UiT The Arctic University of Norway is a medium-sized research university that contributes to knowledge-based development at the regional, national and international level. UiT is the third largest in Norway and the northernmost university of the world.

Norsk Regnesentral (Norwegian Computing Center, NR) is a private, independent, non-profit foundation established in 1952. NR carries out contract research and development projects in the areas of information and communication technology and applied statistical modeling.

The Norwegian Centre for E-health Research was created 1st January 2016, with the objective of contributing to a common national ICT solution for health and care services. The new research and assessment centre will collect, produce and communicate knowledge required by the authorities to develop a knowledge-based policy on e-health.

The Center for Computational Health at IBM T.J. Watson Research Center consists of a multi-disciplinary team of researchers with expertise in machine learning, data mining, visual analytics, biomedical & medical informatics, statistics, behavioral and decision sciences, and medicine. We work on developing cutting-edge methodologies to derive insights from diverse sources of health data, to support use cases in personalized care delivery and management, real world evidence, health behavior modeling, cognitive health decision support, and translational informatics.

The Technical University of Berlin is one of the largest universities of technology in Germany. The machine learning group at TU Berlin conducts research on statistical learning theory for neural networks, support vector machines and ensemble learning techniques.

Universidad Rey Juan Carlos ranks among the best universities in Madrid for excellence academic programs and international scientific quality. Our collaborators at the department of Signal Theory and Communications cooperate with four large Hospitals, namely, Hospital de Alcorcón, Hospital de Fuenlabrada, Hospital de Móstoles and Hospital del Sureste. In particular C. Soguero-Ruiz is active in research on machine learning for healthcare. She is an associate member in the UiT Machine Learning Group and a close long-term collaborator.

Exeter is the UK’s fastest growing and fastest rising research university. Our collaborator L. Livi is active in research on e.g. unsupervised learning in deep and recurrent neural networks, information-theoretic learning, and supervised and unsupervised feature selection/extraction methods.