Are some countries better equipped from the onset of a democratization process to become democracies? We compared successful and failed episodes of liberalization over the period 1900 to 2018 to exami

Mikael Bask, Department of Economics Uppsala University Abstract To foster a deeper understanding of the mechanisms behind inequality in society, it is crucial to work with well-defined concepts associa

Matthew Adler, Richard A. Horvitz Professor of Law and Professor of Economics, Philosophy and Public Policy ABSTRACTPrioritarianism is the equitable counterpart to utilitarianism. Rather than merely ad

Research seminar with Matthew Adler, Duke UniversityREGISTERAbstract The philosophical literature on consequentialism regularly distinguishes between “person-affecting” and “impersonal” moral justifica

Vienna Yearbook of Population Research 2022, vol. 20, pp. 1–32. Abstract In this study, we provide an account of mortality levels in Sweden in 2020, focusing on both excess mortality and mortality due t

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.

2009. Oxford University Press. Table of Contents Foundations1: Peter Hedström and Peter Bearman: What is analytical sociology all about? An introductory essay by Peter Hedström2: Peter Hedström and Lars Udéhn:

Completed: Social networks and immigrant integration

Is it possible to improve immigrants' social and economic situation by matching them with native Swedes? This projects seeks the answer to that question.

Child and Adolescent Psychiatry and Mental Health 15:69 (2021) Abstract The COVID-19 pandemic resulted in substantial disruptions to the daily lives of young people. Yet knowledge is lacking about change = 25). Respondents provided information on mental well-being (psychosomatic complaints, anxiety, depression, life satisfaction) and exposure to pandemic-related stressors (financial worries, health worries, discrimination, contact with COVID-19). Responses on mental well-being were matched to responses from two pre-pandemic waves.

Journal of Development Economics 166 (2024) Abstract We investigate the long-run impacts of Christian missions on female genital cutting (FGC) in Africa. Our empirical analysis draws on historical data o