
This is the official account of the @EU_H2020 Project QuantMig: Quantifying Migration Scenarios for Better Policy (2020-2023). The project ended in July 2023.
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ALT Policy with Foresight Preparing for the future in a scientifically rigorous and actionable way Using anticipatory methods in policy should start with identifying the specific question and timeframe for which insights are needed. It is fundamental to assess which anticipatory methods can paint the kind of “bigger picture” often needed in long-term policy planning. The outputs of anticipatory methods depend on having relevant and robust data. Consider whether the available data suffice to carry out the chosen method. Are further data needed? Anticipatory methods are a process rather than a one-time assessment. Update and improve the data and/or models throughout the policy cycle. Think about the audience – what type of output will be most accessible for them? Transdisciplinary collaboration is vital for carrying out accurate and helpful anticipatory assessments. Different perspectives across disciplines and sectors widen the scope of what is known about the future.

ALT Image shows the Bibby Stockholm barge where refugees are expected to be housed in the UK. Text reads: 'Pull factors' for refugees. CPC-CG and QuantMig members Professor Jackie Wahba and Dr Valentina Di Iasio have found that people are likely to go where others from their family or community have gone. Personal contacts can provide information to other asylum seekers about the destination country, as well as offer help on arrival. Professor Wahba and Dr Di Iasio, from the University of Southampton, explained further in a recent article for The Conversation on the factors influencing people's migration decisions: People make decisions about where to live, when to leave and where to move based on several complex factors. Among policymakers and people who study immigration, the term “push” factor is used to describe what drives people to leave a country (for example, violence, persecution or poverty).




















