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BAPS SIGNED

Bayesian Agent-based Population Studies: Transforming Simulation Models of Human Migration

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

BAPS project word cloud

Explore the words cloud of the BAPS project. It provides you a very rough idea of what is the project "BAPS" about.

epistemological directing cutting advice psychological ground simulation interacting foundations implementing predicted principles academic gap collect sources migration edge statistics possibilities generate filling cognitive methodological cognition innovative demography software managed meta pioneering practical model simulated agents baps demographer uncertain behavioural team language micro innovation decisions underpinning international follow computer collate agent models population breaking policy individuals allianz interdisciplinary networks leader statistical psychology theory expertise social area experiments bespoke experimental transform science 2015 bayesian simulations environment recognised mechanisms decision intelligent integrate

Project "BAPS" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITY OF SOUTHAMPTON Organization address address: Highfield city: SOUTHAMPTON postcode: SO17 1BJ website: http://www.southampton.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Project website	https://www.southampton.ac.uk/baps
Total cost	1˙455˙590 €
EC max contribution	1˙455˙590 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2016-COG
Funding Scheme	ERC-COG
Starting year	2017
Duration (year-month-day)	from 2017-06-01 to 2021-05-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITY OF SOUTHAMPTON UNIVERSITY OF SOUTHAMPTON Organization address address: Highfield city: SOUTHAMPTON postcode: SO17 1BJ website: http://www.southampton.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (SOUTHAMPTON)	coordinator	1˙413˙286.00
2	UNIVERSITAET ROSTOCK UNIVERSITAET ROSTOCK Organization address address: UNIVERSITATSPLATZ 1 city: ROSTOCK postcode: 18055 website: www.uni-rostock.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (ROSTOCK)	participant	42˙303.00

Map

Project objective

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.

Publications

List of publications.
year	authors and title	journal	last update
2019	Oliver Reinhardt, Martin Hinsch, Adelinde Uhrmacher, Jakub Bijak Developing Agent-based Migration Models in Pairs published pages: , ISSN: , DOI:	Proceedings of the Winter Simulation Conference 2019	2019-08-30
2019	Martin Hinsch, Jakub Bijak Rumours lead to self-organized migration routes published pages: , ISSN: , DOI:	Proceedings of the Artificial Life conference 2019.	2019-08-30
2018	Oliver Reinhardt, Jason Hilton, Tom Warnke, Jakub Bijak, Adelinde M. Uhrmacher Streamlining Simulation Experiments with Agent-Based Models in Demography published pages: , ISSN: 1460-7425, DOI: 10.18564/jasss.3784	Journal of Artificial Societies and Social Simulation 21/3	2019-06-12
2017	Jonathan Gray, Jason Hilton, Jakub Bijak Choosing the choice: Reflections on modelling decisions and behaviour in demographic agent-based models published pages: 85-97, ISSN: 0032-4728, DOI: 10.1080/00324728.2017.1350280	Population Studies 71/sup1	2019-06-12
2018	Jakub Bijak Model-Based Demography: Essays on Integrating Data, Technique and Theory published pages: 275-277, ISSN: 0032-4728, DOI: 10.1080/00324728.2018.1436026	Population Studies 72/2	2019-06-12

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The information about "BAPS" are provided by the European Opendata Portal: CORDIS opendata.