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  • Project contributors: Bijak J, Forster J, Higham P, Nurse S, Smith P, Uhrmacher A, Modirrousta-Galian A,

    This Project is part of the following research programme/s:

    Population estimation and forecasting


    International migration is one of the most uncertain components of population change and a top-priority area for policy. The aim of the project 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. We want to change the way in which migration is understood, predicted, and managed by effectively integrating behavioural and social theory with modelling. Find out more on the project website.

    Publications & Activities

    Syrian Migration to Europe, 2011-21: Data Inventory
    Location: Bayesian Agent-Based Population Studies. (2021)
    Authors: Nurse S, Bijak J,

    Bijak J, Higham P, Hilton J, Hinsch M, Nurse S, Prike T, Reinhardt O, Smith P, Uhrmacher A, (2020) Modelling Migration: Decisions, Processes and Outcomes in Proceedings of the 2020 Winter Simulation Conference

    Agent-based migration models: Challenges and opportunities
    Agent-Based Models for Exploring Public Policy Planning (2019). (Lorentz Center, The Netherlands)
    Authors: Bijak J,

    New avenues in modelling migration
    BAPS workshop (2019). (University of Rostock)
    Authors: Bijak J,

    Streamlining simulation experiments with agent-based models in demography
    Journal of Artificial Societies and Social Simulation (2018). 21 (3) 9
    Authors: Reinhardt O, Hilton J, T W, Bijak J, Uhrmacher A,