Urban Studies, DOI: 10.1177/0042098012458549 This paper provides evidence of segregation-generated differences in political recruitment. Focusing on social-geographical differentiation in the urban lan

Taking social-geographical differentiation in the urban landscape into account, this paper provides evidence of segregation-generated differences in political recruitment networks. It is found that ac

Going Solo and Connecting. Main speaker: Eric Klinenberg. Comments: Maria Törnqvist and Elizabeth Thomson. Eric Klinenberg, Professor of Sociologi and Director of the Institute for Public Knowledge at

Ann Legeby, KTH School of Architecture Seminars hosts are Peter Hedström, David Sumpter and Fredrik Liljeros from the Institute for Futures Studies. The seminars are free of charge and take place at 12

This paper examines the Nordic Social Democratic parties’ own efforts to manage the inner and outer challenges of the so-called Nordic welfare model, i.e. how it is described, legitimized, and what ro

The Swedish pension reform of the 1990s is here studied from a power-political perspective focusing on the Social Democratic Party. Despite a strong heritage in the “income security principle”, guidel

Place: The Institute for Futures Studies, Holländargatan 13, StockholmRegister hereInformality is on the rise. From remote labour and services-on-demand to food trucks and pop-up shops, its transformat

European Journal of Criminology. doi.org/10.1177/1477370818820656 Abstract Hand grenade attacks have increasingly been reported in Sweden. However, to date no research on the topic exists. The present st

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.