EvoGamesPlus: Evolutionary games and population dynamics: from theory to applications
Křivan Vlastimil, Department of Mathematics
01 Mar 2021 – 28 Feb 2025
EC, H2020-MSCA-ITN-2020, ID 955708
EvoGamesPlus (ID 955708)
Title CZ: Evoluční hry a populační dynamika: od teorie k aplikacím
Title EN: Evolutionary games and population dynamics: from theory to applications
PI: Křivan Vlastimil, Department of Mathematics
Coordinator: Staňková Kateřina, University of Maastricht, Netherlands
Partners: City University of London, London, UK; Max-Planck-Gesellschaft zur Forderung der Wissenschaften EV, Munich, Germany; Okologiai kutatokozpont, Tihany, Hungary; Technische Universiteit Delft, Delft, Netherlands; University College Cork - National University of Ireland, Cork, Ireland; Uniwersytet Warszawski, Warszawa, Poland; Medizinische Universitaet Wien, Vienna, Austria; Queen Mary University of London, London, UK; Universita degli Studi di Torino, Torino, Italy; The University of Liverpool, Liverpool, United Kingdom; Szegedi Tudomanyegyetem, Szeged, Hungary; Jihoceska univerzita v Ceskych Budejovicich, CZ; Instituto per L´Interscambio Scientifico, Torino, Italy
Duration: 01 Mar 2021 – 28 Feb 2025
Budget: 3 980 389,90 EUR (project) / 234 871,42 EUR (SCI)
Provider: European Commission
Evolutionary game theory (ETH) was developed as a mathematical tool for describing Darwin's evolution. It played a key role in elucidating the evolution of aggression (the hawk and turtle model) and the evolution of cooperation (the prisoner's dilemma). The original models focused on describing changes in the percentage of individual strategies (phenotypes) in a population and did not consider important factors such as changes in population size, interactions between two or more populations, social relationships etc. Over time, a number of these factors have been taken into account in the ETH and a number of new methodologies have been developed. ETH has also been used in areas such as economics, social sciences, political science and medicine. It is therefore a rapidly developing area both in the field of basic methodology and applications. Given that the development and applications of ETH require interdisciplinary knowledge in both mathematics and biology, this project offers early-stage researchers a good opportunity to acquire such knowledge. The project involves 15 European institutions and 15 collaborating institutions from around the world. The project focuses on 4 research topics, which on the one hand develop ETH methodological approaches (e.g. modeling of structured populations, differential equations) and also focus on applications (cancer modeling, modeling of the dynamics of interacting populations and epidemiology).
The aim of the EvoGamesPlus project is to train 15 young researchers who will get acquainted with the current state of knowledge in the field of ETH and will be able to apply the acquired knowledge to solve problems in the real world. EvoGamesPlus focuses on the following areas:
- Development of ETH models describing interactions in structured populations.
- Dynamic aspects of ETH.
- Application of ETH to cancer modeling and proposals of new approaches to treatment.
- Development of ecological and epidemiological models.
- Publications in scientific journals and conference proceedings.
- Regular presentations of the results at international scientific conferences by the ESR and other researchers working on this project.
- Presentation of results to students of local universities of academic institutions.
- ITN conferences will be open to all researchers and presentations will be freely available on the network's website.
- Whenever possible, data will be freely available through a public data repository.
- Each ESR will complete a secondment at least two times during their PhD programme at workplaces within the ITN.
A PhD project focused on “Models of eco-evolutionary dynamics of population interaction networks” under the supervision of Prof. Vlastimil Křivan is available on Euraxess and in PDF until Tue 31 Mar 2021.