Complexity Science has a privileged position to largely contribute to the advance of knowledge in social and economic systems. In this context, big data generated by Information Technologies has brought an unprecedented opportunity to explore human interactions and to better understand social and economic systems. Furthermore, the presence of new technologies provides new means of effective interaction among people and triggers the emergence of new social phenomena. The summer school will provide specific training on this new fast developing field addressed to Master and PhD students and to young postdocs. In particular, the school will cover the following 4 main topics:
-
Epidemic modeling, by Vittoria Colizza, Institut national de la santé et de la recherche médicale (Inserm), Université Pierre et Marie Curie and ISI Foundation.
-
Big data analysis, by Bruno Gonçalves, Big Data Center, New York University.
-
Modeling of social systems, by Andreas Flache, Dept. Sociology, Groningen University.
-
Economic systems, by Stefano Battiston, Institut für Banking und Finance, Universität Zürich.
The duration of the School is one week September 4-8, 2017, including one hour daily sessions of each of these main courses. The work language is English. The School will additionally include seminars and hands-on sessions in the afternoon. Participants are required to attend the full duration of the school and they are encouraged to present their research as a poster and as a short talk.
The number of participants is limited. Early applications can be submitted up to March 27, 2017, and will be answered by April 3. Regular applications, subjected to availability, can be submitted up to April 30, 2017.
Details on the application process and updates can be found at the School Webpage:
https://sociocomplex2017.ifisc.uib-csic.es/
This is a companion discussion topic for the original entry at https://www.comses.net/events/432/