at the Department of Public Health, University of Copenhagen, within the Faculty of Health and Medical Sciences. He is affiliated with the Section of Biostatistics, which focuses on statistical theory, methods, and applications in biomedical research, providing advisory services and educational programs in statistics from undergraduate to PhD levels. Location: Øster Farimagsgade 5, Building CSS (2nd floor in CSS-5, CSS-10, CSS-15), Copenhagen K Contact: +45 35 32 79 08 | pka@biostat.ku.dk The Section of Biostatistics collaborates with other health sciences departments to advance scientific knowledge through rigorous statistical analysis and education. Its mission includes advising researchers on study design, conducting methodological research, and promoting quantitative methods in biomedical sciences.
Roberto Mora Cortez serves as an Associate Professor in the Department of Business and Sustainability at the University of Southern Denmark (SDU), Kolding campus, with a primary focus on Business-to-Business (B2B) marketing research and instruction. His academic contributions span teaching, publication, and industry engagement within the global B2B domain. His research expertise centers on B2B Marketing , Market Segmentation , and Quantitative Methods , with significant extensions into Sales , Trade Shows , Customer Journey mapping, and DEI in B2B contexts. His methodological approach combines systematic reviews, survey research, and empirical analysis, emphasizing practical applications for businesses across diverse economic environments including Chile and Peru. Key investigations address segmentation efficacy, digital transformation of trade shows, and the integration of diversity principles into B2B selling frameworks. Analysis of his 15 most recent publications (2022-2025) reveals dominant trends toward digitalization, sustainability, and inclusivity in B2B practices. His work consistently bridges theoretical frameworks with actionable implementation strategies, particularly in global and emerging markets. Notable thematic clusters include AI-driven business processes, relationship marketing resilience during economic fluctuations, and social media's role in B2B engagement. No scientific awards, prizes, or fellowships are documented in the available records. Mora Cortez has supervised at least one bachelor thesis student (Catherine Scheck) and teaches courses including Business-to-Business Marketing, Advanced Quantitative Analyses, and Scientific Research Processes. His academic service includes peer reviewing for the Journal of Business & Industrial Marketing and participation in conferences such as the AMA Winter Academic Conference. International collaborations with Georgia State University and the University of Chile indicate active research networking. His departmental work within SDU's sustainability-focused business unit involves media engagement on mining industry marketing in Latin America, including contributions to Peruvian business media on value propositions and trade show ROI. Current research trajectories emphasize digital transformation, sustainable innovation, and DEI integration within evolving B2B landscapes.
Claudia Acciai is a Guest Researcher at SODAS (Sociology Department) at the University of Copenhagen, where she works on the research project "Quantifying institutional and country-related Matthew effects in science." She holds a PhD in Political Science and Sociology from the Scuola Normale Superiore, with a dissertation focused on policy design in the Research and Innovation sector. Her academic journey includes research visits at Alliance Manchester Business School, Science Po Paris, and Copenhagen Business School. Her research interests lie at the intersection of comparative public policy, innovation studies, and science of science. She combines computational and experimental methods with qualitative content analysis techniques to examine policy design, institutional effects in science, and research evaluation. Her work frequently addresses how policy instruments function in complex governance environments and investigates gender-related differences in academic publishing. Analyzing her recent publications reveals a strong focus on the science of science, with particular attention to bibliometrics, policy instrument effectiveness, and gender dynamics in academic careers. Her work spans multiple disciplines including political science, sociology of science, and innovation studies, often employing mixed-methods approaches that combine quantitative analysis with qualitative insights. Acciai is an active member of the Knowledge, Organization and Politics research group at the Department of Sociology. Her collaborations span multiple countries and institutions, reflecting the international nature of her research on comparative policy and science studies. She has conducted significant work for research projects funded by the Italian Ministry of Education, including analyses of policy analysis capacity in Italian policymaking and governance changes in higher education systems.
Jens O. Brunner is a Professor of Decision Science in Healthcare at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics. Previously, he held a professorship at the University of Augsburg until March 2023 and served as co-director of the University Center for Health Care (UNIKA-T) from 2013 to 2020. He earned his PhD from the TUM School of Management (2009) and a diploma in Business Administration from the University of Mannheim (2006). Roles: Professor, Department Editor for Health Care Management Science , and Associate Editor for multiple journals. Education: PhD in Management, TUM School of Management (2009) Diploma in Business Administration, University of Mannheim (2006) His research focuses on healthcare operations management and the application of quantitative methods to optimize service systems. Key areas include triage policies, staff scheduling, and AI-driven healthcare solutions. His work has contributed to improving resource allocation in hospitals and pandemic response strategies. Notable awards include the Harold W. Kuhn Award (2015) and the IISE/SSE Outstanding Innovation Award (2022). His research has been published in journals like IIE Transactions and European Journal of Operational Research . He supervises PhD students in projects such as AI-integrated pooling strategies and resource optimization in healthcare. His involvement in interdisciplinary collaborations and editorial roles highlights his leadership in advancing healthcare operations research.
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 .
Tom Brughmans serves as Associate Professor in Classical Archaeology at Aarhus University's School of Culture and Society, where he pioneers the application of network science and computational modeling to archaeological questions. His work bridges theoretical archaeology with complexity science, focusing on long-term economic dynamics in the Roman Empire through quantitative analysis of material culture distribution. His research centers on developing methodological frameworks for archaeological network analysis, with specific expertise in Roman economic integration, amphorae trade networks, and agent-based simulation of ancient economies. Brughmans advocates for computational reproducibility and open-science practices, creating accessible tools that transform complex archaeological data into analyzable network structures while challenging traditional interpretations of Roman market systems. Brughmans' publication trajectory reveals three dominant trends: advancing theoretical foundations of archaeological network science through handbooks and methodological guides; empirical investigations into Roman economic complexity using big-data approaches to amphorae distributions; and development of public-facing simulation platforms that translate academic research into interactive experiences. His work consistently integrates computational techniques with archaeological evidence to model socio-economic processes across centuries. His scientific recognition includes prestigious competitive fellowships: Leverhulme Early Career Fellowship (2017-2019) for the MERCURY project Marie-Curie Individual Fellowship (2019-2020) for SIMREC Brughmans directs multiple major research initiatives including the Past Social Networks Project (an open repository for ancient network data), NEFLARA (a Marie-Curie project developing landscape archaeology frameworks), and MINERVA (focused on Roman economic functioning). He has secured substantial funding from the Leverhulme Trust, Marie-Curie Actions, and ERASMUS+ for projects advancing computational archaeology, while actively promoting collaborative research through platforms like FORVM that make economic modeling accessible to broader audiences. As a core member of Aarhus University's Centre for Urban Network Evolutions (UrbNet), he contributes to interdisciplinary investigations of ancient urban connectivity. His leadership extends to developing international research networks through the Oxford Handbook of Archaeological Network Research and creating open educational resources that democratize access to network analysis methodologies in archaeology.
Jesper Velgaard Olsen is a Professor and Deputy Center Director at the University of Copenhagen's Novo Nordisk Foundation Center for Protein Research (CPR) and leads the Olsen Group. His research focuses on quantitative, high-resolution mass spectrometry-based proteomics, particularly in characterizing signaling networks regulated by phosphorylation and other post-translational modifications. The group develops advanced offline peptide fractionation and enrichment methods combined with high-resolution Orbitrap tandem mass spectrometry to improve robustness and reproducibility in proteomic analysis. The Olsen Group investigates functional selectivity in cell signaling, where different growth factors binding to the same receptor activate distinct pathways. They identified tyrosine phosphorylated residues as molecular switches determining cell fate and optimized workflows enabling deep human proteome analysis comparable to RNA-seq. Their work spans technology development and biological applications in diseases like acute myeloid leukemia. Key group members include PhD Fellows, PhD Students, and Researchers such as Agnete Witness Præst Jensen, Charlotte Hjort, and Kristina Bennet Emdal. For collaboration or inquiries, contact Olsen via email jesper.olsen@cpr.ku.dk .
Mads Leth Jakobsen is an Associate Professor at the Department of Political Science , Aarhus University, specializing in Public Leadership , Leadership Development , and Bureaucracy and Debureaucratization . He serves as a member of the King Frederik Center for Public Leadership management team, focusing on leadership for public value creation and handling complex social challenges like the climate crisis. Academic Rank: Associate Professor Primary Research: Public Leadership, Distributed Leadership, Climate Governance Teaching: Public Leadership and Governance on political science programs Key Projects: Public Value Leadership (2022), Distributed Leadership (2012-2016) His research explores paradox leadership , organizational responses to climate challenges, and leadership credibility. Recent publications examine municipal climate strategies, bureaucratic dynamics, and leadership development frameworks. He emphasizes the interplay between leadership practices and employee outcomes in public sector organizations. Scientific awards and student supervision details are not listed in the available information. His articles highlight a strong focus on reconciling performance regimes with organizational learning, leadership credibility, and innovative governance models in public sector contexts.
Mengni Chen is a Tenure Track Assistant Professor at the Department of Sociology , University of Copenhagen , affiliated with the Faculty of Social Sciences . She holds a PhD from the University of Hong Kong and previously worked as a research scientist at institutions including the University of Cologne (Germany), Catholic University of Louvain (Belgium), and Vienna University of Economics and Business (Austria). Her research focuses on marriage/family dynamics, gender inequality, intergenerational relationships, socioeconomic development, and population dynamics. She teaches courses such as 'Population and Society,' 'Social Problems,' 'Family Sociology of a Changing Society,' and 'Advanced Quantitative Data Analysis.' Recent Research Highlights: - Analyzes late parenthood trends in East Asia. - Explores intergenerational emotional dynamics in aging Chinese families. - Investigates gender equality in household labor via Hong Kong case studies. - Examines spatial-temporal suicide determinants in China. - Compares life expectancy between Hong Kong and Japan. Professional Contributions: - Authored/edited 27 peer-reviewed publications since 2015. - Research spans sociology, demography, public health, and policy analysis. - Collaborations with international institutions in Europe, Asia, and beyond. - Active in policy-relevant demographic studies addressing societal challenges.
John Rand is a Professor in Development Economics at the Department of Economics, University of Copenhagen, where he has been employed since 2021. He previously served as Professor (mso) at the Faculty of Social Sciences (2015-2020) and Faculty of Science (2011-2014), Associate Professor (2008-2011), and Assistant Research Professor (2005-2008) at the same institution. He is currently Vice-chair of The Consultative Research Committee for Development Research (FFU) and co-director of the Development Economics Research Group (DERG). Professor Rand's research focuses primarily on development economics, with specific expertise in applied econometrics, impact measurement, industrial economics, and interdisciplinary methods. His work spans topics including climate-smart agriculture, economic policy in developing countries, trade and productivity, and governance issues. He leads multiple externally funded research projects including 'Energy transition and climate-smart agriculture in Vietnam', 'Economic Research and Policy Making in Kenya', and 'Sedentarization and climate change resilience in Nigeria'. His extensive publication record shows a strong focus on empirical research in developing countries, particularly in Africa and Southeast Asia. His recent work demonstrates consistent attention to practical policy implications, with a growing emphasis on climate change adaptation, resource allocation efficiency, and the intersection of economic development with environmental sustainability. His research often employs rigorous quantitative methods to address real-world development challenges. Professor Rand is actively involved in several research networks including the Copenhagen Center for Disaster Research (COPE) as part of the steering group and the UCPH Migration Research Platform. He serves as Head of Studies for Global Development and teaches Development Economics (BA) and Theories, Facts and Current Issues (MSc Global Development). He has presented his research at numerous international conferences including UNU WIDER conferences, Nordic Conference in Development Economics, and various country-specific development forums. His work has been referenced in policy sources and picked up by news outlets, indicating its relevance to current development debates.
Christian Erik Kampmann is an Associate Professor at the Department of Strategy and Innovation, Copenhagen Business School. He holds a Ph.D. in Management from MIT and an engineering background from DTU, bridging technical rigor with socio-economic research. Education: MIT (Ph.D. in Management), DTU (Engineering) Research Interests focus on system dynamics as applied to sustainable energy transitions, electric mobility, and green urban mobility. His methodological work enhances structural dominance analysis and eigenvalue techniques for complex system modeling. Recent publications address feedback loop gains, market misperceptions of feedback, and comprehensive analytical approaches for policy modeling, reflecting his interdisciplinary focus on sustainability challenges. Teaching includes courses on system dynamics, sustainable business strategy, and quantitative business research, with supervision of theses on electric mobility and product-service sustainability. External engagements involve board membership (Magasin du Nord, 2018-2020) and computer modeling consultancy (Zerolytics, Whitebox).
Jun Yang is a Tenure Track Assistant Professor at the Department of Mathematical Sciences, University of Copenhagen. His research spans computational statistics and machine learning, with a focus on high-dimensional inference, time series analysis, and Monte Carlo methods. Current Position: Tenure Track Assistant Professor, University of Copenhagen (2023–present) Previous Role: Florence Nightingale Bicentennial Fellow, University of Oxford (2020–2023) Education: Ph.D. in Statistics, University of Toronto (2020), advised by Daniel M. Roy and Jeffrey S. Rosenthal Research Interests: Jun’s work addresses the intersection of computational statistics and machine learning, including: - High-dimensional Markov chain Monte Carlo (MCMC) algorithms - Bayesian variable selection in complex models - Spectral inference for nonlinear time series - Quantitative bounds and complexity analysis for MCMC Publications: His publications highlight advancements in high-dimensional sampling, time series analysis, and algorithm design. Key contributions include: - Dimension-free mixing results for Bayesian variable selection - Stereographic projection techniques for MCMC - State-domain change point detection in nonlinear regression Awards: Florence Nightingale Bicentennial Fellow, University of Oxford (2020–2023) Collaborations: Jun collaborates with researchers like K. Łatuszyński, G.O. Roberts, and J.S. Rosenthal, advancing statistical theory and applications in econometrics, machine learning, and stochastic processes.
Gregory Eady is an Associate Professor at the Department of Political Science, University of Copenhagen (Denmark), affiliated with the Faculty of Social Sciences. His research bridges political behavior, public opinion dynamics, social media's role in politics, and advanced statistical methodology. He examines how digital platforms influence political attitudes and representation, with a focus on electoral processes, foreign interference, and crisis impacts on governance. Key research foci include analyzing the ideological landscape via social media interactions, assessing post-pandemic political representation gaps, and exploring gender dynamics in political toxicity. His methodological contributions address challenges like measuring voter uncertainty and detecting misreporting in sensitive surveys. Eady's work spans cross-national studies and employs experimental designs to uncover causal mechanisms in political behavior. Notable projects include examining Russian disinformation campaigns in the 2016 U.S. election and the psychological effects of violent protests on party loyalty. His interdisciplinary approach integrates computational social science with traditional political theory, contributing to debates on democratic resilience in the digital age.
