Inputs for Societal Decision Making

Integrating social-, natural- and engineering sciences

Decisions regarding the allocation and management of water resources, investment in water infrastructure and environmental protection almost always involve conflicting interests. Scientific input can help decision makers and resource managers anticipate the consequences of interventions. Socio-economic and policy analysis provides insight into the contexts in which decisions are made and implemented.

News

May 25, 2020

126 Swiss researchers, including 6 from Eawag, want to draw the attention their Swiss compatriots to the scientific evidence showing the link between the emergence of pandemics and human disturbance of the natural environment.

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May 21, 2020

Many experts describe the health effects of drinking water contaminated with toxic concentrations of arsenic as the greatest mass poisoning in human history. A risk model developed by Eawag researcher Joel Podgorski now shows that up to 220 million people worldwide could be affected.

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Events

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Scientific publications

Friedrich, M.; Balasundaram, T.; Muralidharan, A.; Raman, V.R.; Mosler, H.-J. (2019) Increasing latrine use in rural Karnataka, India using the risks, attitudes, norms, abilities, and self-regulation approach: a cluster-randomized controlled trial, Science of the Total Environment, 707, 135366 (9 pp.), doi:10.1016/j.scitotenv.2019.135366, Institutional Repository
Hipp, A.; Binz, C. (2020) Firm survival in complex value chains and global innovation systems: evidence from solar photovoltaics, Research Policy, 49(1), 103876 (16 pp.), doi:10.1016/j.respol.2019.103876, Institutional Repository
Kwasnicka, D.; Inauen, J.; Nieuwenboom, W.; Nurmi, J.; Schneider, A.; Short, C. E.; Dekkers, T.; Williams, A. J.; Bierbauer, W.; Haukkala, A.; Picariello, F.; Naughton, F. (2019) Challenges and solutions for N-of-1 design studies in health psychology, Health Psychology Review, 13(2), 163-178, doi:10.1080/17437199.2018.1564627, Institutional Repository
Blumensaat, F.; Leitão, J. P.; Ort, C.; Rieckermann, J.; Scheidegger, A.; Vanrolleghem, P. A.; Villez, K. (2019) How urban storm- and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond – a horizon scan, Environmental Science and Technology, 53(15), 8488-8498, doi:10.1021/acs.est.8b06481, Institutional Repository
Liu, X.; Tang, Q.; Liu, W.; Veldkamp, T. I. E.; Boulange, J.; Liu, J.; Wada, Y.; Huang, Z.; Yang, H. (2019) A spatially explicit assessment of growing water stress in China from the past to the future, Earth's Future, 7(9), 1027-1043, doi:10.1029/2019EF001181, Institutional Repository
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Experts

Dr. Christian Binz
  • decentralized systems
  • innovation
  • global change
  • sustainable transitions
  • urban water management
Dr. Fabrizio Fenicia
  • groundwater
  • modeling
Dr. Manuel Fischer
  • environmental policy
Prof. Dr. Janet Hering
  • biogeochemistry
  • sustainable water management
  • water treatment
  • water quality
Dr. Sabine Hoffmann
  • sustainable water management
  • transdisciplinary research
Prof. Dr. Karin Ingold
  • science-policy interface
  • environmental policy
Dr. Judit Lienert
  • decision analysis
  • transdisciplinary research
  • sustainable water management
  • stakeholder participation
Dr. Ivana Logar
  • decision analysis
  • sustainable water management
  • environmental economics
Prof. Dr. Max Maurer
  • wastewater
  • decentralized technologies
  • sustainable water management
  • urban sanitation
  • urban water management
  • urine separation
Prof. Dr. Eberhard Morgenroth
  • wastewater
  • decentralized technologies
  • nutrients
  • urban water management
  • urban planning
  • urine separation
Prof. Dr. Peter Reichert
  • decision analysis
  • modeling
Dr. Nele Schuwirth
  • decision analysis
  • modeling
  • surface water
  • transdisciplinary research
Dr. Jonas Sukys
  • modeling
  • transdisciplinary research
Prof. Dr. Bernhard Truffer
  • wastewater
  • decentralized technologies
  • transdisciplinary research
  • hydropower
Prof. Dr. Hong Yang
  • decision analysis
  • modeling