Ambivalence: A new unified theory about its nature, grounds, and application to normative conflicts

Having mixed feelings about something can help us to deal with conflicts. Since this view on ambivalence challenges traditional approaches that see ambivalence as a flaw, this project aims to develop a new theory of ambivalence.

European Sociological Review, 2017, Vol. 33, No. 3, 337–348 In research on fatherhood premiums and motherhood penalties in career-related outcomes, employers’ discriminatory behaviours are often argued

Postponed. New date pending. James Fishkin, Professor of Communication, Professor of Political Science (by courtesy) and Director of the Center for Deliberative Democracy, Stanford University. Abstract D

Olle Häggströmis professor of mathematical statistics at Chalmers University of Technology, researcher at the Institute for Futures Studies and a board member of the Royal Swedish Academy of Sciences

International review of social psychology, vol 37:1 Abstract Feygina and colleagues (2010, Study 3) reported that people who prefer the status quo can be encouraged towards pro-environmental responses w

Moa Bursell, Department of Sociology, Stockholm University Seminars hosts are Peter Hedström, David Sumpter and Fredrik Liljeros from the Institute for Futures Studies. The seminars are free of charge

Evolution and Human Behavior, Volume 38, Issue 3, Pages 421–427. Abstract To examine the evolutionary basis of a behavior, an established approach (known as the phenotypic gambit) is to assume that the b

Head of HR and Office, and Senior Research Coordinator Phone: +46 76-540 12 44E-mail:[email protected] As the head of HR and office, I have the overall responsibility for all HR areas of the inst

Conference paper, Annual Modeling and Simulation Conference (ANNSIM'25) Abstract The application of Agent-Based Modeling and Simulation (ABMS) has few established guidelines and oftensuffers from insuffdifferent types of model documentation in light of the European Union’s AI Act (AI Act). Our analysisreveals that best practices are often implemented together but ultimately reinforce the pre-existing viewthat ABMS frequently lacks adequate model documentation. This deficiency hinders evaluability, makingit difficult to conduct quality assurance prior to application and meaningful evaluation post application.We propose a framework that highlights the importance of different types of model documentation and theattributes they enable, which are valuable to both modelers and policy actors, albeit for different reasons.The AI Act provides a valuable opportunity to improve model documentation. By proactively developingand establishing guidelines, we can stay ahead of emerging legal requirements.

Big generative AI - Implications for creativity, art, and artists

Research seminar with Palle Dahlstedt, Professor in Interaction Design at Gothenburg University. In this lecture, Palle Dahlstedt will share a pragmatic, critical, and visionary view of what machine l