The objective of the WAT Group is to provide the scientific foundation needed for addressing the quest for water security across scales and to help bridge science-policy-practice gaps related to water management by leading global efforts on integrated assessment of water resources and exploring transformation pathways towards a water secure future.
Water plays a central role in all human activities and needs to be managed efficiently and sustainably. The WAT Group pushes the boundary of transdisciplinary water science enabled by the institute’s recognized expertise in systems science approaches, to provide the scientific knowledge needed to address the quest for water security. The group aims to lead global efforts on integrated assessment of water supply and demand and identify solutions options that improve water scarcity, ameliorate water quality, and enhance resilience to extreme events, while at the same time engaging with key stakeholders at different levels to translate science into policy.
The group’s research has informed the development of various widely used models, which will continually be refined and extended to enable application and analysis at policy-relevant spatial scales. The group contributes to several IIASA research themes including biodiversity and ecosystem services, production and consumption, technology and innovation, and governance and institutions, by providing the water resources research expertise required for the development of a systemic approach to resolving sustainability issues.
Models, tools, datasets
03 October 2022
22 September 2022
10 May 2022
21 October 2022
Julian Joseph writes about a recent study in which researchers used a novel concept in the economic modeling of disaster risk reduction to explore how damages from disasters can be compensated for and what effect they have on economic growth.
08 September 2022
01 June 2022
Joseph, J., van Dijk, M., & Krisztin, T. (2023). Do Large Estates Benefit Smallholder Neighbours? Evidence from Malawi. The Journal of Development Studies 1-23. 10.1080/00220388.2022.2147831.
Awais, M. , Vinca, A. , Parkinson, S., McPherson, M., Byers, E. , Willaarts, B. , Muhamma, A., & Riahi, K. (2022). Replenishing the Indus Delta through multi-sector transformation. Frontiers in Environmental Science 10 e958101. 10.3389/fenvs.2022.958101.
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.
Vinca, A. , Awais, M. , Mastrucci, A. , van Ruijven, B. , Riahi, K. , Byers, E. , Frank, S. , Satoh, Y., & Krey, V. (2022). Interaction of Mitigation vs Adaptation Pathways with Environmental Boundaries, Natural Hazards, and Sustainability Objectives Across the Energy, Water and Land Sectors. In: AGU Fall Meeting 2022, December 2022.