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Lars Bo Jeppesen serves as Professor of Innovation Management at Copenhagen Business School's Department of Strategy and Innovation, focusing on digital economy innovation through crowd-based mechanisms, crowdfunding, user communities, and platform ecosystems. His work bridges academic research with practical applications for industry and policy. Education: Master's degree from University of Copenhagen PhD from Copenhagen Business School Professor Jeppesen's research examines how digital platforms transform innovation processes, emphasizing user-driven ecosystems and strategic implications for firms. He investigates crowdfunding dynamics, entrepreneurial financing mechanisms, and the interplay between intrinsic motivation and monetary incentives in crowd innovation, with findings applicable to both startups and established corporations. His recent publications (2020-2025) reveal consistent exploration of platform economics, digital business models, and innovation policy. Key trends include strategic responses to piracy, AI platform competition, freemium model optimization, and the role of social movements in non-commercial innovation, primarily published in top-tier journals like Research Policy and Strategic Management Journal. Scientific Awards: No awards documented in source material Professor Jeppesen advises European and Asian governments on innovation policy while collaborating with leading corporations through projects like the Danish User-Centered Innovation Lab (co-founded with MIT's Eric von Hippel). His current research initiatives include 'Crowdfunding for Youth Entrepreneurship in Tanzania' and 'The Co-Existence of Prosocial Intrinsic Motivation and Monetary Incentives,' supported by field experiments and ecosystem analyses. He directs the Danish User-Centered Innovation Lab, which integrates academic researchers and industry partners to develop practical innovation tools for capturing distributed knowledge, with applications in technology strategy and open innovation frameworks.

• Innovation
• Technology Strategy
• Crowd-based Innovation
• +4 more

Didier Sornette is Professor of Entrepreneurial Risks at the Department of Management, Technology and Economics (D-MTEC), Swiss Federal Institute of Technology Zurich (ETH Zurich). He is also Professor of Finance at the Swiss Finance Institute, Associate Member of the Department of Physics and Department of Earth Sciences at ETH Zurich, Principal Investigator at the Future Resilient Systems Center at the National University of Singapore, and Specially Appointed Professor at the Institute of Innovative Research, Tokyo Institute of Technology. His research centers on the theory and application of complex systems, particularly focusing on the prediction and control of extreme events—termed 'dragon-kings'—in financial markets, geophysical systems, and socio-economic networks. He employs nonlinear dynamical models, statistical analysis, and feedback mechanisms to detect early warning signals of crises. The available publication highlights his work at the intersection of complexity science and democratic governance, suggesting a growing interest in applying systemic risk methodologies to societal structures. This reflects a broad trend in his research: leveraging quantitative models for real-world systemic instabilities across disciplines. Director, Financial Crisis Observatory (FCO) Co-founder, ETH Risk Center Principal Investigator, Future Resilient Systems, National University of Singapore Specially Appointed Professor, Tokyo Institute of Technology He leads interdisciplinary teams working on InnovWiki, a collaborative platform integrating idea development with prediction markets and data visualization. His lab initiatives emphasize open collaboration, crowd-based evaluation, and real-time risk monitoring. While specific awards and students are not listed in the provided text, his leadership in major research centers and global observatories underscores significant recognition and mentorship activity.

• Complex Systems
• Risk Analysis
• Financial Crises and Bubbles
• +11 more

Anders Schmidt Kristensen is an Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Esbjerg Energy Section and the Danish Centre for Risk and Safety Management. His work spans mechanical engineering, computational mechanics, and risk analysis, with a focus on structural design optimization and safety systems. Specializes in CAD-integrated structural modeling and finite element method (FEM) simulations Active in offshore energy and space debris mitigation research Key technologies: drag sail systems for satellite deorbiting, wind turbine power quality control, and tube-tubesheet joint modeling Recent research trends include: Structural health monitoring under thermal stress Optimized evacuation protocols for sports venues Advanced numerical modeling techniques for industrial components

• Mechanical Engineering
• Risk Analysis
• CAD
• +8 more

Mark Blach-Ørsten is a Professor in the Department of Communication and Humanities at Roskilde University, Denmark. He holds a prominent position within the Journalism and Democracy Center and the Center for News Research, where he leads significant investigations into media systems, journalistic practices, and democratic processes. His institutional presence extends to the Center for Digital Citizenship, reflecting his comprehensive engagement with contemporary media challenges. Professor Blach-Ørsten's research spans critical areas including media framing , political journalism , journalism ethics , environmental journalism , and the complex relationship between democracy and media . His work systematically examines how media coverage shapes public understanding of political issues, with particular attention to political scandals , social media dynamics , and transnational governance . He has established himself as a leading expert on media credibility in the digital age and the evolving challenges facing news media systems across diverse political contexts. His recent publications demonstrate a concentrated focus on the economic sustainability of news media, particularly analyzing the relationship between public service and private news organizations. Blach-Ørsten's research reveals how public service media can positively influence the broader media ecosystem through what he terms a 'race to the top' or 'crowding in' effect. His methodological approach combines theoretical frameworks like institutional theory with practical applications for media organizations navigating digital transformation and changing audience behaviors. RUC's research dissemination prize (2019) Professor Blach-Ørsten directs and participates in numerous significant research initiatives, most notably the long-running 'Danes' use of news media' project (ongoing since 2015) and the 'Who Makes the Climate News?' project (2024-2027). He has successfully secured funding from the Danish Ministry of Culture for media research and maintains active collaborations with international organizations including the Reuters Institute for the Study of Journalism. His advisory work encompasses media policy development and strategic guidance for news industry challenges. As a core member of Roskilde University's Center for News Research, he contributes to comprehensive studies examining news media consumption patterns, quality metrics, and economic models. The center maintains close working relationships with Danish and international media organizations to understand evolving news practices and audience behaviors in the rapidly changing digital media environment. His extensive media presence, with nearly 900 press/media mentions, demonstrates his significant influence on public discourse about media and democracy in Denmark.

• Communication
• Journalism
• Media Framing
• +12 more

Morten Rieger Hannemose is an Assistant Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His research focuses on computer vision, medical imaging, 3D reconstruction, and AI-driven healthcare solutions. He is actively involved in projects like 'Fighting Cancer with Generative AI' and 'Decision support AI for Skin Lesions,' supervising multiple PhD students in these domains. His work contributes to UN Sustainable Development Goals related to health and innovation. Research interests include neural networks, medical image analysis, and computational imaging. Notable achievements include developing methods for digitizing material appearances and estimating diagnostic difficulty in skin lesion diagnosis. He collaborates internationally on topics such as monocular 3D pose estimation and multimodal data fusion. Morten has supervised PhD students in areas like crowd counting through remote sensing, generative AI for cancer diagnostics, and diffusion models for image segmentation. His projects often bridge theory and application, such as creating the 'Sportspose' 3D sports pose dataset. His email is mohan@dtu.dk , and his website is mortenhannemose.github.io .

• Computer Vision
• Medical Imaging
• 3D Reconstruction
• +3 more

Daniel Barkoczi is a Research Fellow at the University of Southern Denmark's Faculty of Business and Social Sciences, specializing in computational models of collective behavior. His research examines how individual decision-making strategies interact with social structures to produce group-level outcomes in domains including organizational learning, innovation diffusion, and collective problem-solving. He holds a PhD in Psychology from Humboldt University Berlin and a Master's in Cognitive and Decision Science from University College London. Prior to joining SDU, he conducted research at the Max Planck Institute for Human Development and Linköping University's Institute for Analytical Sociology. Barkoczi's research integrates computational modeling, behavioral experiments, and network analysis to investigate: Mechanisms of social influence in networked environments Collective adaptation in complex systems Optimization of group problem-solving strategies Algorithmic impacts on opinion formation Cross-environmental analysis of search behavior His publication trends show consistent focus on collective intelligence phenomena, with recent work exploring adaptive systems (2023), algorithmic influence (2021), and team-based problem solving (2020). Earlier research established foundations in social learning strategies (2016-2018) and recommendation systems (2015-2017). Barkoczi collaborates with the Strategic Organization Design (SOD) research group and maintains affiliations with international research networks including the Max Planck Institute and Linköping University.

• Collective Behavior
• Computational Modeling
• Social Networks
• +4 more

Marion Poetz is an Associate Professor at Copenhagen Business School within the Department of Strategy and Innovation . Her research focuses on citizen science, open innovation in science (OIS), and collaborative research practices. She explores how crowds and citizens can contribute to defining research agendas, problem-solving, and enhancing scientific transparency through frameworks like co-creation and open science. Her work bridges interdisciplinary collaboration, digital technologies, and the societal impact of scientific processes. Key areas of expertise include analyzing the role of artificial intelligence in scientific collaboration, designing organizational structures for open innovation, and evaluating the effectiveness of crowd-sourcing in science. She has published over 58 research outputs, including books, journal articles, and encyclopedia chapters. Her research contributes to UN Sustainable Development Goals, emphasizing innovation-driven solutions for societal challenges. Poetz has engaged in media discussions on topics like crowdsourcing in education and innovation leadership, and has supervised 12 academic works. Her collaborative networks span multiple countries, reflecting her commitment to global scientific exchange.

• Citizen Science
• Crowd Science
• Open Innovation
• +3 more

Robin Engelhardt serves as a Teaching Associate Professor in the Section for Consumption, Bioethics and Governance at the University of Copenhagen's Department of Food and Resource Economics (Faculty of Science). His interdisciplinary career bridges mathematical biology, social cognition, and science communication, with recent work focusing on computational modeling of social phenomena and educational game design. Academic Background: PhD in Complex Systems, Niels Bohr Institute (1995-1998) MSc in Theoretical Biology, University of Copenhagen (1992-1994) BA in Comparative European Literature, University of Copenhagen Teaching and Learning in Higher Education Programme (2014-2015) Engelhardt's research examines computational social science through complex systems theory, with emphasis on social cognition, online experiment design, and game mechanics. His work integrates philosophy of science with practical applications in collective decision-making, language evolution, and polarization dynamics. Recent projects analyze recursive belief reasoning in coordination games and wisdom-of-crowds phenomena in digital environments. Publication trends (2016-2022) reveal consistent interdisciplinary output spanning game theory, social media analysis, and science education. His articles demonstrate methodological innovation in modeling social cognition while addressing real-world challenges like research ethics and institutional science teaching. Key contributions include frameworks for interdisciplinary course design and computational investigations of shared knowledge limitations. Research Funding & External Roles: Engelhardt has secured grants from The Carlsberg Foundation, Trygfonden, Knud Højgaards Fond, The Danish Ministry of Children and Education, and European Union programs (e-Ten, IST). He maintains active science communication through Danish media outlets including Dagbladet Information and Ingeniøren, and has served as external lecturer at Aalborg University (2014-2016). His professional activities include judging FDB’s Green Idea Prize and developing publicly funded educational games through a personal consultancy.

• Computational Social Science
• Social Cognition
• Complex Systems
• +5 more

Guillermo Sergio Moreno Pescador serves as an Assistant Professor in the Department of Plant and Environmental Sciences (Section for Plant Glycobiology) at the University of Copenhagen's Faculty of Science, while also holding a Guest Researcher position at the Niels Bohr Institute's Biocomplexity group. His dual appointment reflects his interdisciplinary research bridging plant science and biophysics. Dr. Moreno Pescador's research focuses on membrane dynamics using advanced thermoplasmonic and optical imaging techniques. His work spans plant cell biology, membrane repair mechanisms, and protein-lipid interactions. He has developed innovative approaches combining AI-enhanced imaging with thermoplasmonic manipulation to study cellular processes at the subcellular level, with particular emphasis on plant systems. His recent publication trends (2022-2025) demonstrate consistent output in high-impact journals including Nano Letters and Frontiers in Plant Science . His research spans multiple subfields including plant morphodynamics, membrane phase segregation, photothermal materials applications, and AI-enhanced cellular imaging techniques. The interdisciplinary nature of his work is evident in collaborations across plant science, virology, and nanotechnology domains. Dr. Moreno Pescador has presented his research at venues including the 3rd ISBUC Annual Meeting and the Membrane Imaging Workshop, demonstrating active engagement in the scientific community. His work shows promising applications in both fundamental plant biology and broader biomedical contexts.

• Plant Biology
• Membrane Dynamics
• Glycobiology
• +4 more

Jakob Stoustrup is a Professor in the Department of Electronic Systems at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on control systems engineering with applications in smart grids, energy sustainability, and medical technology. He leads the Green Lab mission on sustainable Danish energy systems and has contributed to UN Sustainable Development Goals related to clean energy and climate action. Key roles: PI on major projects like ADAPT-T2D (Type 2 Diabetes Management) and BEO-COVID (pandemic modeling) Expertise: Smart grid control, fault-tolerant systems, renewable energy integration Leadership: Chair of AAU's Research Indicator Committee (2022-2023) Research interests span control theory fundamentals, climate change mitigation strategies, and interdisciplinary innovation frameworks like the BUMP portfolio system. Over 380+ publications and 47+ projects demonstrate his impact in energy systems, medical engineering, and pandemic response technologies. Active in media discussions on energy policy and smart infrastructure.

• Control Theory
• Smart Grid
• Energy Systems
• +5 more

Ioanna Lykourentzou is an Associate Professor at Utrecht University, leading the Collaborative Technologies Lab and coordinating Computing Science Master's and Information Sciences Honors Bachelor's programs. She holds a PhD and ECE degree from the National Technical University of Athens. Her research focuses on collaborative systems, combining computational science (machine learning, optimization) with social sciences (team dynamics, personality assessment). Education background includes a PhD and ECE degree from National Technical University of Athens. She has held postdoctoral and visiting roles at Carnegie Mellon University, INRIA Nancy-Grand Est, and Henri Tudor. Research interests span computational team formation, Human-AI collaboration, and cultural heritage accessibility. Recent work includes projects on GenAI in education (NWO Take-off grant), algorithmic team formation for game development (EU MSCA funding), and ethical AI frameworks. Active in open science initiatives as an Open Software Fellow and Ethics Review Board member. Key collaborations include MIT-Netherlands Seed Fund projects on Human-AI design, and interdisciplinary work in digital humanities through Utrecht's AI in Cultural Inquiry SIG. Her lab hosts researchers like Pedro Zambon (MSCA fellow) and Heleen Kerstholt (AI-enabled teamwork).

• Collaborative Systems
• Crowd Systems
• Machine Learning
• +5 more

Guido Cantelmo is an Assistant Professor at the Technical University of Denmark (DTU) within the Department of Technology, Management and Economics, specifically in the Division of Transport's Section for Transport Systems Modelling. His research leverages big data analytics and machine learning to address complex transportation challenges, with expertise spanning traffic flow modeling, demand estimation, shared mobility systems, and urban network optimization. He maintains active collaboration with international cities including Copenhagen, Munich, and Tel Aviv-Yafo for empirical validation of his models. His research integrates computational techniques such as Graph Neural Networks, meta-learning, and physics-informed AI with transportation theory. Primary domains include: Dynamic traffic assignment using real-time data sources Machine learning for imbalanced mobility datasets Emission impact modeling of urban fleets Behavioral analysis of shared mobility adoption Large-scale simulation calibration frameworks Publication analysis (2022-2025) reveals dominant themes: data-driven demand estimation (37% of recent works), machine learning metamodeling (27%), shared mobility optimization (20%), and urban policy impact studies (16%). Methodological innovations include transfer learning for sparse data and multi-city validation approaches. No scientific awards or student mentoring relationships are documented in available sources. Similarly, no information exists regarding research grants, laboratory affiliations, or educational background.

• Transportation Systems Modelling
• Machine Learning Applications
• Urban Mobility
• +2 more

Thomas Andersen Schmidt serves as a Clinical Professor in the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences, based at Blegdamsvej 3, 2200 Copenhagen N, Denmark. His institutional email is thomas.schmidt@regionh.dk, reflecting affiliation with the Capital Region of Denmark (Region H). His research spans Emergency Medicine, Critical Care, Telemedicine, Palliative Care, and Cardiovascular Pharmacotherapy, focusing on innovative solutions for emergency department operations and chronic disease management. Key interests include telemedicine-supported early discharge programs, digital health capability assessment, sepsis prognosis, and integration of rehabilitation with palliative care for cardiopulmonary conditions. His work emphasizes methodological rigor in clinical epidemiology and practical applications for patient-centered care. Analysis of his 2021-2025 publications reveals growing interdisciplinary collaboration, particularly in telemedicine implementation and cardiovascular pharmacotherapy. Recent studies show increasing focus on digital health solutions for respiratory infections and sepsis management, with strong Danish institutional partnerships and European Society of Cardiology involvement. His research demonstrates translational impact through clinical guideline references and significant social media engagement (e.g., 166 X users sharing one study). While no formal awards are listed, his work has been referenced in clinical guidelines, covered by news outlets, and widely disseminated academically (e.g., 79 Mendeley readers for one publication). This indicates substantial real-world influence across emergency medicine and cardiology domains. His mentorship activities are implied through multi-author studies and leadership in Danish emergency care research, though specific students or grants aren't detailed. Current projects suggest ongoing work in telemedicine feasibility and cardiovascular pharmacotherapy guidelines development. He collaborates extensively with the Capital Region of Denmark and European cardiology networks, particularly through the European Society of Cardiology Working Group on Cardiovascular Pharmacotherapy, driving innovations in emergency department crowding reduction and early warning systems.

• Emergency Medicine
• Critical Care Medicine
• Telemedicine
• +3 more