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.

Patrik Lindenfors, Associate Professor of Zoological Ecology. Abstract What explains successful democratization? We present a suggestion for a new solution that identifies the discrete beginning of a li

Political Science Research and Methods, 1-20 Abstract This paper introduces a new approach to the quantitative study of democratization. Building on the comparative case-study and large-N literature, it

Varieties of Democracy Institute: Working Paper No. 97. Abstract What explains successful democratization? This paper makes four contributions towards providing more sophisticated answers to this questishowing that while several established covariates are useful for predicting outcomes, none of them seem to explain the onset of a period of liberalization. Fourth, it illustrates how the identification of episodes makes it possible to study processes quantitatively using sequencing methods to detail the importance of the order of change for liberalization outcomes.

Journal of Applied Philosophy Abstract It is often acknowledged that public policies can constrain people’s procreative opportunities, in some cases even infringing their procreative rights. However, a

Campbell, Tim. 2021. I Klimat och moral - nio tankar om hettan, Magnus Linton (red.) Natur & Kultur: Stockholm Abstract

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

In a new study of political values among workers in the American tech industry researchers found a ”unique” dominance of left-liberal values and anti-establishement thinking. We asked Niels Selling, p

Statistics from Web of Scienceshow that researchers at the Institute for Futures Studies have considerable international impact. During 2010, 6250 articles were published in sociology journals worldwid

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