Mats Danielson
Senior Research Scholar
Cooperation and Transformative Governance Research Group
Advancing Systems Analysis Program
Biography
Mats Danielson joined the Cooperation and Transformative Governance (CAT) Research Group within the Advancing Systems Analysis (ASA) Program in 2021 as a Guest Senior Research Scholar. He is also a Full Professor in Computer and Systems Sciences at Stockholm University. He is a former Dean of the Social Science Faculty and a former Vice President of External Relations and Innovation. He has a PhD from the Royal Institute of Technology (KTH), Sweden.Danielson has been a researcher in the area of risk and decision analysis, especially within development of algorithms and procedures, for more than 20 years. He has further a long-time experience as an IT and management consultant, creating national-wide information systems.
Danielson is the author of around 200 peer-reviewed journal and conference papers on risk, decision analysis, and eGovernment.
Last update: 29 MAR 2021
Publications
Abdel‐Fattah, D., Danielson, M., Ekenberg, L. , Hock, R., & Trainor, S. (2024). Application of a structured decision‐making process in cryospheric hazard planning: Case study of Bering Glacier surges on local state planning in Alaska. Journal of Multi-Criteria Decision Analysis 31 (1-2) e1825. 10.1002/mcda.1825.
Svanberg, J., Ardeshiri, T., Samsten, I., Öhman, P., Neidermeyer, P.E., Rana, T., Maisano, F., & Danielson, M. (2023). Must social performance ratings be idiosyncratic? An exploration of social performance ratings with predictive validity. Sustainability Accounting, Management and Policy Journal 14 (7) 313-348. 10.1108/SAMPJ-03-2022-0127.
Lakmayer, S., Danielson, M., & Ekenberg, L. (2023). Aspects of Ranking Algorithms in Multi-Criteria Decision Support Systems. In: New Trends in Intelligent Software Methodologies, Tools and Techniques. pp. 63-75 IOS Press. 10.3233/FAIA230224.
Danielson, M., Ekenberg, L. , Komendantova, N. , & Mihai, A. (2023). A risk-based decision framework for policy analysis of societal pandemic effects. Frontiers in Public Health 11 e106455. 10.3389/fpubh.2023.1064554.
Lakmayer, S., Danielson, M., & Ekenberg, L. (2023). Automatically Generated Weight Methods for Human and Machine Decision-Making. In: Advances and Trends in Artificial Intelligence. Theory and Applications. Eds. Fujita, H., Wang, Y., Xiao, Y., & Moonis, A., pp. 195-206 Cham, Switzerland: Springer. ISBN 978-3-031-36819-6 10.1007/978-3-031-36819-6_17.