SciLifeLab & Wallenberg National Program for Data-Driven Life Science
The practice of life science is continuously becoming more data-dependent. The amount and complexity of data is growing exponentially, and more scientific discoveries are enabled when data is openly available to researchers across the world. This is the basis for the SciLifeLab and Wallenberg National Program on Data-Driven Life Science (DDLS), which now sets out on its mission to recruit and train the next generation of life scientists as well as to create strong and globally competitive computational and data science capabilities in Swedish life science. The program is funded by Knut and Alice Wallenberg foundation with a total of 3.1 billion SEK (about 300Meuro, 350MUSD) over 12 years and SciLifeLab, as a national infrastructure for life science, coordinates this program in close collaboration with ten universities (Chalmers, GU, KI, KTH, LiU, LU, SLU, SU, UmU and UU) and the Swedish Museum of Natural History).
New DDLS Research School Director: Marija Cvijovic
First call joint call for seed-money between WASP-HS and DDLS
KAW supports a Program for Academic Leaders in Life Science (PALS)
20 open permanent staff positions for the new Data platform and Data Science Nodes (DSNs)
Successful DDLS Industry dialogue initiated
Data-driven life science is a field of research that focuses on using data, computational methods and artificial intelligence to study biological systems and processes. Read more about the four strategic DDLS research areas, joint research projects, and our Fellows.
The DDLS Fellows program is a career program aiming at accelerating the data-driven paradigm shift in life sciences. The DDLS Fellows will form the base of the next-generation of data-driven life scientists in Sweden, and create globally leading computational and data science capabilities.
DDLS Education & training
DDLS Research school
The DDLS research school is a national initiative that will train scientists with high competence within the DDLS research areas. The aim is to meet the future needs within data-driven life sciences in R&D, industry, health care and society at large.
Training within the DDLS program aims to upskill the broad life science community in data-driven life science by offering lifelong learning in an openly accessible way.