Venue: Institutet för framtidsstudier, Holländargatan 13, 4th floor, Stockholm, and online Research seminar with Oskar Nordström Skans, Professor of Economics, Uppsala University. REGISTERAbstractUsing g

Oskar Nordström Skans och Lena Hensvik, Institutet för arbetsmarknads- och utbildningspolitisk utvärdering The Montgomery (1991) model of employee referrals suggests that it is optimal for firms to sel

Venue: Institute for Futures Studies, Holländargatan 13 in Stockholm, or online. Research seminar with Vito Peragine, Professor of Economics at the University of Bari. His work spans the area of public

Filip Olsson

I work as a researcher in sociology at the Institute for Futures Studies. In the fall of 2024, I defended my dissertation, Culture and Implicit Cognitions, at Stockholm University. My dissertation focu

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

I am Distinguished Professor of Philosophy at Australian National University, having previously served as Professor of Government at University of Essex. I work on a range of topics in political theor

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.

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.