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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.

Click on the headlines below (or navigate the menu to the left) to learn more.

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Advanced Adaptive Intelligent Systems (AAIS)

Advanced Adaptive Intelligent Systems (AAIS)

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 (DEMOCRITUS)

Decision-making in Critical Societal Infrastructures (DEMOCRITUS)

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 (dBRAIN)

Digitizing Brain Data for Health and Disease (dBRAIN)

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 (EXTREMUM)

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

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

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Humanizing the Sustainable Smart City (HiSS)

Humanizing the Sustainable Smart City (HiSS)

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 (DataLEASH)

Learning and Sharing under Privacy constraints (DataLEASH)

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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