NETWORKS Match Makers Seminar
Over the past decade, multiple scientific disciplines have contributed to the understanding of how highly complex systems operate, with an increasing interest in synergies. The social sciences have provided insight into the structure of social entities and have developed theories explaining the patterns that are observed. The economic sciences have offered a perspective on how the behaviour by people is shaped by incentives and by their expectations about the behaviour of others. Computer science and mathematics have built a framework and a toolbox for explaining and quantifying the complexity that is encountered in various settings. This intriguing blend is part of a new research area under the name of network science, with a focus on explaining complex phenomena in social, economic and technological systems, and beyond.
On 20-22 January 2020 we organised a workshop, called NETWORKS Matchmaking Event, in which we brought together network scientists from the social and economic sciences with network scientists from mathematics and computer science, with the goal to explore the opportunity to build synergies. In the Fall of 2020 and the Spring of 2021 we plan a series of seminars in which we aim to take a step towards collaboration.
The first seminar takes place in the afternoon of October 20, 2020, and will be held online. The programme is as follows:
13:15-14:00 Danny Chan (Transtrend & UvA) + Michel Mandjes (UvA): Dynamics of Opinion
14:15-15:00 Ines Lindner (Tinbergen & VU) + Valentin Flietner (Tinbergen & EUR): Network
Models of Frailty
15:00-15:45 Discussion in separate groups
16:00-16:45 Plenary discussion
16:45-17:00 Conclusion and closing
Everyone who is interested is invited to participate, but we would like to ask you to register. You can register here.
THE NETWORKS MATCH MAKER SEMINAR IS AN INITIATIVE OF THE NETWORKS GRAVITATION PROGRAMME TOGETHER WITH INES LINDNER AND WITH CONTRIBUTIONS FROM THE GRAVITATION PROGRAMME SCOOP