DESTAQUE TERRITORIAL: PROPOSTA DE MODELAGEM SOCIOECONÔMICA E AMBIENTAL PARA AVALIAR A INSERÇÃO SOCIAL NOS PROGRAMAS DE PÓS-GRADUAÇÃO EM CIÊNCIAS AMBIENTAIS

Rodrigo Affonso de Albuquerque Nobrega; Sonia Maria Carvalho Ribeiro; Elaine Lopes da Costa; Diego Rodrigues Macedo; Patricia Bilotta; Isabel Jurema Grimm; Carlos Alberto Cioce Sampaio; Andreia Schypula; Joselisa Maria Chaves; Washington de Jesus Sant’Anna da Franca Rocha; Rodrigo Nogueira de Vasconcelos

doi:10.5327/Z2176-947820180372

Authors

Rodrigo Affonso de Albuquerque Nobrega Universidade Federal de Minas Gerais https://orcid.org/0000-0001-7058-5903
Sonia Maria Carvalho Ribeiro Universidade Federal de Minas Gerais https://orcid.org/0000-0002-3045-8632
Elaine Lopes da Costa Universidade Federal de Minas Gerais https://orcid.org/0000-0002-7238-0343
Diego Rodrigues Macedo Universidade Federal de Minas Gerais https://orcid.org/0000-0002-1178-4969
Patricia Bilotta Universidade Positivo https://orcid.org/0000-0002-2463-2331
Isabel Jurema Grimm Instituto Superior de Administração e Economia do Mercosul https://orcid.org/0000-0003-0211-8048
Carlos Alberto Cioce Sampaio Universidade Regional de Blumenau, Universidade Positivo https://orcid.org/0000-0002-0664-0266
Andreia Schypula Universidade Positivo https://orcid.org/0000-0003-4602-0958
Joselisa Maria Chaves Universidade Estadual de Feira de Santana https://orcid.org/0000-0003-3627-8074
Washington de Jesus Sant’Anna da Franca Rocha Universidade Estadual de Feira de Santana https://orcid.org/0000-0002-2175-2792
Rodrigo Nogueira de Vasconcelos Universidade Estadual de Feira de Santana https://orcid.org/0000-0002-1368-6721

DOI:

https://doi.org/10.5327/Z2176-947820180372

Keywords:

vulnerability; ecosocioeconomic analysis; geographic density.

Abstract

This article proposes a method to map and qualify the social insertion of Postgraduate Programs in CAPES’ Environmental Sciences area. The model was built based on the spatial integration of three key components: the socioeconomic vulnerability index (infrastructure, human capital, income and labor), the hemeroby index (land use and occupation), and the Postgraduate Programs’ geographic density. The solution uses map algebra to output the Geographic Highlights, which indexes ranging from 1 (low) to 10 (high). The validation of the model occurred with the 2017 quadrennial evaluation, when Geographic Highlights map supported CAPES consultants to qualitatively interpret the social insertion of Postgraduate Programs in the face of regional socioeconomic and environmental vulnerabilities. Other applications envisaged are: identification of priority areas for new courses, resource allocation (human and financial), encouraging the creation of collaborative networks, and, finally, analysis of former students’ professional insertion.