Many real-world processes in complex social systems can naturally be modeled by systems of agents interacting in networks. Approaches reach from informal descriptions of interaction dynamics and their computational implementations to more formal, mathematical models. In cooperation with the Berlin Mathematical School and the School of Complex Adaptive Systems at Arizona State University, this summer school shall bring together an international and interdisciplinary group of Master and Ph.D. students to learn about different modeling approaches for complex social systems through a series of expert lectures and hands-on workshops. Topics will include agent-based and network models with applications, for example, in opinion dynamics and the evolution of cooperation, as well as economics and archeological research.
We invite students from mathematics and related fields with a strong interest in societal phenomena and students from humanities or social sciences with a strong interest in quantitative research. While experience in computational or mathematical modeling is not required, a working knowledge of Python will be necessary to participate in the hands-on sessions.
The summer school is part of the Thematic Einstein Semester “The Mathematics of Complex Social Systems: Past, Present, and Future”. The semester is organized within the framework of the Berlin Mathematics Research Center Math+ and supported by the Einstein Foundation Berlin.
|09.06.||9:30-11:00||Welcome and Introduction, who is who|
|11:15-12:30||Decision Theatre Sustainable Mobility|
|14:00-15:30||Iza Romanowska(online): Agent-based models in archeology|
|10.06.||9:30-12:30||Michael Schaub: Networks|
|14:00-17:00||Martin Rosvall(online): Modeling and mapping network flows|
|13.06.||9:30-12:30||Renaud Lambiotte(online): Networks|
|14:00-17:00||Ingo Scholtes: Higher-Order Network Models|
||Sven Banisch: Opinion dynamics|
|14:00-17:00||Sven Banisch: Opinion dynamics|
||Joffa Applegate: Complexity Economics with Agent-Based Modeling|
|14:00-17:00||Joffa Applegate: Complexity Economics with Agent-Based Modeling|
|16.06.||9:30-12:30||Pawel Romanczuk: Modeling collective behavior with stochastic models|
|14:00-15:30||Pawel Romanczuk: Modeling collective behavior with stochastic models|
||9:30-12:30||Benjamin Ducke: Introduction to QGIS for archaeological data|
Pandemic conditions permitting, the school shall take place as an on-site event, in Berlin Dahlem, at Freie Universität Berlin and Zuse Institute Berlin. Participants are expected to attend the entire 7 days program. The number of participants is limited to 40, there is no tuition fee.
For the complexity economics session on Wednesday, the model can be found at the Computational Model Libray of the CoMSES network.
Application is closed.
Nataša Djurdjevac Conrad (ZIB), Stefan Klus (U Surrey), Luzie Helfmann (ZIB), Stefanie Winkelmann (ZIB), Sarah Wolf (FU/GCF)