50 proposals were carefully selected through the review processes of the SDSC's first National Calls. Partners will receive in-kind data science and AI expertise from the SDSC. The new collaborations will begin in 2025 and last for up to two years.
Explore all selected projects:
* The asterisk indicates the main project investigator (PI) for the respective project.
Collaborative Research Data Science Projects
25 proposals will receive in-kind data science expertise in statistical data science, machine learning, AI, computer vision, and nature language processing (NLP) to develop models, algorithms and analyses tailored to the specific research domain:
Environment, Climate and Energy
PABPA: Prediction of Algal Blooms and Plankton Abundances, Dr. Marco Baity-Jesi*, Dr. Francesco Pomati, Swiss Federal Institute for Aquatic Science and Technology (Eawag).
DDEQ4Clusters: Data-driven Emission Quantification for Source Clusters from Space, PD Dr. Gerrit Kuhlmann*, Prof. Dr. Dominik Brunner, Dr. Erik Koene, Mr. Sandro Meier, Swiss Federal Laboratories for Material Science and Technology (Empa).
ECOCLIM: Integrating Ecological Information into Climate Downscaling, Dr. Dirk Karger*, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). Prof. Dr. Edouard Davin, University of Bern (UniBe), Prof. Dr. Jan Dirk Wegner, University of Zurich (UZH).
SCOPE: SourCes and Drivers of Organic Aerosol Pollution in Europe and response to global warming and Net-zero policies, Dr. Imad El Haddad*, Dr. Kaspar Daellenbach, Prof. Dr. Andre Prevot, PSI, Dr. Kees de Hoogh, Dr. Danielle Vienneau, Swiss Tropical and Public Health Institute (TPH).
GEAK-Boost: Implementation of Data Science Tools to Streamline and Accelerate the GEAK Certification Process for the Swiss Building Stock, Dr. Parantapa Sawant*, Mr. Christian Amoser, University of Applied Sciences Northwestern Switzerland (FHNW), Mr. Samuel Lagresle, Gebäudeenergieausweis der Kantone (GEAK).
APPLS: Toward Global Analysis of Atmospheric Particle PoLlution Sources, Prof. Dr. Satoshi Takahama*, Dr. Athanasios Nenes, EPFL, Dr. Ann Dillner, Air Quality Research Center, University of California, USA, Dr. Imad El-Haddad, PSI, Dr. Lynn Russell, Scripps Institution of Oceanography, University of San Diego, USA.
BioAIRad: Biodiversity Monitoring of the Airspace with Radars, Dr. Silke Bauer*, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Dr. Birgen Haest, Swiss Ornithological Institute, Dr. Eva Knop, Agroscope.
SmartHabitat: Machine-supported Monitoring of Plant Communities and Habitats, Dr. Philipp Brun*, Dr. Steffen Boch, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Dr. Christophe Bornand, InfoFlora, Dr. Lukas Drees, EcoVision Lab - University of Zurich (UZH).
MoBiKo: Mountain Biodiversity Knowledge Graph, Prof. Markus Fischer*, Dr. Mark Snethlage, University of Bern (UniBe), Prof. Antoine Guisan, University of Lausanne (UNIL), Dr. Donat Agosti, Plazi GmbH, Prof. Patrick Ruch, University of Applied Sciences Western Switzerland (HES-SO).
Health and Biomedical Sciences
AICADES: AI-supported Approaches to Accelerate Cancer-relevant Data Extraction for Surveillance Reporting and Research at Population-level, M.D. Dr. Gautier Defossez*, Dr. Jean-Luc Bulliard, Mr. Vincent Faivre, Mr. Julien Thabard, Vaud Cancer Registry (RVT) - PMU Unisanté.
CEPEF - HARAT: Development of a Horse Anaesthesia Risk Assessment Tool based on CEPEF4 data, med.vet.Sarah Meyer*, University of Zurich (UZH), Prof. Dr. med. vet. Regula Bettschart-Wolfensberger, Veterinary Anaesthesiology Tierspital Zurich and University of Zurich (UZH), Prof. José Redondo Garcia, Universidad CEU Cardinal Herrera, Valencia, Spain, Dr. med. Gonzalo Marcilla, Royal (Dick) School of Veterinary Studies Edinburgh, UK, MA VetMB PhD Polly Talor, UK, MA VetMB Dr. Mark Johnston, Vetstream Ltd.
I-DEEP-TRUST: Develop Interpretable and Trustworthy Deep Learning models for Treatment Decisions in Acute Ischemic Stroke Patients, Prof. Dr. med. Susanne Wegener*, University Hospital Zurich (USZ), Dr. Lisa Herzog, Prof. Björn Menze, Dr. Ezequiel de la Rosa, University of Zurich (UZH), Prof. Beate Sick, Zurich University of Applied Sciences and Arts (ZHAW).
IRIS: Predicting Circulating Tumor Cell Proliferation Capacity and Metastatic Potential using Paired, Multimodal, Image-transcriptome Data, Prof. Bart Deplancke*, Prof. Maria Brbic, Mr. Jose Vasquez Porto Viso, EPFL, Prof. Nicola Aceto, ETH Zurich.
ALBUM: Automated Large-scale Brain Ultrastructure Mapping, Dr. Adrian Andreas Wanner*, PSI.
HACOP: Predicting Hospital-Acquired Complications in Older Patients, Prof. Jean Louis Raisaro*, Mr. Jérémie Despraz, Ms. Sophie Pouzols, Centre Hospitalier Universitaire Vaudois (CHUV), Prof. Cédric Mabire, University of Lausanne (UNIL) and Centre Hospitalier Universitaire Vaudois (CHUV).
CoMeT Swiss: Coding of Medical Texts for all Swiss Languages, Dr. Yves Staudt*, Prof. Dr., Heiko Rölke, University of Applied Sciences Grisons, Prof, Dr. med. Roger von Moos, Dr. med. Lucas Basler, Kantonsspital Graubünden (KSGR).
Omics-AD: An Integrative Multi-omics, Biomarker Discovery, and Data Science Approach to Investigate Cerebral and Systemic Biological Pathway Alterations with Clinical Relevance in Early Alzheimer’s Disease, Prof. Dr. med. Julius Popp*, Dr. Pyry Helkkula, Dr. med. Miriam Rabl, University of Zurich (UZH).
PIONEER: Positronium Imaging for ONcology and EnhancEd Radiotherapy, Prof. Paolo Crivelli *, Prof. Carlos Vigo, Dr. Lars Gerchow, ETH Zurich, Prof. Roger Schibli, PSI, Prof. Dr. med. Irene Burger, Kantonsspital Baden (KSB), PD Dr. sc. nat.. Valerie Treyer, PD. Dr. med. vet. Mirja Nolff, University Hospital Zurich (USZ).
Data Science for Large-Scale Scientific Infrastructures
NC/RC: Neural Compression for Radio Cosmology, Prof. Emma Tolley*, Mr. Adrien Devresse, EPFL.
smarTT: Smart Sampling for Small-angle X-ray Scattering Tensor Tomography, Prof. Marianne Liebi*, EPFL and PSI, Dr. Filip Leonarski, PSI.
TGSF-DA: Data Analysis of the Turbulence and Gravity Roles in Stellar Formation, Dr. Ruben Cabezon*, Prof. Florina Ciorba, Dr. Osman Seckin Simcek, University of Basel (UniBas), Prof. Lucio Mayer, University of Zurich (UZH), Dr. Sebastian Keller, Dr. Jean Favre, Swiss National Supercomputing Center (CSCS), Prof. Ralf Klessen, University of Heidelberg, Germany.
MDS-Rec: Anomalous Particle Showers in Muon Detector: Exploiting the Full Length of the LHCb Detector in the Search for New Physics, Prof. Lesya Shchutska*, EPFL, Dr. Louis Henry, CERN.
General
MorphoTRACK-SDGs: Morphology-based Multimodal Learning for Global Mapping of Infrastructure Deprivation and Monitoring the Sustainable Development Goals, Dr. Kenneth Harttgen*, ETH Zurich, Dr. Esra Suel, University College London (UCL), UK.
SMART-MASON: Sustainable Masonry Automated by Reinforcement Learning Theories, Prof. Katrin Beyer*, Dr. Qianqing Wang, EPFL.
MappingDemocraSci: From Text to Transparency: Mapping Political Advocacy and Stances, Dr. Laurence Brandenberger*, Dr. Sophia Schlosser, University of Zurich (UZH), ETH Zurich.
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End-user Innovation Projects
10 projects will be provided with in-kind data science and engineering skills to maximize the impact of academic or research innovations in end-user contexts, benefiting public institutions, industrial, and economic stakeholders:
Energy, Climate and Sustainability
SCEDMLA: Streamlining Cantonal Energy Data with Machine Learning and Automation, Mr. Luca Hüsler*, Office for Data and Statistics Baselland BL.
DEDGEFLOW: Using Data Science and Edge Computing for Debris Flow Warning, Dr. Fabian Walter*, ETH Zurich.
NWF4CH: Democratizing Neural Weather Forecasting for Switzerland: An Open Platform Approach, Prof. Tom Beucler* and Dr. Erwan Koch, University of Lausanne (UNIL), Dr. Daniele Nerini, MeteoSwiss.
CLEARIS: Cleantech Recommendation and Intelligence System, Dr. Susie Xi Rao* and Prof. Dr. Peter Egger, ETH Zurich, Dr. Janna Lipenkova, Anacode GmbH, Dr. Guang Lu, Hochschule Luzern (HSL).
POUNCE: Open-source Publication and Community Buildup of ehubX, Dr. Dennis Beermann*, Dr. Robin Mutschler, Swiss Federal Laboratories for Material Science and Technology (Empa). [E]
FLASH-FAULT: Fast Learning Algorithm for a Single Sensor Based Heating System Fault Detection, Dr. Parantapa Sawant*, INEB, University of Applied Sciences Northwestern Switzerland (FHNW). [E]
Digital Society
EDEN: Enhancing Digital Heritage using Generative AI, Ms. Delphine Ribes Lemay*, EPFL+ECAL Lab, Ms. Angélique Boschung, Bibliothèque cantonale et universitaire de Fribourg (BCU), Dr. Cyril Bornet, Volumen Sàrl.
HIVE: How Digitalization and the WHO Hive Platform is Preparing for Health Emergencies, Mr. Brian Yau*, World Health Organization (WHO). [E]
SWISSPARL: Digitalization of Parliamentary Services, Mr. Alexandre Gonzalez*, Swiss Parliament. [E]
Health and Biomedical Sciences
CHORUS+: Enhancing Secure Biomedical Data Access: CHORUS+, Prof. Jean Louis Raisaro*, Centre Hospitalier Universitaire Vaudois (CHUV). [E]
[E] End-user projects marked with E are considered “Expertise mandates” and refer to collaborations where SDSC provides expertise on specific topics instead of hands-on project participation.
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Collaborative ORD Infrastructure Projects
7 projects will benefit from in-kind support in sensitive data management, ensuring findable, accessible, interoperable, and reusable (FAIR) data governance, software engineering, knowledge modeling, semantic technologies, and interoperability through standardized tools, aligned with the Swiss National ORD Strategy:
Health and Biomedical Sciences
MiCo-BID: Multi-institution Computable Biomedical Imaging Data Platform, Dr. Jonas Richiardi*, University of Lausanne (UNIL) and Centre Hospitalier Universitaire Vaudois(CHUV), Dr. Solange Zoergiebel, Centre Hospitalier Universitaire Vaudois (CHUV), Dr. Sébastien Courvoisier, University of Geneva (UniGe), Marc Daverat, Geneva University Hospital (HUG), Prof. Dimitri Van De Ville, EPFL and University of Geneva (UniGe), Dr. Axel Couturier, EPFL.
ACROSS: Actionable, Collaborative, Reusable, interOperable Sepsis System, Dr. phil. Dr. med. Sylvain Meylan*, Dr. Jérémie Despraz, Centre Hospitalier Universitaire Vaudois (CHUV), Dr. med. Olga Endrich, Dr. med. Christine Thurnheer, University Hospital of Bern (Inselspital), Prof. Dr. med. Luregn Schlapbach, Dr. med. Nora Luethi, Kinderspital Zurich (KiSpi).
ML-CLIN-DEID: Multi-Language Clinical Text De-identification Tool for Swiss Hospitals, Prof. Jean Louis Raisaro*, Centre Hospitalier Universitaire Vaudois (CHUV), Dr. Fabio Rinaldi, Dalle Molle Institute of Artificial Intelligence (IDSIA, USI-SUPSI), Prof. Michael Krauthammer, University of Zurich (UZH), Prof. Gunnar Rätsch, ETH Zurich.
Environment, Climate and Energy
AREMA: Atlas of Regenerative Materials, Prof. Guillaume Habert*, ETH Zurich.
WeDoWind: System Design for an Inclusive Human-centred Open Innovation Ecosystem, Dr. Sarah Barber*, Eastern Switzerland University of Applied Sciences (OST), Prof. Eleni Chatzi, ETH Zurich, Prof. Jean-Paul Calbimonte, University of Applied Sciences and Arts Western Switzerland (HES-SO).
General
PlazaConsolidated: Consolidating the Imaging Plaza: A Curated Online Catalog of FAIR Imaging Software, Dr. Laurène Donati*, Dr. Edward Andò, EPFL.
MAVA Cluster: Multimodal Audio-Visual Analysis Cluster for Infrastructure Interoperability and Data Exchange, Dr. Teodora Vukovic*, Prof. Josephine Diecke, Dr. Cristina Grisot, University of Zurich (UZH), Prof. Ralph Ewerth, Leibniz Information Center for Science and Technology (TIB).
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Collaborative Renku projects
8 projects will be leveraging and extending the SDSC Renku platform to enhance the ORD practices of research groups and communities in different domains:
NMDI: NCCR Microbiomes Dataset Index, Dr. Kendra Brown*, University of Lausanne (UNIL).
NMFS: NCCR Microbiomes Flagship Project support, Dr. Kendra Brown*, University of Lausanne (UNIL).
RECHA: Renku-Enabled Collaborative HPC Access, Olivier Bornet*, Dr. André Anjos, Idiap Research Institute, Dr. Champak Beeravolu Reddy, University of Fribourg.
RCT: Renku as a Curation Toolbox, Dr. Guillaume Anciaux*, Dr. Son Pham-Ba, EPFL.
GRADAR: Gamma-ray and Radio Astronomical Data Analysis with Renkulab, Prof. Jean-Paul Kneib*, Dr. Andrii Neronov, Dr. Volodymyr Savchenko, EPFL, Prof. Andre Csillaghy, University of Applied Sciences Northwestern Switzerland (FHNW).
Renku4MCH: Towards Adopting Renku at MeteoSwiss for Collaborative Meteorological Data Science, Dr. Daniele Nerini*, Dr. Gabriela Aznar, Dr. Carlos Osuna, Dr. Felix Maurer, MeteoSwiss.
OpenCatData: Platform for Standardized Catalysis Data Management, Dr. Paco Laveille*, Dr. Erwin Lam, SwissCAT+ East and ETH Zurich, Dr. Caterina Barillari, OpenBIS and ETH Zurich.
RAPHTC: A Modular Reproducible Analysis Platform for Sciences Utilizing High-throughput Computing, Dr. Clemens Lange*, Dr. Derek Feichtinger, PSI.
