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2022-2-PL01-KA220-YOU-0001014262022Cooperation partnerships in youthfinalized
Countries: PL|DE|EL · Grant: €96,516
Quality and innovation of youth workYouth employabilityCareer guidance

Objectives

The project's implementation was focused on achieving the overall development of youth work and youth employment support. The project aimed to: -Improve the quality of work, activities, and practices of the participating partner organizations, -Build the capacity of partner organizations in international and cross-sectoral work for youth, -Facilitate transformation and change (at the individual, organizational, and sectoral levels) leading to improvements and new approaches to youth employment, -Meet common vocational and employment needs in the youth field. Thanks to the project's implementation and the achieved goals, the most important and immediate target group in our project, youth, benefited most from the support provided to the employment process. The partners also gained tangible results from the project's implementation; they also gained mutual informal and non-formal educational support, primarily at the local and national levels (Poland, Germany, Greece). By establishing partnerships, networking, and exchanging experiences, the project had a positive impact on youth work at the national, international, and European levels.

Background

We applied for the project due to its innovative nature,as artificial intelligence (hereinafter referred to as AI)can replace traditional recruiters in recruiting young people for internships and apprenticeships.We wanted to use AI to help young people find the right job,especially in the first stage of the recruitment process:selecting ideal candidates and matching them to appropriate organizations for internships or apprenticeships. AI in recruitment,using a machine learning system based on data supplied to the system, can, over time, independently perform tasks such as candidate selection. AI performs better in this role than a human recruiter. The time savings and lack of bias, characteristic of unbiased algorithms,are advantages of this solution,facilitating finding a new job quickly. The project addressed the following needs: -Support for youth employment -Increased innovation in the institution's activities -Acquisition of knowledge, experience, skills, human and organizational resources on an international scale -Increased labor standards -Creation and dissemination of IT and technical infrastructure for an innovative youth employment platform -Ecological and digital transformation for youth

Project partners (4)