Moteur de recherche d’entreprises européennes
Financement de l’UE (3 980 390 €) : Jeux évolutifs et dynamique des populations : de la théorie aux applications Hor03/09/2020 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
Jeux évolutifs et dynamique des populations : de la théorie aux applications
Evolutionary game theory (EGT) was developed to model biological populations, and the early models had great success in explaining apparently paradoxical biological behaviour. Animal and human populations are complex, however, involving important factors such as social relationships, space and time. Thus whilst EGT is a great tool to conceptualize and understand real-world biological interactions, standard EGT is often too simplistic and therefore insufficient to describe the interactions at hand with a sufficient level of realism. There has thus been a lot of work in developing more realistic models of populations, including by participants in this project, and this is a rapidly growing area. There is a great shortage of, and need for, highly trained and versatile researchers comfortable with the mixture of mathematical modeling, biological knowledge and expertise in computing and the analysis of data. It is rare for undergraduates to be taught all of these skills, and so a significant training focus is needed at PhD level. The development of a strong group of such researchers is at the centre of this proposal, and we have developed a training plan to give them the required expertise in the relevant areas, and their combination. We will pursue 4 research themes, 2 developing methodology and 2 focused on applications. The first concerns the modelling of structured populations, incorporating more realistic spatial and social interactions. The second considers important out of equilibrium dynamical concepts, often neglected in favour of equilibria. The third focuses on the mathematical modelling of cancer and its treatment. Here the two above concepts are especially important. The fourth considers ecological and epidemiological modelling where the focus is on structural complexity relating to the interplay of different timescales and the management and analysis of epidemiological data. Whilst specialising, all ESRs will gain knowledge of all of these important themes.
| City St Georges University of London | 303 173 € |
| HUN-REN Okologiai Kutatokozpont | 229 715 € |
| Istituto Per L'Interscambio Scientifico | 261 500 € |
| Jihoceska Univerzita V Ceskych Budejovicich | 234 872 € |
| MAX-Planck-Gesellschaft ZUR Forderung DER Wissenschaften e. V. | 252 788 € |
| Medizinische Universitaet Wien | 264 207 € |
| Queen Mary University of London | 606 345 € |
| Szegedi Tudomanyegyetem | 229 715 € |
| Technische Universiteit Delft | 531 240 € |
| The University of Liverpool | 303 173 € |
| Universita Degli Studi Di Torino | 261 500 € |
| Universiteit Maastricht | 0,00 € |
| University College Cork - National University of Ireland, Cork | 274 684 € |
| Uniwersytet Warszawski | 227 479 € |
https://cordis.europa.eu/project/id/955708
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.
