Innovating Works

BAPS

Financiado
Bayesian Agent based Population Studies Transforming Simulation Models of Human...
The aim of BAPS is to develop a ground-breaking simulation model of international migration, based on a population of intelligent, cognitive agents, their social networks and institutions, all interacting with one another. The pro... The aim of BAPS is to develop a ground-breaking simulation model of international migration, based on a population of intelligent, cognitive agents, their social networks and institutions, all interacting with one another. The project will transform the study of migration – one of the most uncertain population processes and a top-priority EU policy area – by offering a step change in the way it can be understood, predicted and managed. In this way, BAPS will effectively integrate behavioural and social theory with modelling. To develop micro-foundations for migration studies, model design will follow cutting-edge developments in demography, statistics, cognitive psychology and computer science. BAPS will also offer a pioneering environment for applying the findings in practice through a bespoke modelling language. Bayesian statistical principles will be used to design innovative computer experiments, and learn about modelling the simulated individuals and the way they make decisions. In BAPS, we will collate available information for migration models; build and test the simulations by applying experimental design principles to enhance our knowledge of migration processes; collect information on the underpinning decision-making mechanisms through psychological experiments; and design software for implementing Bayesian agent-based models in practice. The project will use various information sources to build models bottom-up, filling an important epistemological gap in demography. BAPS will be carried out by the Allianz European Demographer 2015, recognised as a leader in the field for methodological innovation, directing an interdisciplinary team with expertise in demography, agent-based models, statistical analysis of uncertainty, meta-cognition, and computer simulations. The project will open up exciting research possibilities beyond demography, and will generate both academic and practical impact, offering methodological advice for policy-relevant simulations. ver más
31/05/2022
SOUTHAMPTON
1M€
Duración del proyecto: 62 meses Fecha Inicio: 2017-03-27
Fecha Fin: 2022-05-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2022-05-31
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
ERC-2016-COG: ERC Consolidator Grant
Cerrada hace 8 años
Presupuesto El presupuesto total del proyecto asciende a 1M€
Líder del proyecto
UNIVERSITY OF SOUTHAMPTON No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5