![Christian Folberth profile picture Christian Folberth profile picture](/sites/default/files/styles/thumbnail/public/module-files/mis_staff_sync/profile-images/40870_2024_7_17_18_32.jpg?itok=buT2xPhV)
Christian Folberth
Senior Research Scholar
Agriculture, Forestry, and Ecosystem Services Research Group
Biodiversity and Natural Resources Program
Contact
Biography
Chris Folberth is a senior researcher in the Agriculture, Forestry, and Ecosystem Services Research Group of the IIASA Biodiversity and Natural Resources Program. The main focus of his research is process-based agro-ecosystem modeling to improve the understanding of the interactions between crop and soil management, climate impacts, and adaptation potentials. He also serves as the group’s liaison to community networks such as the Intersectoral Impact Model Intercomparison Project (ISIMIP) and the Global Gridded Crop Model Intercomparison (GGCMI) initiative.Besides process-based modeling, he leads initiatives on data-driven and hybrid modeling to harness the combined advantages of both process-based and machine-learning methods. He also engages in transdisciplinary research that aligns methods and tools with stakeholder needs.
Prior to joining IIASA in 2013, he was a research assistant at the Swiss Federal Institute of Aquatic Science and Technology (EAWAG) and the Federal Institute of Technology Zurich (ETH Zurich), where he also acquired a doctoral degree. In the years 2015-2016, he completed a research fellowship at Ludwig Maximilian University Munich, focusing on geographies of substance flows in the agro-food system.
Last update: 21 MAY 2024
Publications
De Vos, K., Janssens, C., Jacobs, L., Campforts, B., Boere, E., Kozicka, M. , Havlik, P. , Folberth, C. , Balkovič, J. , Maertens, M., & Govers, G. (2023). Rice availability and stability in Africa under future socio-economic development and climatic change. Nature Food 10.1038/s43016-023-00770-5.
Goulart, H.M.D., van der Wiel, K., Folberth, C. , Boere, E., & van den Hurk, B. (2023). Increase of Simultaneous Soybean Failures Due To Climate Change. Earth's Future 11 (4) e2022EF003106. 10.1029/2022EF003106.
Ermolieva, T., Zagorodny, A., Bogdanov, V.L., Wang, G., Havlik, P. , Rovenskaya, E. , Komendantova, N. , Kahil, T. , Ortiz-Partida, J.- P., Balkovič, J. , Skalský, R. , & Folberth, C. (2023). Consistent linkage of distributed food, water, energy, environmental (FWEE) models: perspectives of data and modeling platform for integrated FWEE security NEXUS analysis and planning. In: EGU General Assembly 2023, 23-28 April 2023, Vienna.
Ermolieva, T., Ermoliev, Y., Havlik, P. , Derci Augustynczik, A.L., Komendantova, N. , Kahil, T. , Balkovič, J. , Skalský, R. , Folberth, C. , Knopov, P.S., & Wang, G. (2023). Connections between robust statistical estimation, robust decision making with two-stage stochastic optimization, and robust machine learning problems. Cybernetics and systems analysis 59 (3) 33-47.
Ermolieva, T., Zagorodny, A., Bogdanov, V., Knopov, P., Gorbachuk, V., Zaslavski, V., Havlik, P. , Derci Augustynczik, A.L., Skalský, R. , Balkovič, J. , Folberth, C. , Kahil, T. , & Wang, G. (2022). Big Data, Artificial Intelligence and Machine Learning problems for Robust Food-Water-Energy NEXUS Analysis and Risk-Adjusted Agricultural Insurance Schemes. In: 11th International Conference “V.M. Glushkov’s Lectures”, 8th December 2022, Kiev, Ukraine.