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

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

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

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

Futures, vol. 167 Abstract We stipulate a normatively desirable scenario for food production in 2100 and formulate a specific technology-centered path to reach it. In this scenario, the human population

Hydrogeology Journal 25(4) pp. 1077-1091, doi: 10.1007/s10040-016-1504-x Abstract This study developed methodology for statistically assessing groundwater contamination mechanisms. It focused on microbiahumanitarian aid organisation Médecins Sans Frontières in 2010. The factors included hydrogeological settings, land use and socio-economic characteristics. The results showed that the residuals of a conventional probit regression model had a significant positive spatial autocorrelation (Moran’s I =3.05, I-stat = 9.28); therefore, a spatial model was developed that had better goodness-of-fit to the observations. The mostsignificant factor in this model (p-value 0.005) was the distance from a water source to the nearest Tukul area, an area with informal settlements that lack sanitation services. It is thus recommended that future remediation and monitoring efforts in the city be concentrated in such low-income regions. The spatial model differed from the conventional approach: in contrast with the latter case, lowland topography was not significant at the 5% level, as the p-value was 0.074 in the spatial model and 0.040 in the traditional model. This study showed that statistical risk-factor assessments of groundwater contamination need to consider spatial interactions when the water sources are located close to each other. Future studies might further investigate the cut-off distance that reflects spatial autocorrelation. Particularly, these results advise research on urban groundwater quality.

In the 1970s and 1980s, conservatives were prominent in climate and environmental issues. Now, this political domain is dominated by the left. How did this happen and what policies aiming to mitigate