The final workshop of the European project DATA EQUALITY will take place on July 9th in Rimini, Italy. The Euro-Arab Foundation is part of this project, which aims to prevent and combat intersectional data discrimination. This workshop brings together law enforcement agencies, judicial professionals, civil society organizations, and researchers to discuss the main conclusions from four thematic Working Groups. These groups focused on data collection and management, data analysis, data exchange, and bias and ethical issues in the use of data for Artificial Intelligence (AI) and Open Source Intelligence (OSINT) tools.
Throughout the project, participants from across Europe have explored common challenges and shared best practices. Through three transnational workshops and four specific working groups, they have identified key elements that should shape a Shared European Methodology on Equality Data. This new methodology aims to promote the ethical, secure, and inclusive use of data related to discrimination.
About DATA EQUALITY
DATA EQUALITY is a project funded by the European Commission through the Citizens, Equality, Rights and Values (CERV) Programme. The consortium, comprising nine members and coordinated by the Corte di Appello di Venezia, includes the Euro-Arab Foundation and the City Council of Murcia, along with other entities from various European countries. Launched in September 2024 and scheduled to conclude in May 2026, the project has three main objectives:
- Improve the capacities of public authorities to effectively investigate, prosecute, and adequately sentence discrimination incidents.
- Enhance cooperation and information exchange among public authorities (particularly district courts and municipal and regional administrations), as well as between public authorities and other stakeholders, such as civil society organizations and community representatives, to improve responses to discrimination, racism, xenophobia, and other forms of intolerance.
- Improve the discrimination recording and data collection system, enhance the methodological approach, and foster inter-institutional cooperation in data collection.