Context: The need for socially innovative care models is crucial in addressing the challenges posed by ageing populations. Social innovations developed in other settings often require adaptation to ensure they are the best fit for a new setting.

Perspective: We propose that participatory Theory of Change workshops can strengthen the development and adaptation of best-fit social innovations in long-term care by engaging multiple stakeholders to develop a program theory which describes how a complex programme or policy is hypothesised to work in a given context. We use an example from InCARE, a European Union funded project from 2020 to 2023, which aimed to develop and use participatory processes to design and implement social innovations for long-term care in Spain, Austria and North Macedonia.

Implications: Theory of Change can work to develop a common vision with stakeholders, identify and adapt innovative ideas, engage early and meaningfully with stakeholders and partner with stakeholders who can support sustainability as well as outline the challenges and limitations inherent in the Theory of Change approach.

This discussion paper presents an overview of key challenges and trends in the UNECE region in four policy areas relevant to the Social Protection and Inclusion Research team at the European Centre for Social Welfare Policy and Research: 1) Social assistance and minimum income policies, 2) Child and family policies, 3) Disability policies and social support services, and 4) Housing policies. 

This Thematic Review aims to identify policy frameworks and effective incentives available in the 27 EU Member States (MS) to activate and integrate persons with disabilities (PwDs) into the labour market and keep them in employment. 

The GDPoweR Data Visualization project is an open-source R-based tool developed by researchers at the European Centre for Social Welfare Policy and Research to support the analysis of data retrieved through Subject Access Requests by platform workers. It enables the creation of interactive dashboards from potentially large and disjointed datasets, providing users with access to clearly structured statistics and visualizations related to earnings, work schedules, deliveries, and location data.