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ADORE | A benchmark dataset in ecotoxicology to foster the adoption of machine learning
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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.
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December 12, 2024
SDSC News - December 2024 Newsletter
SDSC News - December 2024 Newsletter
Dear SDSC Community, we are excited to introduce SDSC News, a platform to keep you informed about the latest developments, projects,...
SDSC Newsletters
November 22, 2024
The SDSC Establishes Permanent Presence at Biopôle with Support from Canton Vaud
The SDSC Establishes Permanent Presence at Biopôle with Support from Canton Vaud
Press Release: The Swiss Data Science Center Establishes a Permanent Presence at Biopôle with Support from the Canton of Vaud.
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November 5, 2024
Insights from the "ORD for the Sciences" Hackathon
Insights from the "ORD for the Sciences" Hackathon
Discover the highlights from the ORD for the Sciences Hackathon that took place Oct. 24-25, 2025 at EPFL.
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June 13, 2024
Event wrap-up | SDSC-CONNECT: AI for Precision Medicine
Event wrap-up | SDSC-CONNECT: AI for Precision Medicine
The Swiss Data Science Center held its flagship conference SDSC-Connect, focusing on AI for Precision Medicine, at EPFL’s RolexLearning Center, on 30 May 2024.
Our News
November 6, 2023
Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science
Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science
Food insecurity in sub-Saharan Africa is widespread, with crop yields much lower than in many developed regions. The project aims to use laser spectroscopy to measure fluxes and isotopic composition of N2O from maize and potato crops subjected to a range of fertilization levels.
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January 15, 2020
The Swiss Data Custodian | Part 1: a necessary concept in the field of data privacy
The Swiss Data Custodian | Part 1: a necessary concept in the field of data privacy
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.
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