![](data:image/png;base64,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)
O projeto pretende estabelecer uma perspetiva inovadora no que se refere ao desenho de políticas urbanas para a redução das desigualdades socioeconómicas. Os cinco objetivos específicos do projeto são:
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providenciar uma compreensão analítica atualizada das desigualdades socioeconómicas na Europa pós-crise;
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avaliar as oportunidades à disposição das autarquias que contribuam para a redução das desigualdades socioeconómicas;
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compreender as causas, consequências e soluções possíveis para a privação de população urbana jovem (15-29);
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atingir inovações metodológicas no desenho de políticas;
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criar redes de disseminação que liguem os níveis local, regional, nacional e europeu.
O projeto pretende analisar os padrões e as experiências de desigualdade em dezasseis áreas urbanas da Europa, bem como as medidas e iniciativas relevantes para a redução das desigualdades. O seu foco é a população jovem, com incidência em termos temporais na crise de 2008, no período de posterior recuperação e na situação atual marcada pela pandemia Covid-19 (informação mais detalhada no folheto informativo do Projeto, em anexo). Em Portugal, a área urbana em estudo corresponde ao concelho da Amadora.
As áreas temáticas em análise (educação, mercado de trabalho, habitação e proteção social) serão alvo de aprofundamento, quer em termos de pesquisa sobre o estado da arte, quer através de entrevistas com interlocutores relevantes de entidades públicas e privadas, com algum grau de envolvimento, maior ou menor, na criação de medidas/politicas implementadas.
Página do Projeto
Resultados
Urban Report Amadora
Redes Sociais do Projeto
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)