13 January 2020

A new Horizon2020 grant quantifies migration scenarios for better policy

IIASA researchers from the World Population Program partner in a new European Union funded project that will have a focus on migration in Europe.

© Milan Petrovic | Dreamstime.com

© Milan Petrovic | Dreamstime.com

IIASA researchers are successfully partnering in a new Horizon2020 project. The project will have a focus on migration and will have a duration of 3 years, starting in February 2020. The Quantifying Migration Scenarios for Better Policy (QuantMig) project aims to produce comprehensive, multi-perspective and robust quantitative migration scenarios to support various areas of European migration policy, based on the cutting-edge developments in conceptualising, explaining, estimating and forecasting migration.

Patrick Sabourin and Guillaume Marois are the IIASA partners in this project. Both researchers have in recent years developed a microsimulation model in the framework of the IIASA-JRC Centre of Expertise on Population and Migration (CEPAM). The work of CEPAM will have synergies with the microsimulations and dissemination activities in this project. The migration scenarios will complement those based on age, gender and education developed within the new JRC-IIASA CEPAM initiative. 

More information is available on the website of the European Commission.

Abstract: Quantifying Migration Scenarios for Better Policy (QuantMig)

The aim of QuantMig is to produce comprehensive, multi-perspective and robust quantitative migration scenarios to support various areas of European migration policy. The project will advance the methodology of scenario generation whilst being firmly grounded in cutting-edge developments in conceptualising, explaining, estimating and forecasting migration. QuantMig will further the understanding of conceptual foundations of European migration flows and their key drivers in origin, destination and transit countries. Particular focus will be on mobility of third-country nationals and decision-making of migrants. The scenarios will be based on a bespoke set of statistical estimates derived from a distinctive and comprehensive set of harmonised data on migration and its drivers. Rigorous and innovative methods will be developed and applied to creating interactive simulation models, describing scenario uncertainty, and providing early warnings. The unique features of QuantMig include building a comprehensive knowledge base on migration and its drivers, far beyond the state of the art. The strong quantitative slant of the project will improve migration data and related analytical methods, offering an innovative assessment of their quality and uncertainty, in line with the current European policy priorities. The project remains fully relevant to the work programme, addressing all specific areas of the call. Put together by a unique consortium of leading European institutions with excellence in demography and migration, in continuous dialogue with key users and stakeholders, QuantMig will deliver a range of directly applicable tools for policy support. The dissemination and policy activities will integrate the stakeholder perspective throughout the project. The project outputs: open data and models, accessible interactive tools and visualisations, and a range of simulations for migration policy and planning, will ensure significant impact and a lasting legacy of the project.

This project receives funding from the European Union’s Horizon 2020 research and innovation program under grant agreement no 870299, project name: Quantifying Migration Scenarios for Better Policy (QuantMig).


Print this page

Last edited: 13 January 2020

CONTACT DETAILS

Guillaume Marois

Research Scholar

World Population

T +43(0) 2236 807 486

IIASA project

Quantifying Migration Scenarios for Better Policy (QuantMig)

RESEARCH PARTNERS

Research at IIASA's World Population Program

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313