menu

Awarded Projects

Programme
All awards
Collaborative Research Programme
Research Infrastructure Programme
Other data science awards
Emerging Investigator
Ascending Investigator
Distinguished Investigator
Year
All years
2018
2019
2020
2021
2022
2022
Pioneer Centre for AI
Serge Belongie, University of Copenhagen
Read more about the project
ALFADIAB – Algorithmic Fairness in Diabetes Prediction
Tibor V. Varga, University of Copenhagen
Read more about the project
Integration of longitudinal multimodal data in clinical risk prediction using deep learning
Adam Hulman, Steno Diabetes Center Aarhus
Read more about the project
Optimizing medical decision making: advancing and refining estimation and evaluation of personalized treatment rules
Erin Gabriel, University of Copenhagen
Read more about the project
Bayesian neural networks for molecular discovery
Mikkel Schmidt, Technical University of Denmark
Read more about the project
A simulation and inference toolbox for spatio-temporal genome evolution
Fernando Racimo, University of Copenhagen
Read more about the project
GolgiNet: Data science to take glycomics in silico and beyond
Hiren Joshi, University of Copenhagen
Read more about the project
DEVELOP: Using data science to estimate overdiagnosis and mortality reduction in cancer screening programs
Sisse Njor, Randers Regional Hospital
Read more about the project
Cognitive spaces – Next generation explainability
Lars Kai Hansen, Technical University of Denmark
Read more about the project
AgroEco-HPM: A high-performance data-driven agroecosystem modelling platform for developing agricultural systems with minimum environmental impact
Sune Darkner – Associate Professor, Department of Computer Science, Københavns Universitet
Read more about the project
Biomedical Data Infrastructure (BDI) for health research: National Neurophysiologic Database (NND)
Poul Jørgen Jennum – Professor, Department of Clinical Neurophysiology, Rigshospitalet
Read more about the project
A high-performance computing infrastructure for data-driven research on sustainable energy materials
Kristian Sommer Thygesen – Professor, Department of Physics, Danmarks Tekniske Universitet
Read more about the project
Data Science Research Infrastructure In Radiotherapy
Cai Grau – Professor, Department of Clinical Medicine, Aarhus Universitet
Read more about the project
MOPITAS – Multi-omics profiling in time and space
Richard Röttger – Associate Professor, Department of Mathematics and Computer Science, Syddansk Universitet
Read more about the project
Reading the Reader
Per Bækgaard – Associate Professor, Department of Applied Mathematics and Computer Science (DTU-Compute), DTU
Read more about the project
CAZAI: CAZyme Specificity Prediction Using AI
Bernard Henrissat – Professor, Department of Biotechnology and Biomedicine, DTU
Read more about the project
2021
The Danish Data Science Academy
Lars Kai Hansen, Technical University of Denmark
Read more about the project
Providentia: Privacy-driven Trust in Algorithms
Rasmus Pagh, University of Copenhagen
Read more about the project
Novel methods to model mutational processes in germline and cancer
Søren Besenbacher, Aarhus University
Read more about the project
First principal models, neural networks and functional graphical models for Defining metabolic capacity as a Tool for Personalized nutrition (FOODTOP)
Morten Arendt Rasmussen, University of Copenhagen
Read more about the project
Enhancing statistical methodology for toxicophenomics: High-throughput and high-dimensional data for ecotoxicological risk assessment
Signe M. Jensen, University of Copenhagen
Read more about the project
Islet Cartography – Multi-layered mapping of islets of Langerhans in health and disease
Jesper Madsen, University of Southern Denmark
Read more about the project
Efficient, high-resolution approaches for integrative sequencing analysis of complex diseases
Shilpa Garg, University of Copenhagen
Read more about the project
CausalBiome: Developing a unified statistical framework for analyzing microbiome data
Niklas Pfister, University of Copenhagen
Read more about the project
QUAITOM – The Infrastructure for QUantitative AI-based TOMography
Anders Dahl, Technical University of Denmark
Read more about the project
Risk-assessment of Vector-borne Diseases Based on Deep Learning and Remote Sensing
Jakob Brandtberg Knudsen, The Royal Danish Academy of Fine Arts
Read more about the project
DIRECTION – Data science driven leaf architecture optimization
Staffan Persson, University of Copenhagen
Read more about the project
CRISPRnet: Deep learning and data-driven CRISPR design for network-based multiplexed targeting
Jan Gorodkin, University of Copenhagen
Read more about the project
A framework for an open and scalable infrastructure for health data exemplified by the DD2 initiative
Annelli Sandbæk, Aarhus University Hospital
Read more about the project
Mutational processes in spermatogenesis and their consequences for human health
Mikkel Heide Schierup
Read more about the project
Personalized medicine infrastructure using the open-source OMOP common data model including an Electronic Health Record interface
Ismail Gögenur, Zealand University Hospital
Read more about the project
Novo Nordisk Foundation Center For Genomic Mechanisms of Disease at Broad Institute
Kasper Lage, Broad Institute
Read more about the project
2020
Machine learning methods for data-driven discovery of antibiotic resistance plasmid dissemination and evolution
Søren Sørensen, University of Copenhagen
Read more about the project
Center for Basic Machine Learning Research in Life Science
Ole Winther, University of Copenhagen
Read more about the project
National Health Data Science Sandbox for Training and Research
Anders Krogh, University of Copenhagen
Read more about the project
The OpenNeuroPET Archive – A Molecular Neuroimaging Archive
Gitte Moos Knudsen, Rigshospitalet
Read more about the project
Data science approaches to study epidemiological and genetic underpinnings of hypothyroidism to pave the way for precision medicine
Tugce Karaderi, University of Copenhagen
Read more about the project
Differentiable Physical Models for Data Analysis in Biology
Julius Kirkegaard, University of Copenhagen
Read more about the project
Leveraging artificial intelligence for pancreatic cancer diagnosis, treatment planning and treatment outcome prediction
Bulat Ibragimov, University of Copenhagen
Read more about the project
Ancient Genomes Reconstruction
Gabriel Renaud, Technical University of Denmark
Read more about the project
Identifying Heterogeneous Treatment Effects with Machine Learning
Anders Hviid, Statens Serum Institute
Read more about the project
Scalable Optimization for Data Science
Martin Andersen, Technical University of Denmark
Read more about the project
CLUE: Causal Learning with Unstructured Events
Niels Richard Hansen, University of Copenhagen
Read more about the project
Statistical inference for coupled stochastic processes with multiple timescales and changing environments
Susanne Ditlevsen, University of Copenhagen
Read more about the project
The Danish Multigeneration Register
Anne-Sofie Jensen, Danish National Archives
Read more about the project
2019
Synthetic Health and Research Data (SHARED)
Henning Langberg, University of Copenhagen
Read more about the project
2018
Big Data Centre for Environment and Health
Clive Sabel, Aarhus University
Read more about the project
Big life-course data analytics for understanding disease initiation and progression in diabetes and its complications
Søren Brunak, University of Copenhagen
Read more about the project
Harnessing the Power of Big Data to Address the Societal Challenge of Aging
Rudi Westendorp, University of Copenhagen
Read more about the project