ESTiG - Capítulos de Livros
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Percorrer ESTiG - Capítulos de Livros por Objetivos de Desenvolvimento Sustentável (ODS) "08:Trabalho Digno e Crescimento Económico"
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- Culture as a model for the social inclusion of Brazilian migrants in PortugalPublication . Almeida, Lígia; Moutinho, Raquel; Silva, Natacha Jesus; Leite, Jorge; Oliveira, Marcelo; Caldas, JoséMigrants and refugees’ influx into Europe has been steadily rising, and social indicators consistently show a decrease in economic and social protection towards vulnerable populations. Recent research shows that a sense of belonging is central towards integration in a new country. Unfamiliarity with culture contributes to isolating migrants and prevents participatory citizenship. Our objectives are to identify gaps in cultural competence and accessibility to culture in our country, understanding their cross-sectoral consequences – namely regarding the Brazilian community. Our study followed a qualitative methodology (online semi-structured questionnaires) for collecting and analysing data (content analysis) and was conducted in Porto, the second largest Portuguese city. Participants were 38 Brazilian immigrants, contacted through NGOS’s, social associations and institutions during the pandemic. Brazilian collective is a strong consumer of cultural events and resources, having a very strong perception regarding its value and role when it comes to their own paths of integration.
- Fairness in Designing Decision-Making Processes with Multi-Agent Systems and Human FactorsPublication . Vieira, Gustavo; Zeiner, Herwig; Paletta, Lucas; Fernandes, Rui; Rosse, Higor; Sabiri, Khadija; Paz, Juan F. De; Barbosa, JoséThis paper explores the integration of Human Factors (HF) into Multi-Agent Systems (MAS) to enhance fairness in decision-making processes in Industry 5.0 environments. We contribute with a human-centred perspective in the development of MAS by integrating the physiological aspects of workers in the manufacturing industry. This culminates in the measurement of human resilience. This paper presents an automotive manufacturing environment where wearable sensors and AI-driven analytics assess workers' physiological and psychological stress levels to calculate a human resilience score. This score, along with worker preferences, supports a dynamic worker allocation algorithm based on MAS that adapts to production demands. Our approach embodies the Industry 5.0 vision of technologies that support adaptive, transparent and, above all, fair human management. The system uses advanced technologies to meet business goals and employee needs and to promote a more inclusive, supportive and people-centred work environment.