Henrik Rindel Gudbergsen is an Associate Professor at the Faculty of Health and Medical Sciences , University of Copenhagen, specifically within the Department of Public Health, Section of General Practice . He also serves as an EU Project Coordinator at The Parker Institute, Bispebjerg and Frederiksberg Hospital, focusing on eHealth innovations. Education : MD (2008), PhD in Imaging in Knee Osteoarthritis (2011), MPA in LEAN management (2017). Research : His work bridges rheumatology, eHealth, and musculoskeletal imaging, with emphasis on knee/hand osteoarthritis, AI-driven radiographic analysis, and value-based healthcare models. His recent publications highlight trends in artificial intelligence applications for osteoarthritis diagnosis, weight loss interventions for joint health, and patient-centered program development for musculoskeletal disorders. Current Projects : Includes leading a Horizon 2020-funded eHealth platform for rheumatoid arthritis patient monitoring and exploring calcium crystal deposition in osteoarthritis.
Dr. Viswanath Venkatesh is a Professor and Verizon Chair of Business Information Technology at the Pamplin College of Business, Virginia Tech , with affiliate faculty status at Virginia Tech India . He has directed the part-time Executive PhD Program and led curriculum redesigns in Information Systems programs at multiple institutions. PhD from University of Minnesota Over $10M research funding from NSF, DOT, and others Collaborations across 11+ countries in technology diffusion studies His research spans technology adoption theory (original work on TAM/UTAUT), enterprise system impacts , healthcare IT , and digital poverty alleviation . Recent work examines deviant technology use , AI adoption , and cyberdeviance through mixed-method designs integrating qualitative and quantitative approaches. Key article trends reveal: Focus on affordance theory and polynomial modeling Integration of machine learning with behavioral analytics Global scope across China, India, Malaysia, and US Methodological innovation in multimethod research and longitudinal field studies His students lead research in: Blockchain for financial inclusion (India) Agile software development impacts (2015-2021) Cross-cultural privacy perceptions (Malaysia field studies)
Cancan Wang serves as a Lecturer in Digitalisation, Democracy, and Governance at the IT University of Copenhagen's REFLECT Center for Climate IT. Her academic work bridges technology policy, sustainability transitions, and data governance frameworks across public and private sectors. Her research focuses on IT Governance , Data Commons , and Political Economy of Data , with particular expertise in China's digital policy landscape and ESG data infrastructure. Current investigations examine how data systems enable sustainability transformations while navigating regulatory complexities in fintech and climate governance contexts. Wang's publication trends reveal intensifying focus on data-driven sustainability (40% of 2023-2025 output), China's governance models (25%), and regulatory responses to AI (20%). Her work increasingly integrates cross-disciplinary perspectives from political science, information systems, and environmental studies. Awarded the Kauffman Best Paper Award Runner Up (2022) for contributions to information systems research, her recognition highlights growing influence in digital governance scholarship. Principal Investigator for GreenITSME (2025-2026) exploring service-oriented green IT models for SMEs Co-Investigator in DecouplingIT (2022-2027), a €4.2M EU-funded climate crisis mitigation project Project lead for DEED-Fintech (2024) developing ESG data governance education for startups Wang actively shapes discourse through media engagements including Børsen commentary on AI legislation and Danish public radio appearances analyzing data sovereignty. Her leadership extends to chairing the 2023 Conference on Sustainability and Data and organizing the CDW Global Comparisons Masterclass series.
Nicola Morelli is a Professor at the Department of Architecture and Media Technology, Aalborg University, within the Technical Faculty of IT and Design. His work bridges service design, urban innovation, and systemic approaches to sustainability. PhD in Industrial Design, Politecnico di Milano (1995) Laurea in Architecture, Federico II University, Naples (1989) Research interests include service design , systemic design , urban sustainability , and participatory futures. Recent projects focus on climate-neutral city hubs and co-design for transitions. Over 200 publications, with a 2013 Design for All Foundation Award , he leads international research initiatives and serves as Chair of Cumulus International Association (2022–2025). Projects: Climaborough (EU climate-neutral cities), T-Factor (temporary urbanism), CD4T (co-design for transitions) External roles: Guest Professor, University of Geneva (2015) and Politecnico di Milano (2012–2018)
Katrine Bønneland Tølbøll is a PhD Fellow at the Department of Political Science, Aarhus University, with one additional unspecified institutional affiliation. Her interdisciplinary research examines youth well-being through the lens of digital lives and social media consumption, focusing on long-term mental health consequences and evolving political/media narratives around screen time. Educational background derived from text: Cognitive Science Behavioral Economics Cognitive Semiotics Research interests integrate psychological, economic, and linguistic frameworks to investigate: Mechanisms of social media impact on adolescent mental health Temporal dynamics of digital platform effects Discourse analysis of screen-use policies Methodologically, she specializes in: Advanced statistical modeling Meta-analyses Machine learning applications Computational linguistics Agent-based modeling Longitudinal dataset analysis Publication trends reveal consistent meta-analytical contributions across child psychiatry, developmental psychology, and psycholinguistics, with emphasis on evidence synthesis for social interventions and mental health diagnostics. Scientific Awards: No awards listed in provided text Teaching and advising activity: Current instructor for Policy Evaluation and Behavioral Public Policy courses Focuses on quantitative/experimental methods in public policy design No supervisees documented (PhD candidate status) Grant history not specified
Simon Krogh Anderson serves as a Lecturer at the Department of Computer Science (DIKU), Faculty of Science, University of Copenhagen. He is an active member of the Machine Learning section which focuses on theoretical foundations and applications across domains including natural language processing, medical image analysis, and biological data modeling. The department participates in the SCIENCE AI Centre and maintains powerful compute resources including the TreeSense platform for remote sensing. His research spans multiple cutting-edge areas in artificial intelligence with particular emphasis on machine learning, quantum computing applications, and algorithmic fairness. Key interests include sustainable AI development, reproducibility in recommender systems, and cross-cultural adaptation frameworks. His work often bridges theoretical computer science with practical applications in environmental monitoring, healthcare analytics, and quantum information processing. Recent publications demonstrate strong interdisciplinary connections across quantum computing, sustainable AI, and fairness metrics. Trends show increasing focus on environmentally conscious AI development, integration of quantum methods with classical machine learning, and ethical considerations in recommendation systems. His work frequently leverages Denmark's extensive health registries and environmental data resources. Anderson actively contributes to the department's research ecosystem through teaching and collaboration within the Machine Learning section. While specific grants aren't detailed in available materials, his publications indicate involvement in projects related to quantum computing infrastructure, environmental monitoring systems, and AI ethics frameworks. The department provides significant computational resources including a dedicated cluster and specialized labs like TreeSense for remote sensing applications. His work appears connected to the SCIENCE AI Centre's initiatives in sustainable computing and quantum information processing.
Henning Christiansen is a Professor at Roskilde University's Department of People and Technology, affiliated with the Programming, Logic and Intelligent Systems (PLIS) research group. He is also a Knight/Chevalier of the Dannebrog (2018) and serves as Coordinator for International Student Exchanges in Computer Science, Informatics & Humanities-Technology Studies. His research spans Deep Learning for medical diagnosis, Robotics in theatrical performances, Constraint Logic Programming, Probabilistic-logic models, Natural Language Processing, Logical methods for context comprehension, Interactive art installations, Database query systems, Cultural technology projects like Viskbook. Key projects include SEAFACTS (digital maritime history platform), EXPLAIN-ME (explainable AI in medical education), NDH (cross-border health data collaboration). Publications highlight contributions to AI ethics, robot choreography, medical image analysis, constraint-based formal methods. He has supervised over 16 projects and 285+ activities, including international conferences and exhibitions. His photography has been displayed in Roskilde libraries and cultural venues.
Michele Coscia is an Associate Professor in the Department of Data Science at the IT University of Copenhagen. He also serves as the Head of Programme for the BSc in Data Science. His research focuses on network analysis, social networks, data mining, and their applications in understanding human mobility, complex systems, economic development, and memetics. He has contributed to projects such as the Pioneer Centre for Artificial Intelligence and leads initiatives like ROMNET (Past social network reconstruction from material culture data) and Work2Vec (exploring deep learning in healthcare and work hours analysis). His research interests encompass interdisciplinary network science, including misinformation dynamics, ideological polarization, and the impact of social media systems. He has developed methodologies like the generalized Euclidean measure for multilayer networks and explored cultural data analytics through case studies like Italian music history. His work also addresses real-world challenges, such as quantifying the effects of violence on migration patterns and optimizing network sampling strategies for cost efficiency. Michele Coscia has received the Årets Forskningsmiljø 2022 award, recognizing his contributions to fostering outstanding research environments. He actively engages with media, discussing topics like misinformation and data visualization. As a principal investigator, he oversees projects funded by institutions such as the Villum Foundation and Danish National Research Foundation. His research spans academic collaborations across countries, reflecting his global network and commitment to advancing network theory and its applications.
Zoi Kaoudi is an Associate Professor at the IT University of Copenhagen, affiliated with the Data, Systems, and Robotics school and the Data-intensive Systems and Applications department. Her research focuses on advancing data systems, knowledge graphs, and large-scale data analysis. She leads the Rank4QO project (2024–2027), funded by the Carlsberg Foundation, which explores query optimization using ranking algorithms. Her work emphasizes machine learning integration in data management systems, including frameworks like Apache Wayang, which unifies diverse data analytics platforms. Key collaborations include projects with Volkswagen Group and SAP, addressing dynamic graph processing and knowledge graph embeddings. Notable contributions include innovative approaches to parameter management (e.g., Good Intentions ), automated data science pipelines ( DORIAN ), and efficient graph processing algorithms. Her recent publications (2023–2025) highlight advancements in machine learning systems, distributed data processing, and adaptive optimization techniques. Current projects aim to bridge machine learning and data management through frameworks like Wayang and Dorian, with applications in air cargo revenue management and semantic web systems.
Kristian Olesen is an Associate Professor in strategic spatial planning at the Department of Sustainability and Planning, Aalborg University, affiliated with The Technical Faculty of IT and Design. He is a member of the Planning for Urban Sustainability (PLUS) research group and serves as program coordinator for the Urban Planning and Management master’s program. His work focuses on linking spatial planning to politics, urban infrastructure investments, and neoliberalization trends in Denmark. Research Interests: Strategic spatial planning at multiple scales (transnational to neighborhood) Urban redevelopment of deprived neighborhoods via housing associations Integration of energy and urban planning for Positive Energy Districts Neoliberalization of Danish spatial planning systems Urban governance and public participation Projects: Lead investigator for PED-JUST (2025-2027): Energy transition strategies in disadvantaged neighborhoods FLEXPOSTS (2022-2025): Flexible positive energy district systems Fremtidens Boligorganisation (2021-2025): Housing associations as urban developers Teaching: 10+ years leading problem-based learning in urban planning aligned with UN SDGs Focus on sustainable development goals integration in curricula Collaborations: Active partnerships with Realdania, Landsbyggefonden, and Innovation Fund Denmark International collaborations on Nordic housing policy and urban development
Janni Sørensen is an Associate Professor and Research Group Lead at the Department of Sustainability and Planning, Aalborg University (AAU), within The Technical Faculty of IT and Design. She holds a PhD in Urban and Regional Planning from the University of Illinois at Urbana-Champaign (2007) and a Landinspektør degree from AAU (1997). Her research focuses on participatory urban planning, coastal transition, and community organizing, with emphasis on neighborhood-scale engagement and policy implementation. Affiliations: AAU since 2008; previously Associate Professor at UNC Charlotte (2008–present) and Assistant Director at UIUC (2005–2008). Key Projects: Charlotte Action Research Project (CHARP), EmpowerUs coastal sustainability initiative, and pandemic-era studies on urban governance adaptation. Her research interests span urban policy, spatial planning, and community empowerment, addressing issues like affordable housing, spatial segregation, and post-pandemic governance. She has led over 38 publications and secured grants from local governments and foundations. Awards: 2017 AASCU Excellence and Innovation Award, 2018 UNC Charlotte Bonnie E Cone Professorship, and 2022 Best Article in Journal of Urban Affairs Award. Grants and Funding: Includes projects on housing policies in Copenhagen, socio-economic empowerment of coastal communities, and pandemic-era urban governance transformations. Labs/Teams: Leads the Land Management & Governance research group at AAU, collaborating on interdisciplinary projects involving urban planning, policy analysis, and community engagement.
Reimer Ivang is a Guest Researcher at the Department of Communication and Psychology within The Faculty of Social Sciences and Humanities at Aalborg University. His research focuses on digitalization strategy, innovation management, circular economy, and competitive advantage in SMEs. He has led or participated in 10 major projects since 2001, including initiatives on digital transformation, internationalization of SMEs, and educational methodologies like Problem-Based Learning (PBL). Notable research contributions include works on sustainable business models, the impact of e-commerce on traditional retail, and the role of digital natives in organizational settings. He co-authored the 2025 book Forestillingskraft: Tag ansvar og skab ny vækst , exploring imaginative forces in business growth. His work has received recognition through two Ivey Publishing Bestseller Awards (2024) for case studies on circular economy strategies. He actively engages with industry through talks on digital megatrends, leadership, and AI in marketing. Ivang has collaborated with institutions across Denmark, Poland, Egypt, India, and China through projects like the SINET internationalization network. Advisory activities include supervising one PhD student and contributing to educational initiatives such as feedback structures in project-based learning. His research outputs span 44 publications across books, reports, and peer-reviewed articles, addressing themes from digital strategy frameworks to sustainability in regional businesses.
Frank Gertsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University. His research focuses on Innovation Management, Entrepreneurship, and Digital Disruption. He has led numerous projects including FLIP (Flexible Laser Integrated Production) and SMILE (Smart Manufacturing Innovation, Learning-labs, and Entrepreneurship), and currently contributes to interactive production systems and circular economy initiatives. Current Position: Professor at Aalborg University Key Research Areas: Innovation Management, Entrepreneurship, Digital Disruption Leadership Roles: Project Lead for FLIP (2023-2026), SMILE (2022-2024) International Experience: Eminent Research Visitor at University of Western Sydney His recent publications explore digital transformation and circular economy entrepreneurship, with 15+ articles since 2020. He has supervised 1 PhD student and collaborated extensively with industry partners through consultancy work and research projects. Notable recognition includes the Danish Industry Foundation Research Professorship in Innovation Management. His work integrates theoretical frameworks with practical implementation across manufacturing and SME sectors.
Jana Lasser is Professor for Data Analysis at the University of Graz and leads the Complex Social & Computational Systems research group at the interdisciplinary IDea_Lab. She is also Associate Faculty at the Complexity Science Hub Vienna (CSH), reflecting her deep engagement with complex systems research across institutions. Her educational background includes a PhD in Physics from Georg-August-University of Göttingen, based on research at the Max Planck Institute for Dynamics and Self-Organization. She held postdoctoral and visiting positions at the Medical University of Vienna, Graz University of Technology (as a Marie Curie Fellow), and RWTH Aachen (as interim professor) before joining the University of Graz in 2024. Her research centers on emergent phenomena in complex social systems, using machine learning, data science, NLP, and computational modeling. Key interests include misinformation, counterspeech, social media algorithms, mental health in academia, and pattern formation in geophysical systems. She is a leading voice in open science, data literacy, and reforming academic culture. Her recent publications (2023–2025) reveal a strong interdisciplinary trend, bridging computational social science, public health, political communication, and geophysics. Many papers focus on misinformation, political discourse, and algorithmic governance, often using large-scale social media data. Others explore mental health, academic labor, and foundational geophysical processes, demonstrating her wide-ranging analytical expertise. ERC Starting Grant 101160928 (DeSiRe) FWF standalone project P 37280-N netidee SCIENCE prize Open Knowledge Fellow of the Wikimedia Foundation (2019/2020) Marie Curie Fellow Jana Lasser actively mentors and advises through her leadership of major research projects and initiatives. She leads the Survey Special Interest Group in the COST Action on Researcher Mental Health and co-founded the Network Against Abuse of Power in Science. Her research has been supported by prestigious grants including an ERC Starting Grant and FWF funding. She has developed and taught numerous open-access courses in computational social science, Python, and data literacy, emphasizing reproducibility and educational outreach. She leads the Complex Social & Computational Systems research group at IDea_Lab and is a key figure in the Complexity Science Hub Vienna. Her work on the Schwurbelarchiv and agent-based models for healthcare resilience demonstrates her leadership in building and utilizing large-scale data infrastructures for societal benefit.
Luca Maria Aiello is a Professor and Data Science Research Group Leader at the IT University of Copenhagen 's Department of Digital Design. He heads the education program for the Master of Data Science degree while co-leading the Networks, Data, and Society research group. His research spans computational social science , social media analysis , and network science , with recent focus on: Urban social connectivity patterns Sleep quality and social dimensions Financial collective action on Reddit COVID-19 pandemic's impact on dreaming Climate change discourse on TikTok Current research projects include COCOONS (Collective Coordination through Online Social Media) funded by the Carlsberg Foundation (2023-2025), and multiple grants for the International Conference on Computational Social Science (IC2S2) from Danish Data Science Academy and Otto Mønsteds Fond. Dr. Aiello has received significant recognition including the 2022 Research Environment of the Year award, with his work being covered by 16 news outlets , 47 X (Twitter) users , and 3 Facebook pages .
