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Shaping a sustainable society through digital transformation

Digital Futures is a cross-disciplinary research centre that explores and develops digital technologies of great societal importance. It was jointly established in 2020 by KTH Royal Institute of Technology, Stockholm University and RISE Research Institutes of Sweden, based on significant long-term support of a Strategic Research Area by the Swedish Government.

The vision of Digital Futures is to shape an economically, environmental and socially sustainable society through digital transformation.

News

Viktoria Fodor shares research insight on DEMOCRITUS project and why diversity can lead to significant impact
Viktoria Fodor shares research insight on DEMOCRITUS project and why diversity can lead to significant impact

We talked to Viktoria Fodor, Professor at the Division of Network and Systems Engineering, KTH Royal Institute […]
Digital Futures Research Programme Is Taking Shape
Digital Futures Research Programme Is Taking Shape

Since its inauguration last year, Digital Futures has had several calls for proposals and more than twenty […]
Digital Futures Summer Research Internships Programme
Digital Futures Summer Research Internships Programme

As part of the Digital Futures initiative’s goal of offering training in the new Science of Digital […]

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Events & seminars

Apr 15
Training Beam Sequence Design for Millimeter Wave Tracking Systems
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Deyou Zhang, a Postdoctoral researcher at Digital Futures, talks about novel beam tracking techniques for time-varying mmWave multiple-input single-output (MISO) system.
Apr 20
Fostering Students’ Self-Regulated Learning to Support Study Success: A Learning Analytics Approach

Olga Viberg, Associate Professor in Media Technology, KTH will focus on the evidence and further potential of learning analytics combined with the use of artificial intelligence and mobile technologies.
Apr 22
Physics-informed learning: using neural network to solve differential equations
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Matthieu Barreau, a Research Fellow within the division of Decision and Control Systems at KTH, presents physics-informed learning from the basics to the open challenges and its application to traffic flow estimation.

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