innovation
Director of innovation to the board
We welcome a new member to our board, Andreas Muranyi Scheutz! He is Director of research and innovation in Region Stockholm and has previously had the same position at the Swedish embassy in New Delh
The Impact of Ageing on Innovation and Productivity Growth in Europe
Vienna Institute of Demography and Institute for Futures Studies, Research Report No. 28 Various studies on policy implications of demographic changes in national and community policies: Lot6: Impact o
Julie Jebeile: Technological innovation facing climate change
Venue: Institute for Futures Studies, Holländargatan 13 in Stockholm, or online Research seminar with Julie Jebeile, SNF professor at the Institute of Philosophy of Universität Bern. She is a philosophe
Democratic revolutions as institutional innovation diffusion: Rapid adoption and survival of democracy
Technological Forecasting and Social Change, Volume 80, Issue 8, October 2013, Pp. 1546–1556 http://dx.doi.org/10.1016/j.techfore.2013.02.002 Abstract Recent ‘democratic revolutions’ in Islamic countries
CANCELED. Escaping Network Gravity: Lessons from Dynamic Network Research for Change and Innovation
Balazs Vedres, Central European University

Data-driven innovation i welfare services and public priority setting with Karim Jebari
Presentation from the workshop "AI and autonomous decision making" at the Institute for Futures Studies in Stockholm, October 2017.

Completed: Algorithms in public decision-making. Social construction in change
How can we ensure the transparency required in a democracy and still make us of new AI technology in the public sector?
Deep learning diffusion by infusion into preexisting technologies - Implications for users and society at large
in: Technology in Society. 63, 101396 Abstract:Artificial Intelligence (AI) in the form of Deep Learning (DL) technology has diffused in the consumer domain in a unique way as compared to previous gene, i.e., by being added to preexisting technologies that are already in use. We find that DL-algorithms for recommendations or ranking have been infused into all the 15 most popular mobile applications (apps) in the U.S. (as of May 2019). DL-infusion enables fast and vast diffusion. For example, when a DL-system was infused into YouTube, it almost immediately reached a third of the world's population. We argue that existing theories of innovation diffusion and adoption have limited relevance for DL-infusion, because it is a process that is driven by enterprises rather than individuals. We also discuss its social and ethical implications. First, consumers have a limited ability to detect and evaluate an infused technology. DL-infusion may thus help to explain why AI's presence in society has not been challenged by many. Second, the DL-providers are likely to face conflicts of interest, since consumer and supplier goals are not always aligned. Third, infusion is likely to be a particularly important diffusion process for DL-technologies as compared to other innovations, because they need large data sets to function well, which can be drawn from preexisting users. Related, it seems that larger technology companies comparatively benefit more from DL-infusion, because they already have many users. This suggests that the value drawn from DL is likely to follow a Matthew Effect of accumulated advantage online: many preexisting users provide a lot of behavioral data, which bring about better DL-driven features, which attract even more users, etc. Such a self-reinforcing process could limit the possibilities for new companies to compete. This way, the notion of DL-infusion may put light on the power shift that comes with the presence of AI in society.

Det hotade universitetet
Idén om att toppstyra universiteten vinner alltmer mark i förhoppning om ökad kreativitet, ekonomisk tillväxt och innovation. Detta trots att de framgångar som forskningsuniversiteten har skördat de s