Overheating. Understanding accelerated change. Thomas Hylland Eriksen, professor at the Department of Social Anthropology, University of Oslo. ABSTRACTThe contemporary world is … too full? Too intense? All of the above, and more. Ours is a world of high-speed modernity where exponential growth can be found in domains as different as the number of cellphones in Africa and the number of international tourist arrivals. The fossil fuel revolution two centuries ago led to the contemporary ‘overheated’ world of exponential growth. The main dilemma of this overheated world is the insight that what was the salvation for humanity for two hundred years, namely fossil fuels, has rapidly become our damnation owing to climate change. This lecture outlines the parameters of ‘overheating’ and describes the main global challenges for our century.

Welcome to a seminar with Thomas Hylland Eriksen about the future of the nation. Main speaker:Thomas Hylland Eriksen, anthropologist and writer at the Department of Social Anthropology, University of O Lisa Pelling, Chief Analys at Arena Idé, and Peter Aronsson, PhD in history, Linneaus University. Göran Rosenberg.

The labor market has changed in recent decades, demanding a high level of education. Meanwhile, a high percentage of the individuals who have sought refuge in Sweden the past two years have been to sc

Amir Rostami

I am a Professor of Criminology and scientific leader at the University of Gävle. I obtained my Ph.D. in sociology from Stockholm University in 2016. I first trained as a police officer. Additionally,

Journal of Development Economics 166 (2024) Abstract We investigate the long-run impacts of Christian missions on female genital cutting (FGC) in Africa. Our empirical analysis draws on historical data o

Working papers 2022:1-11 Editor: Paul Bowman Proximity Principle, Adieu Robert E. Goodin Reconceiving the Democratic Boundary Problem David Miller The Boundary Problem and Platitudes About Democracy: A Conc

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.