Eawag | Establishing machine learning as alternative to fish testing

Researchers at Eawag and the Swiss Data Science Center have trained AI algorithms with a comprehensive ecotoxicological dataset. Now their machine learning models can predict how toxic chemicals are to fish.

Data science helps deliver more precise and actionable information to policymakers and the population thanks to improved data quality. The Swiss Data Science Center collaborates with the Swiss Federal Office of Energy to push further digital innovation in the energy sector.

It is vital to design services and analytics that enable individual privacy protection and self-determination over their data, in such a way that enhances data synergy and empower weaker parties to access and consume data in a fair and responsible way.