Eawag - Swiss Federal Institute of Aquatic Science and Technology

In SIAM, we develop and apply models and formal techniques in order to understand, demonstrate, and predict the behavior of natural, technical, social and economical systems that pertain to water and other natural resources. Read more

Flapper skate, a Critically Endangered species, roam the rugged seabed around Scotland. A new approach makes it possible to track their movements precisely and thus take targeted measures to protect them. (Photo: Simon Bradley)

November 27, 2025 –

A new combination of data and statistical algorithms makes it possible for the first time to precisely track the movements of animals deep underwater. An initial study of flapper skate on the seabed around Scotland will help to develop targeted measures to conserve these Critically Endangered animals and designate suitable protected areas. The results have now been published in Science Advances.

26.03.2026,

4.00 pm

Eawag Dübendorf, FC-C20

Balancing Food and Water: Trade-offs in Land and Irrigation Investments in the Global South

31.May. - 05.06.2026,

9.00 am

Kastanienbaum

Summer School in Bayesian Methods for Environmental Modelling

Bridging the gap between data science and mechanistic modelling for a better understanding of community composition.

Data science and mechanistic models for species composition

Heterogeneous data platform for operational modeling and forecasting of Swiss lakes in collaboration with the Swiss Data Science Center.

Datalakes - data science forecasts for Swiss lakes

Deep Neural Networks (DNNs) have shown empirical performance but they are still nevertheless a black-box function modeling data

Universal Aspects of Deep Neural Networks

Scalable Bayesian inference framework for uncertainty quantification in stochastic models using thousands of processors in parallel at the Swiss Supercomputing Center and ETH Zurich.