Plataforma de agregação de dados: aplicando data-driven decision making para orientar propostas de atividades de extensão e transferência de tecnologia visando a qualificação profissional

Abstract

Unemployment is a complex problem that hinders the socioeconomic development of a country. In Brazil, the national unemployment rate was 6.2% in 2024, representing approximately 7 million unemployed people. Paradoxically, many job vacancies are being created but remain unfilled. In this context, qualifications required by the labor market can represent a significant barrier to achieving parity between the skills demanded and those possessed by candidates. In this scenario, university outreach activities, which should primarily focus on areas of great social relevance, emerge as an alternative strategy to qualify the population, allowing knowledge generated at the university to be disseminated to the external community. Therefore, this thesis aims to propose a decision-making guidance tool for planning university outreach activities in undergraduate courses at the Federal Technological University of Paraná, using the Data-Driven Decision Making approach to address the employability of the external community. The methodology is based on a systematic literature review of researchrelated themes, as well as mapping and collecting labor market data, followed by establishing requirements and developing the tool. As a result, a platform was developed that provides local labor market information to university outreach project coordinators, enabling strategic planning of activities that promote employability in the external community. The research concludes that the integration between university and labor market, mediated by a data-driven approach, represents a promising path for addressing unemployment and strengthening the social mission of Brazilian public universities.