The spread of COVID-19 has been high among the elderly and risk groups. This study aims to develop methods for knowledge acquisition, focusing on vulnerable groups.

Strategic Management Journal, 2022, 1-28 Abstract AI-based technologies increasingly substitute and complement humans in managerial tasks such as decision making. We investigate how such change affects

i: Sustainability The linkage between political right-wing orientation and climate change denial is extensively studied. However, previous research has almost exclusively focused on the mainstream righ= 2216), a mainstream right-wing party (the Conservative Party,,= 634), and a mainstream center-left party (Social Democrats,= 548) in Sweden. Across the analyses, distrust of public service media (Swedish Television,), socioeconomic right-wing attitudes, and antifeminist attitudes outperformed the effects of anti-immigration attitudes and political distrust in explaining climate change denial, perhaps because of a lesser distinguishing capability of the latter mentioned variables. For example, virtually all Sweden Democrat supporters oppose immigration. Furthermore, the effects of party support, conservative ideologies, and belief in conspiracies were relatively weak, and vanished or substantially weakened in the full models. Our results suggest that socioeconomic attitudes (characteristic for the mainstream right) and exclusionary sociocultural attitudes and institutional distrust (characteristic for the contemporary European radical right) are important predictors of climate change denial, and more important than party support per se.

Olle Risberg

I am a researcher at the Department of Philosophy at Uppsala University, Sweden, and at the Institute for Futures Studies in Stockholm. I am also a member of the Young Academy of Sweden. My research fo

Philosophical Studies Abstract In her ground-breaking and highly influential book Transformative Experience, L.A. Paul makes two claims: (1) one cannot evaluate and compare certain experiential outcomes  evaluate and compare certain intuitively horrible outcomes (e.g. being eaten alive by sharks) as bad and worse than certain other outcomes even if one cannot grasp what these intuitively horrible outcomes are like. We argue that the conjunction of these two claims leads to an implausible discontinuity in the evaluability of outcomes. One implication of positing such a discontinuity is that evaluative comparisons of outcomes will not be proportionally sensitive to variation in the underlying features of these outcomes. This puts pressure on Paul to abandon either (1) or (2). But (1) is central to her view and (2) is very hard to deny. We call this the Shark Problem.

Philosophy Compass 13 (6), 2018.  DOI:10.1111/phc3.12493.  Abstract The idea of reflective equilibrium (IRE) remains the most popular approach to questions about method in ethics, despite the masses of cr

International Journal of Philosophical Studies, Vol. 30, Issue 3: Ethics and the Emotions Abstract Climate change evokes different emotions in people. Recently, climate emotions have become a matter of normativization of climate emotionsaffective dilemmas

Journal of Medical Ethics 44: 109-113. doi.org/10.1136/medethics-2017-104250 Abstract Lifetime quality-adjusted life-year (QALY) prioritarianism has recently been defended as a reasonable specification o

Beyond reductionism: Contingent grounding and the Mind-Body Problem

I det här projektet undergrävs de två traditionella sätt på vilka man har betraktat kropp-medvetandeproblemet och föreslår en ny teori.

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.