Climate & Environment
SDSC is dedicated to advancing climate and environmental data science. Our team contributes to innovation through projects focused on climate pattern analysis, deep learning for biodiversity detection, enhanced avalanche forecasting and much more.
Projects
Dedgeflow
Completed
Using Data Science and Edge Computing for Debris Flow Warning
Academia
Canton de Vaud: ENERBAT
Completed
Data-Driven Pathways to Net Zero for the Canton of Vaud’s Building Portfolio
Public sector
BioAIRad
In Progress
Biodiversity monitoring of the AIrspace with Radars
Academia
CleaRIS
Completed
Cleantech Recommendation and Intelligence System
Academia
Private sector
SPI-GreenFjord
In Progress
Academia
SPI-PAMIR
In Progress
Academia
Fore[st]cast
In Progress
Nowcast and predict forest condition
Academia
COPE
In Progress
COnstraints on near-term warming ProjEctions via distributionally robust statistical and machine learning
Academia
BioDetect
Completed
Deep Learning for Biodiversity Detection and Classification
Academia
HighFEM
In Progress
High Frequency Earthquake Modelling
Academia
Inter-Detect
In Progress
Quantifying Plant-Pollinator Interactions Using Computer Vision
Academia
CHEMSPEC
Completed
Cost-effective chemical speciation monitoring of particulate matter air pollution
Academia
DNAi
Completed
High throughput eDNA processing using artificial intelligence for ecosystem monitoring
Academia
PHENO-MINE
Completed
Pheno-Mine: Extracting dynamic ideotypes from seasonal image time series of wheat taken in the field
Academia
DATSSFLOW
Completed
Data Science and Mass Movement Seismology: Towards the Next Generation of Debris Flow Warning
Academia
DIMPEO
Completed
Detecting drought impacts on forests in earth observation data
Academia
SPEED2ZERO
In Progress
Sustainable pathways towards net zero Switzerland
Academia
EAGLE
In Progress
Enhanced understanding of Alpine mass movements Gathered through machine LEarning
Academia
ADOPT
In Progress
AI for Detecting Ocean Plastic Pollution with Tracking
Academia
WATRES
Completed
A Data-Driven approach to estimate WATershed RESponses
Academia
DeepDown
Completed
Multivariate climate downscaling using deep learning models
Academia
EXPECTmine
Completed
Mining Toxicity and High Resolution Mass Spectrometry Data for Linking Exposures to Effects
Academia
CLIMIS4AVAL
Completed
Real-time cleansing of snow and weather data for operational avalanche forecasting
Academia
AURORA
Completed
From air pollution sources to mortality
Academia
DeepCloud
Completed
A data-driven sub-grid parametrization for complex terrain
Academia
MLTox
Completed
Enhancing toxicological testing through machine learning
Academia
ArcticNAP
Completed
Arctic climate change: Exploring the Natural Aerosol baseline for improved model Predictions
Academia
N2O-SSA
In Progress
Combining measurements, modeling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Academia
MACH-Flow
Completed
Machine learning for Swiss river flow estimation
Academia
4Real
Real-time urban pluvial flood forecasting
Academia
EXPECT
Completed
EXtending the PrEdiCTability of the Atmosphere over Europe
Academia
TAPEDA
Completed
Towards Automated Post-Earthquake Damage Assessment
Academia
DEAPSnow
Completed
Improving snow avalanche forecasting by data-driven automated predictions
Academia
DATALAKES
Completed
Heterogeneous data platform for operational modelling and forecasting of Swiss lakes
Academia
CarboSense4D
Completed
Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning
Academia
DASH
Completed
DAta Science-informed attribution of changes in the Hydrological cycle
Academia
ACE-DATA
Completed
Delivering Added-value To Antarctica
Academia
SPEEDMIND
Completed
Improving species biodiversity analyses and citizen science feedback through machine learning
Academia
Case studies
Other domains
Data Science per domain
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