recommend
Comparing and modeling the use of online recommender systems
Computers in Human Behavior Reports, vol 15 Abstract This study explores a new way to model the adoption of AI, specifically online recommender systems. It aims to find factors that can explain the varia
Against the De Minimis Principle
Risk Analysis, https://doi.org/10.1111/risa.13445 Abstract According to the class of de minimis decision principles, risks can be ignored (or at least treated very differently from other risks) if the ri
‘Humans think outside the pixels’ – Radiologists’ perceptions of using artificial intelligence for breast cancer detection in mammography screening in a clinical setting
Health Informatics Journal Abstract This study aimed to explore radiologists’ views on using an artificial intelligence (AI) tool named ScreenTrustCAD with Philips equipment) as a diagnostic decision su
Malcolm Fairbrother: Trust and Public Support for Environmental Protection
Dr Malcolm Fairbrother, University of Bristol ABSTRACTMost people say they are concerned about the serious environmental problems confronting the world today and threatening the well-being of future ge
Predicting Alcohol Misuse Among Australian 19-Year-Olds from Adolescent Drinking Trajectories
Substance Use & Misuse, doi.org/10.1080/10826084.2018.1517172. AbstractBackground: Alcohol use in adolescence predicts future alcohol misuse. However, the extent to which different patterns of adol This study investigated how adolescent trajectories of alcohol consumption during the school years predict alcohol misuse at age 19 years. Data were drawn from 707 students from Victoria, Australia, longitudinally followed for 7 years. Five alcohol use trajectories were identified based on the frequency of alcohol use from Grade 6 (age 12 years) to Grade 11 (age 17 years). At age 19 years, participants completed measures indicating Heavy Episodic Drinking (HED), dependency – Alcohol Use Disorders Identification Test (AUDIT) and social harms. At 19 years of age, 64% of participants reported HED, 42% high AUDIT scores (8+), and 23% social harms. Participants belonging to a steep escalator trajectory during adolescence had twice the odds at 19 years of age of high AUDIT scores and social harms, and three times greater odds of HED than participants whose alcohol use slowly increased. Stable moderate consumption was also associated with an increased risk of HED compared to slowly increasing use. Abstinence predicted a reduced likelihood of all forms of misuse at 19 years of age compared to slowly increased alcohol use. Trajectories of drinking frequency during adolescence predict alcohol misuse at age 19 years. Although rapid increasing use presents the greatest risk, even slowly increasing drinking predicts increased risk compared to abstinence. The findings indicate that alcohol policies should recommend nonuse and reduced frequency of use during adolescence.
Fernando Filgueira: Latin America`s left shift: why, what it did, for how long and what comes after.
Fernando Filgueira, Senior researcher at CIPPEC (Argentina) and CIESU (Uruguay), and lead author for the UN-Women Gender Progress Report for Latin America and the Caribbean. ABSTRACT As countries in Lat
Charles Manski: Seminar with a skeptic
Charles F. Manski On the 21st and 22nd of January this year Charles F Manski was in Stockholm, invited by the Institute for Futures studies to hold three lectures on his newly published book Public Poli.
Regulating high-reach AI: On transparency directions in the Digital Services Act
Internet policy review, vol. 13:1 Abstract By introducing the concept of high-reach AI, this paper focuses on AI systems whose widespread use may generate significant risks for both individuals and soci

Olle Torpman
I defended my dissertation on the implications of libertarianism on different climate issues at Stockholm university, and since then I have researched, among other subjects, principles of just allocat
Understanding and exploiting information spreading and integrating information technologies
2011. Journal of Computer Science and Technology 26: 829-836. AbstractOur daily life leaves an increasing amount of digital traces, footprints that are improving our lives. Data-mining tools, like recomm