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Collaborative projects

The 4-year Collaborative projects target cutting-edge research in the area of Digital Transformation within the frame of the Digital Futures Research matrix and are based on an interdisciplinary approach. The main key performance indicator of this instrument is scientific excellence.

The consortium comprises three to five key performance indicators from different KTH Schools, Stockholm University and/or RISE, with a complementary competence.  The active involvement of industrial and societal partners is important but not a necessary requirement.

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Advanced Adaptive Intelligent Systems

Advanced Adaptive Intelligent Systems

Developing social robots that can understand human communication and behavior and adapt their actions according to the situation...

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Data-Limited Learning of Complex Dynamical Systems

Data-Limited Learning of Complex Dynamical Systems

Teaching and controlling complex dynamic systems by using a restricted selection of data...

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Decision-making in Critical Societal Infrastructures

Decision-making in Critical Societal Infrastructures

Data driven methods for surveilling water quality, identify leaks and pollution as well as control the flow of water...

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Digitizing Brain Data for Health and Disease

Digitizing Brain Data for Health and Disease

Patient data as a base for reliable diagnoses, prognoses and more effective treatment of brain diseases...

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EO-AI4GlobalChange

EO-AI4GlobalChange

Monitoring global environmental changes using Earth Observation big data and deep learning...

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Explainable and Ethical Machine Learning for Knowledge Discovery from Medical Data Sources

Explainable and Ethical Machine Learning for Knowledge Discovery from Medical Data Sources

Adverse drug event (ADE) detection and heart failure treatment...

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Humanizing the Sustainable Smart City

Humanizing the Sustainable Smart City

Wellbeing in smart cities is the defined research area, focusing on interactions of human-machine-computers…

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Learning and Sharing under Privacy constraints

Learning and Sharing under Privacy constraints

Developing and testing methods for more open data. In practice, it will consist of risk analysis for privacy protection...

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Robotic Matter

Robotic Matter

Objects of programmable, robotic matter, consisting of thousands or millions micro-scale components...

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