We cordially invite junior researchers to apply for
Computational Social Science Summer School on Migration
June 10-21, 2019
The computational social science (CSS) summer schools serve as a research incubator aimed at fostering the use of data-driven methods in the social sciences and developing a contribution to the research fields of conflict, migration, and social cohesion. The 2019 summer school focuses on migration research.
During the summer school, eight teams of five people will work on a specific research project. Each team consists of three junior researchers and two senior experts/supervisors, with strong methodological expertise in CSS and in the field of migration research. Each team will work through the whole research process with the aim to prepare a manuscript for scientific publication and each project combines CSS methods with a research focus on migration. This involves data-driven modeling of migration and making use of simulation or prediction techniques. The projects may look, for example, into the consequences of migration and its relation to conflicts and social cohesion.
We especially encourage women to apply and welcome applications from social scientists with a focus on migration research and computational social scientists with interest in the topic. We offer shared accommodation in the summer school hotel including half board. Applicants may additionally apply for a travel grant.
Application deadline: February 17, 2019
For application, please check our call for participation online. For more information visit our website or contact us: firstname.lastname@example.org. For news, follow us on Twitter @BIGSSS_summer.
The summer school on conflicts is the second in a series of three CSS summer schools. In 2018, a summer school on conflicts took place in Bremen (Germany) and in 2020 a summer school on social cohesion will take place in Groningen (Netherlands). The summer schools are generously funded by the Volkswagen Foundation as part of its program International Research in Computational Social Sciences.