- Research & Initiatives
- About Us
- MPI Europe
Helen McCarthy is a doctoral candidate at Middlesex University whose research interests include immigrant integration, the labor market, and citizenship. She previously worked with MPI Europe on Project UPSTREAM, looking at the mainstreaming of immigrant integration policies in the European Union. She has also worked at the Centre on Migration, Policy, and Society (COMPAS) at the University of Oxford; in the Integration and Faith team within the London Department for Communities and Local Government; and at Amnesty International in Brussels.
Ms. McCarthy holds a master’s degree in global migration from University College London and a master’s degree in social anthropology from the National University of Ireland, Maynooth.
As Brexit approaches, British pensioners in the EU-27 face a series of issues beyond those of the wider British population of the EU-27. This issue brief explores the diversity of the pensioner population and unique challenges ranging from whether UK state pensions will rise with the cost of living, to tax, health care, and access to social assistance issues, before considering key policy questions and recommendations for both EU and UK policymakers.
Even with an EU-UK deal on citizens' rights post-Brexit, there is much uncertainty for Britons living abroad in Europe. This report takes stock of what has (and has not) been agreed—from questions of continued residence and family rights to health-care and labor-market access. It breaks down the looming—and urgent—challenges EU Member States face in designing systems to adjust the legal status of their British residents.
Despite the broad appeal of the concept of "mainstreaming" in integration policy in Europe, few agree on its exact meaning. This report synthesizes the findings of the UPSTREAM project's country case studies, which examined the extent to which governments in France, the Netherlands, Poland, Spain, and the United Kingdom are employing mainstreaming to meet the needs of rapidly diversifying populations.