José Carmino Gomes Junior, Sandra Dalila Corbari, Cláudia Terezinha Kniess, Gérsica Moraes Nogueira da Silva, Simone Caroline Piontkewicz, Maiara de Souza Melo, Amanda Silveira Carbone, Oklinger Mantovaneli Jr, Maria do Carmo Martins Sobral, Arlindo Philippi Junior, Felipe Fernandez, Ana Regina de Aguiar Dutra, Robert Samuel Birch, José Baltazar Salgueirinho Osório de Andrade Guerra and Carlos Alberto Cioce Sampaio
This paper aim to propose a methodological mapping approach for the evaluation of dissertations and theses of graduate programs in the area of environmental sciences in Brazil in…
Abstract
Purpose
This paper aim to propose a methodological mapping approach for the evaluation of dissertations and theses of graduate programs in the area of environmental sciences in Brazil in relation to the UN sustainable development goals (SDGs).
Design/methodology/approach
The research is characterized as exploratory with qualitative/quantitative approach. The proposed model was developed as a computational algorithm with a pilot being adopted as a professional master in national network for teaching in environmental sciences (ProfCiAmb) comprising associated courses from nine Brazilian public universities. 230 dissertations completed between 2018 and 2020 were analyzed.
Findings
A total of 266 correlations were identified between the texts and descriptors of each SDG. Correlation values between 0.100 (minimum value – Vmin) and 0.464 (maximum value – Vmax) were observed. SDG 4 – Quality Education (Vmax = 0.399) and SDG 6 – Drinking Water and Sanitation (Vmax = 0.464) were those with the highest correlation values, followed by SDG 3 – Health and Well-Being (Vmax = 0.299) and SDG 17 – Partnerships and Means of Implementation (Vmax = 0.249).
Practical implications
The construction of the computational algorithm provided consistent quantitative analyses with potential to contribute to the improvement of the multidimensional evaluation of graduate studies, as well as to support public policies related to teaching and research and strategic planning of the programs.
Originality/value
The relevance of this study lies in the creation of a model that involves the creation of metrics and tools regarding the impact of graduate studies on society.
Details
Keywords
Sandro Valença, Maria do Carmo M. Sobral, Daniella Ramos and Carmen Cavalcanti
The aim of the paper is to document the development of prospective scenarios for the village of Porto de Galinhas for the year 2018, based on the enlargement of the industrial and…
Abstract
Purpose
The aim of the paper is to document the development of prospective scenarios for the village of Porto de Galinhas for the year 2018, based on the enlargement of the industrial and portuary complex of Suape.
Design/methodology/approach
In order to conceive the prospective scenarios, the following methods were used: literature research; field research, to direct observations; semi‐structured personal interviews; and, qualitative analysis of the collected data and information.
Findings
The research identified four critical factors to the future environmental sustainability of the village of Porto de Galinhas: elaboration of Ipojuca's coast support capacity study; elaboration of Ipojuca's director plan; use and occupation of the area of the old holiday home of the Governor of the State of Pernambuco, in Maracaípe; and the enlargement of the industrial and portuary complex of Suape.
Practical implications
The following key aspects were found: creation of employment and income; industrial complexes; general infrastructure; education system; and environmental impacts. For each key‐aspect, the scenarios present forecasts that can guide the development of sustainable urban policies to Porto de Galinhas.
Originality/value
Both prospective scenarios, documented in the paper are clearly probable of practical application and, based on them, public, private and social organizations can develop policies of sustainable urbanization to the village. These will maximize the chances of the positive scenario being achieved and/or minimizing the chances of the negative scenarios happening.