AI for Good & Sustainability

Sustainability and AI for Good

For this research area, AI doesn't just mean artificial intelligence, but also actionable insights, driving initiatives that merge technological advancements with environmental conservation. Our goal is to bring closer future where technology and nature work in harmony, fostering a world that thrives on sustainability and inclusiveness.

Our experts are delving into uncharted territories with remote sensing and earth observation, using geospatial computer vision to analyze complex data streams and create a detailed, dynamic portrait of Earth's ever-changing processes. This knowledge base serves as a formidable tool, aiding in the meticulous task of weather and climate prediction. The use of machine learning to address geodetic and climate-related problems provides solutions that have the potential to redefine our approach to biodiversity conservation. We aim to be active contributors in shaping a future where technology acts as a guardian of our planet's rich and diverse life spectrum.

We connect diverse departments such as Civil, Environmental and Geomatic Engineering (D-​BAUG), Biology (D-BIOL), Humanities, Social and Political Sciences (D-GESS), Computer Science (D-​INFK), Mathematics (D-MATH), and Environmental Systems Science (D-USYS). Extending our collaborative efforts beyond ETH, we also engage in fruitful exchanges with Professors from UZH.

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Research topics include

  • AI for Sustainability
  • AI4Good
  • Remote Sensing and Earth Observation
  • Geospatial Computer Vision
  • Weather and Climate Prediction
  • High-Resolution Modeling of Weather and Climate
  • Computational Fluid Dynamics in Environmental Science
  • Numerical Modeling in Climate Dynamics
  • Machine Learning for Geodetic and Climate-Related Problems
  • AI for Biodiversity
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