Energy, Climate & Environment
SDSC excels in pioneering environmental, sustainable, and renewable energy data science. Our distinguished team drives innovation through cutting-edge projects: climate pattern analysis, energy models, deep learning for biodiversity detection, and improved avalanche forecasting.
Projects
DIMPEO
In Progress
Detecting drought impacts on forests in earth observation data
Energy, Climate & Environment
FastPlasmaSim
In Progress
Acceleration of Free-boundary Grad-Shafranov codes using advanced numerical methods
Energy, Climate & Environment
SPEED2ZERO
In Progress
Sustainable pathways towards net zero Switzerland
Energy, Climate & Environment
EAGLE
In Progress
Enhanced understanding of Alpine mass movements Gathered through machine LEarning
Energy, Climate & Environment
ADOPT
In Progress
AI for Detecting Ocean Plastic Pollution with Tracking
Energy, Climate & Environment
MLfusion
In Progress
Machine Learning for Disruption Prediction in Tokamaks
Energy, Climate & Environment
WATRES
In Progress
A Data-Driven approach to estimate WATershed RESponses
Energy, Climate & Environment
DAAAD_Bridges
Completed
Domain-aware-AI Augmented Design of Bridge Structures
Energy, Climate & Environment
DeepDown
In Progress
Multivariate climate downscaling using deep learning models
Energy, Climate & Environment
EXPECTmine
In Progress
Mining Toxicity and High Resolution Mass Spectrometry Data for Linking Exposures to Effects
Energy, Climate & Environment
CLIMIS4AVAL
In Progress
Real-time cleansing of snow and weather data for operational avalanche forecasting
Energy, Climate & Environment
SEMIRAMIS
Completed
AI-augmented Architectural Design
Energy, Climate & Environment
deepLNAfrica
In Progress
Mapping changes in urban informal settlements in sub-Saharan Africa using deep learning and open-access satellite imagery
Energy, Climate & Environment
AURORA
In Progress
From air pollution sources to mortality
Biomedical Data Science
Energy, Climate & Environment
DeepCloud
In Progress
A data-driven sub-grid parametrization for complex terrain
Energy, Climate & Environment
MLTox
In Progress
Enhancing toxicological testing through machine learning
Energy, Climate & Environment
SMARTAIR
Completed
Self-guided Machine Learning Algorithms for Real-Time Assimilation, Interpolation and Rendering of Flow Data
Energy, Climate & Environment
ArcticNAP
Completed
Arctic climate change: Exploring the Natural Aerosol baseline for improved model Predictions
Energy, Climate & Environment
N2O-SSA
In Progress
Combining measurements, modeling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Energy, Climate & Environment
MACH-Flow
Completed
Machine learning for Swiss river flow estimation
Energy, Climate & Environment
4Real
Real-time urban pluvial flood forecasting
Energy, Climate & Environment
BioDetect
Completed
Deep Learning for Biodiversity Detection and Classification
Energy, Climate & Environment
EXPECT
EXtending the PrEdiCTability of the Atmosphere over Europe
Energy, Climate & Environment
TAPEDA
Completed
Towards Automated Post-Earthquake Damage Assessment
Energy, Climate & Environment
DEAPSnow
Completed
Improving snow avalanche forecasting by data-driven automated predictions
Energy, Climate & Environment
MSEI
Completed
Molecular structure elucidation by integrating different data mining strategies
Energy, Climate & Environment
DATALAKES
Completed
Heterogeneous data platform for operational modelling and forecasting of Swiss lakes
Energy, Climate & Environment
CarboSense4D
Completed
Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning
Energy, Climate & Environment
COMMIT
Completed
Context-Aware Mobility Mining Tools
Big Science Data
Digital Administration
Energy, Climate & Environment
AADS
Completed
Data Science Enabled Acoustic Design
Energy, Climate & Environment
DASH
Completed
DAta Science-informed attribution of changes in the Hydrological cycle
Energy, Climate & Environment
ACE-DATA
Completed
Delivering Added-value To Antarctica
Energy, Climate & Environment
SPEEDMIND
Completed
Improving species biodiversity analyses and citizen science feedback through machine learning
Energy, Climate & Environment
Other domains
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