Interdisciplinary research cooperation

Examples of current and recent cooperation:

Molecular Prediction of Prostate Cancer Risk and Aggressiveness

“Molecular Prediction of Prostate Cancer Risk and Aggressiveness” (MolPros) is an inter-disciplinary translational cancer research alliance bringing together experts from Denmark, Germany, China and USA. The research alliance has been established to develop new molecular tools to: identify men with high risk of prostate cancer, and to distinguish aggressive from non-aggressive prostate cancer.
Partners:
Department of Molecular Medicine
(Aarhus University) 
 MATH contacts:
Carsten Wiuf 
Martin Vincent

Dynamical Systems Interdisciplinary Network

The project involves 7 teams from 3 faculties at the University of Copenhagen. Through cross-disciplinary collaboration, our aim and vision are to develop mathematical models and statistical analysis tools and apply them to data from different branches of science. The project network encompasses visual cognition, neuronal signalling and networks, renal and cardiovascular physiology, metabolomics, molecular dynamics and econometrics. See dsin.ku.dk
Partners:
Bioinformatic Centre - Dept. of Biology,
Department of Publich Health (BioStat), 
Niels Bohr Institute,
Department of Economics,
Department of Psychology,
Dept. of Neuroscience and Pharmacology,
Department of Biomedical Sciences		 MATH contacts:
Susanne Ditlevsen,
Michael Sørensen,
Carsten Wiuf,
Niels Richard Hansen

Data Science Laboratory

The aim of the laboratory is to enhance the quality of scientific data analyses in research carried out at SCIENCE. This is facilitated through courses, workshops, collaboration with researchers, and counselling of students and researchers. The laboratory is hosted by MATH and the Department for Computer Science. Read more
Partners:
Departments at SCIENCE:

DIKU, BIO, IGN, NEXS, IND, PLEN, NBI, SNM
The Greenland Institute of Natural Resources
Hvidovre Hospital
Rigshospitalet
Dept. of Neuroscience and Pharmacology (SUND, KU)
Dept. of Immunology and Microbiology (SUND, KU)
Dept. of Large Animal Sciences (SUND, KU)

 MATH contact:

Helle Sørensen 
Susanne Ditlevsen
Nina Munkholt Jacobsen
Bo Markussen
Anders Tolver