SHARPEI

The project addresses the need for improved efficiency in managing Cohesion Policy and regional programs. By integrating advanced data-driven decision-making and AI technologies, SHARPEI aims to optimize daily management, strategic planning, monitoring, and evaluation processes, ensuring efficient resource allocation and reducing regional disparities.
The project includes PPs from Italy, Sweden, Portugal, France, Belgium, Spain, Hungary, and Estonia, thus allowing a large framework for exchanging experiences, with alla partners playing a key role in the project's phases, focusing on context assessment, interregional learning and GPs exchange, stakeholder engagement through thematic workshops, staff exchanges, and study visits. This leads to policy improvement in each region followed by a final monitoring phase to evaluate results. These activities aim to build capacity in the PPs region, foster innovation, and ensure effective AI tool integration.
By working on its three main paths (efficiency, accountability, forecast) along with a horizontal one (Cybersecurity Reliability and Compliance Backbone to set new standards for security and legislative compliance in data and AI use), SHARPEI aims to provide scalable solutions to enhance administrative capacity across EU regions, crucial for growth and innovation.
The project stands out by focusing on the intelligent use of data and AI in cohesion policy and regional programs management tools. Interregional learning and GPs exchanging will develop methodologies beneficial for current and future EU Cohesion Policy programming periods not only for PPs but also for other MAs across EU. All project achievements and results will be shared into thematic/technical forum and platforms and disseminated across EU to foster debate and discussion on their application for future improvements in policy-making and program management