Taking social-geographical differentiation in the urban landscape into account, this paper provides evidence of segregation-generated differences in political recruitment networks. It is found that ac

In: Arne Jarrick, Janken Myrdal, Maria Wallenberg-Bondesson (eds.). Methods in world history. A critical approach. Lund: Nordic Academic Press. Methods in World Historyis the first international volume

Forthcoming in Social Influence. Published online: DOI: 10.1080/15534510.2018.1540358. Abstract There is widespread segregation between workplaces along ethnic lines. We expand upon previous research on

Journal of Bioeconomics, 21(2), 123-144 Abstract Initially taking a theoretical stance, this paper relates firm-level processes and size distributions of firms at the industry level. An analytically tra

Population Research and Policy Review 41, p. 1619–1639 Abstract Modern fertility techniques allow parents to carry out preimplantation sex selection. Sex selection for non-medical purposes is legal in m

Evaluated by a robot. An experimental-ethnographic study of the automation of the recruitment process in a Swedish municipality

In a unique project the researchers will study the differences between an AI-based interview robot's and human recruiters' evaluations of jobseekers in a Swedish municipality during a year.

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.

Peter Edlund, Researcher at the Department of Business Studies, Uppsala University. Abstract In my presentation, I will develop a theoretical account that centers on how certain actors are constructed i

Exhibition of Tipping Point:Opening 1 June Galärparken, Djurgåren (close to Junibacken) at 5 pm (preview at 4:30 pm). Therafter daily 2-19 June, opens 11 am, last showing 3 pm every day.Seminar series3, 4, 9 and 14 June, see below.

Exhibition of Tipping Point: Opening 1 June Galärparken, Djurgåren (close to Junibacken) at 5 pm (preview at 4:30 pm). Therafter daily 2-19 June, opens 11 am, last showing 3 pm every day.Seminar series 3, 4, 9 and 14 June, see below.