Berlin 2015 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 8: Poster

SOE 8.12: Poster

Monday, March 16, 2015, 18:00–20:00, Poster E

On commonalities between computational economics and computational neuroscience — •Bernhard A. Kaplan — Department of Computational Biology, Royal Institute of Technology, KTH, Stockholm, Sweden

Numerical simulations of mathematical models have become a valuable tool in all fields of science. However, there is rather little exchange between different disciplines regarding the challenges that are faced, e.g. the development of software tools for simulations or the descriptions of models. This contribution aims to show commonalities between two different disciplines, neuroscience and socio-economic modeling, and highlights perspectives for a beneficial exchange regarding modeling and simulation methods. Both disciplines deal with highly complex, temporally evolving systems, and scientists face similar challenges when it comes to building models that simultaneously cover multiple levels of detail and different temporal scales. An exchange of the ideas and best practices regarding software and methodology used in this endeavour could be highly beneficial for both disciplines. One of the major challenges in computational neuroscience includes the integration of experimental data, the development of models and the simulation of multi-scale models that are supposed to cover many levels of complexity. I will present some of the ideas and approaches in use and will argue for the benefits of using similar methods in the field of socio-economics and agent-based economic modeling.