Mats Danielson

Guest 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

Svanberg, J., Ardeshiri, T., Samsten, I., Öhman, P., Neidermeyer, P.E., Rana, T., Semenova, N., & Danielson, M. (2022). Corporate governance performance ratings with machine learning. Intelligent Systems in Accounting, Finance and Management 29 (1) 50-68. 10.1002/isaf.1505.

Araújo, M., Ekenberg, L. , Danielson, M., & Confraria, J. (2022). A Multi-Criteria Approach to Decision Making in Broadband Technology Selection. Group Decision and Negotiation 31 (2) 387-418. 10.1007/s10726-021-09772-9.

Danielson, M. & Ekenberg, L. (2022). Comparing Cardinal and Ordinal Ranking in MCDM Methods. In: Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis. Eds. de Almeida, A.T., Ekenberg, L. , Scarf, P., Zio, E., & Zuo, M.J., pp. 29-40 Springer. ISBN 978-3-030-89647-8 10.1007/978-3-030-89647-8_2.

Danielson, M., Ekenberg, L. , & Larsson, A. (2022). Evaluating Multi-criteria Decisions Under Conditions of Strong Uncertainty. In: Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis. Eds. de Almeida, A.T., Ekenberg, L. , Scarf, P., Zio, E., & Zuo, M.J., pp. 41-55 Springer. ISBN 978-3-030-89647-8 10.1007/978-3-030-89647-8_3.

Danielson, M., Ekenberg, L. , Komendantova, N. , & Mihai, A. (2022). Evidence-Based Methods for the Development of Computationally Supported Epidemic-Combating Policies. In: New Trends in Intelligent Software Methodologies, Tools and Techniques. pp. 363-373 IOS Press. 10.3233/FAIA220266.