HARNESSING DATA INNOVATION FOR MIGRATION POLICY: A PRACTITIONERS’ PERSPECTIVE
Migration has risen as one of the most challenging issues confronting policymakers around the world. The growing complexity of internal and cross-border human mobility has pointed out the need for accurate, timely, and reliable information to develop migration policy – a need that traditional data sources are often not well-suited to meet. Such a need is also reflected in the first objective of the Global Compact for Safe, Orderly and Regular Migration (GCM) – “Collect and utilize accurate and disaggregated data as a basis for evidence-based policies” – and in the 2030 Agenda for Sustainable Development. In 2018, IOM’s Global Migration Data Analysis Centre (GMDAC) founded the Big Data 4 Migration Alliance (BD4M) with the European Commission and the NYU GovLab to accelerate the responsible and ethical use of non-traditional data sources, such as social media, mobile phone data, satellite imagery, artificial intelligence and machine learning, to support migration-related programming and policy on the global, national, and local levels.
In this presentation, I will provide an overview of our work to (I) increase the availability of guidance and capacity-building content for national governments, civil society actors and other beneficiaries, (II) strengthen engagement with owners of non-traditional data in the private sector, and (III) present one of our recent studies, measuring public sentiments towards migrants by using Twitter data.