Avner de-Shalit, Professor of Political Science and Max Kampelman Chair of democracy and human rights at the Hebrew University of Jerusalem.Abstract All over the world immigrants move to cities, rather

With the help of big data and AI, children and young people in the risk zone for ill health can be identified for individually tailored efforts. The project is done in Angered.

I primarily do research in film and media studies but also work as a filmmaker and curator. My main interests lie in film archives, migration, and media archaeology. I have published my research in jou, , and , and have taught at New York University and the City University of New York.

Paolo Velásquez

I am a researcher at the Institute for Futures Studies and the University of Oxford'sCentre on Migration, Policy and Society (COMPAS).I am also affiliated to the Center for Responsible Leadership at t

The Paris Institute for Advanced Study and the 2100 Fondation in partnership with the Institute for Futures Studiesare launching the first Positive Future competition in order to encourage the elaboration

Melinda A. Roberts

I am a professor of philosophy at the College of New Jersey and serve as the coordinating prelaw advisor for the College. Previously, I worked as an associate at the law firm of Cleary, Gottlieb in Ne

2010. Proc Natl Acad Sci U S A 107:5706-5711. Abstract Like many other social phenomena, prostitution is increasingly coordinated over the Internet. The online behavior affects the offline activity; the r

This conference is a collaboration between Sweden and Canada Organized crime and violent extremism are violent threats to the democratic society. Sweden is a country where the number of shootings and e  

American Journal of Orthopsychiatry, 89(1), 40-51. DOI: 10.1037/ort0000369  Abstract Bisexual individuals experience poorer mental health than other sexual minority individuals. One explanation for this

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.