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 courses:
- Epidemic modeling, by Marco Ajelli, Bruno Kessler Foundation, Trento, Italy, and Northeastern University, Boston, USA.
- Big data analysis, by Bruno Gonçalves, Big Data Center, New York University, NYC, USA.
- Modeling of social systems, by Andreas Flache, Dept. Sociology, Groningen University, The Netherlands.
- Economic systems, by Stefano Battiston, Institut für Banking und Finance, Universität Zürich, Switzerland.
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 comprise 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..
There is a registration fee of 100 euros to attend the school. Lunch and coffee breaks for all participants will be covered by the organization. Participants will have to cover the lodging expenses. A special price of 167 euros (single room) or 137.6 euros (shared double room) half-board, total for the five nights of the school, has been arranged with the Student Residence of the University of the Balearic Islands.
The number of participants is limited. We can still accept a few more students so if you are interested please register as soon as possible.
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