Marc van den Homberg is the scientific lead of 510, an initiative of The Netherlands Red Cross. He is a full Professor on the Princess Margriet Chair ā€œData for disaster resilienceā€ atĀ ITC/Faculty of Geo-Information Science and Earth Observation, focusing on enhancing the quality of risk and impact data, trigger models for anticipatory action (preparedness), and selecting, monitoring, and building evidence for nature-based solutions (prevention).Ā 

He is a member of IFRCs Early Action Protocol Validation Committee Advisory, FAO'sĀ IPC Advanced Technology and Artificial Intelligence Working Group, Expert on the WMO Standing Committee on Hydrological Services (SC-HYD) and of theĀ Innovation Center for Artificial Intelligence (ICAI) Advisory Board. He is also onĀ NWO user’s committee of Veni grant Bridging the gap between Artificial Intelligence and society: Developing responsible and viable solutions for geospatial dataĀ and of NWO Applied and Engineering SciencesĀ Open Technology ProgramĀ Learning from old maps to create new ones

Marc has helped shape the growth of 510 from its inception in 2016 by developing and implementing an applied research agenda tailored to the needs of the Red Cross Red Crescent Movement and establishing close collaborations with universities and knowledge institutes. This has led to evidence and peer review of products and services -that the Netherlands Red Cross has introduced into the Movement- aiming to improve the quality, speed, and cost-effectiveness of humanitarian action. Before joining 510, Marc led and co-founded the ICT for Development (ICT4D) team within TNO, the Netherlands Research and Technology Organization, with which he implemented pro-poor ICT innovations. Marc holds a PhD in physics from Delft University of Technology, an MSc in physics from Utrecht University, an MBA from Rotterdam School of Management, and a disaster management certificate from IFRC/Tata Institute of Social Sciences.

Expertise

  • Earth and Planetary Sciences

    • Malawi
    • Philippines
    • Risk Management
    • Machine Learning
    • Risk Reduction
    • Climate Change
  • Computer Science

    • Early Warning System
    • Case Study

Organisations

Ancillary activities

  • The Netherlands Red CrossScientific lead at 510, an initiative of the Netherlands Red Cross
  • FAOWorking group member IPC Advanced Technology and Artificial Intelligence Working Group
  • WMOExpert WMO Standing Committee on Hydrological Services (SC-HYD)
  • Innovation Center for Artificial Intelligence (ICAI)Advisory Board

Publications

2026

Multi-hazard risk assessment and management: pathways for the Sendai Framework and beyond (2026)Geoscience Communication, 9(2), 185-221. Tiggeloven, T., Raymond, C., de Ruiter, M. C., Sillmann, J., Thieken, A. H., Buijs, S. L., Ciurean, R., Cordier, E., Crummy, J. M., Cumiskey, L., De Polt, K., Duncan, M., Ferrario, D. M., Jäger, W. S., Koks, E. E., van Maanen, N., Murdock, H. J., Mysiak, J., Nirandjan, S., … Ward, P. J.https://doi.org/10.5194/gc-9-185-2026Workshop report—Vulnerability in multi-hazard risks: Addressing its complexity and dynamics (2026)iScience, 29(4). Article 115250. Santos, A. P., De Angeli, S., Hanf, F. S., Mirbach, C., van Maanen, N., Benson, V., de Ruiter, M. C., Dunant, A., Terzi, S., Schweizer, P. J., Nunes Carvalho, T. M., Madruga de Brito, M., De Polt, K., Šakić Trogrlić, R. & van den Homberg, M.https://doi.org/10.1016/j.isci.2026.115250Operationalising local knowledge to enhance climate services: evidence from a systematic review (2026)Climate Services, 42. Article 100665. Rastogi, S., Werner, M., van Cauwenbergh, N. & van den Homberg, M. J. C.https://doi.org/10.1016/j.cliser.2026.100665Invited perspectives: Science for comprehensive disaster and climate risk management (2026)[Working paper › Preprint]. Copernicus (E-pub ahead of print/First online). Ward, P. J., de Ruiter, M. C., Boersma, K., Cesuroglu, T., Clark, N., Comes, T., Dahal, A., Fransen, S., Verschuur, J., Anthonj, C., Balakrishnan, S., de Bruijn, J., Hendriks, E., Fluhmann, R. M., Perlaviciute, G., Steg, L., van den Homberg, M., van Westen, C., Atun, F., … van Maanen, N.https://doi.org/10.5194/egusphere-2026-1331Designing sub-regional anticipatory action for hurricanes in the Eastern Caribbean (2026)[Contribution to conference › Abstract] EGU General Assembly 2026. van den Homberg, M., Teklesadik, A. D., Markodimitraki, C., Viton, M.-T., Mouton, J.  ., Duchemin, M., de Valk, L. & Kumbikano, M.https://doi.org/10.5194/egusphere-egu26-23190Relationships between hazard, conflict, and displacement for the 2022 flood and 2023 drought events in Somalia (2026)[Contribution to conference › Abstract] EGU General Assembly 2026. Abdillahi, O., van den Homberg, M., Ettema, J. & Matanó, A.https://doi.org/10.5194/egusphere-egu26-23029River flood impact forecasting to support humanitarian anticipatory action (2026)[Contribution to conference › Abstract] EGU General Assembly 2026. Kobler, E., McCaughey, J., Severino, L., Riedel, L., van den Homberg, M., Teklesadik, A., Milano, L. & Bresch, D.https://doi.org/10.5194/egusphere-egu26-22105Multiple criteria-based assessment of nature-based solutions for flood management: A systematic review (2026)Science of the total environment, 1013, 180948. Article 180948. Gallois, L., Hirtz, E., van den Homberg, M., Sirisena, J., Mozumdar, S. & Cinelli, M.https://doi.org/10.1016/j.scitotenv.2025.180948Remote sensing for disaster risk management: Advances and limitations (2026)In Comprehensive Remote Sensing- (pp. 257-279) (Comprehensive Remote Sensing; Vol. 9). Elsevier. Kerle, N. & van den Homberg, M.https://doi.org/10.1016/B978-0-443-13220-9.00044-5

2025

The role of artificial intelligence for early warning systems: Status, applicability, guardrails, and ways forward (2025)iScience, 28(11). Article 113689. Tiggeloven, T., Pfeiffer, S., Matanó, A., van den Homberg, M. J. C., Thalheimer, L., Reichstein, M. & Torresan, S.https://doi.org/10.1016/j.isci.2025.113689

Research profiles

Courses academic year 2026/2027

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2025/2026

Courses academic year 2024/2025

Address

University of Twente

Langezijds (building no. 19), room 1418
Hallenweg 8
7522 NH Enschede
Netherlands

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