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  1. Progetti

"EvoGamesPlus - Evolutionary games and population dynamics: from theory to applications" (Call H2020-MSCA-ITN-H2020)

Progetto
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.
  • Dati Generali
  • Aree Di Ricerca
  • Pubblicazioni

Dati Generali

Partecipanti (2)

SAPINO Maria Luisa   Responsabile scientifico  
SERENO Matteo   Partecipante  

Referenti (2)

COSTA Daniela Nicoletta   Amministrativo  
LO IACONO Cristiano   Amministrativo  

Dipartimenti coinvolti

INFORMATICA   Principale  

Tipo

H2020 Marie Sklodowska-Curie Innovative Training Networks - European Joint Doctorates (ITN-EJD)

Finanziatore

EUROPEAN COMMISSION
Ente Finanziatore

Partner

Università degli Studi di TORINO

Contributo Totale (assegnato) Ateneo (EURO)

228.699,68€

Periodo di attività

Marzo 1, 2021 - Febbraio 28, 2025

Durata progetto

48 mesi

Aree Di Ricerca

Settori (12)


PE6_12 - Scientific computing, simulation and modelling tools - (2013)

PE6_6 - Algorithms, distributed, parallel and network algorithms, algorithmic game theory - (2013)

Settore INF/01 - Informatica

CIBO, AGRICOLTURA e ALLEVAMENTI - Farmacologia Veterinaria

CULTURA, ARTE e CREATIVITA' - Culture moderne

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Digitalizzazione della Società e della Pubblica Amministrazione

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Industria X.0

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Salute e Informatica

PIANETA TERRA, AMBIENTE, CLIMA, ENERGIA e SOSTENIBILITA' - Diritto dell'Ambiente

PIANETA TERRA, AMBIENTE, CLIMA, ENERGIA e SOSTENIBILITA' - Informatica e Ambiente

SCIENZE MATEMATICHE, CHIMICHE, FISICHE - Fisica delle Particelle e dei Nuclei

SCIENZE MATEMATICHE, CHIMICHE, FISICHE - Laboratori innovativi, strumentazione e modellizzazione fisica

Parole chiave (3)

Modelli epidemiologici
microeconomic theory, decision theory, game theory
modelling
No Results Found

Pubblicazioni

Pubblicazioni

(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning 
ACM TRANSACTIONS ON SPATIAL ALGORITHMS AND SYSTEMS
2024
Articolo
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