Scaling and deploying innovations in migration management

Expected Outcome:Projects should contribute to all of the following expected outcomes:Enhanced impact of EU-funded migration research by identifying and scaling up promising innovations, methodologies, and tools from relevant Horizon 2020 and Horizon Europe projects.A policy innovation ecosystem: Foster collaboration between researchers, policymakers, and practitioners to adapt, scale, and deploy validated models, ensuring their scalability, sustainability, and practical application in diverse EU, national and local contexts. Scope:Despite significant EU investment in migration research, many innovative solutions to gain insights and foresight remain underutilized in policymaking and practice. This topic aims to bridge that gap by systematically identifying, assessing, and facilitating the adoption of promising approaches developed in past EU-funded migration related projects to ensure a better fungibility between knowledge-oriented activities on past or future trends of migrations and policy making.Proposals should map and analyse research outputs, methodologies, and innovations from relevant Horizon 2020 and Horizon Europe migration projects, selecting those with high potential for policy uptake, operational implementation, market deployment and scaling. Proposals should consider ways to validate, adapt, and scale up these solutions across different governance levels (EU, national, local) and migration-related domains implementing high ethical standards and ensuring fundamental rights and privacy of all individuals affected. Applicants are encouraged to engage key stakeholders - including policymakers, migration practitioners, researchers (including from SSH disciplines), the private sector; groups or individuals that represent the interests of refugees and migrants and the civil society - to ensure that identified innovations align with real-world needs and implementation pathways and taking into account the political, legal, and cultural specificities of each M