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Present study aimed to integrate Geographic Information Systems (GIS) and Building Information Modeling (BIM) in conjunction with multicriteria decision-making (MCDM) to enhance infrastructure investment planning.

This analysis combines GIS databases with BIM simulations for a novel highway project. Around 150 potential alternatives were simulated, narrowed to 25 more effective routes and 3 options underwent in-depth analysis using PROMETHEE method for decision-making, based on environmental, cost and safety criteria, allowing for comprehensive cross-perspective comparisons.

A comprehensive framework proposed was validated through a case study. Demonstrating its adaptability with customizable parameters. It aids decision-making, cost estimation, environmental impact analysis and outcome prediction. Considering these critical factors, this study holds the potential to advance new techniques for assessment and planning railways, power lines, gas and water.

The study acknowledges limitations in GIS data quality, particularly in underdeveloped areas or regions with limited technology access. It also overlooks other pertinent variables, like social, economic, political and cultural issues. Thus, conclusions from these simulations may not entirely represent reality or diverse potential scenarios.

The proposed method automates decision-making, reducing subjectivity, aids in selecting effective alternatives and considers environmental criteria to mitigate negative impacts. Additionally, it minimizes costs and risks while demonstrating adaptability for assessing diverse infrastructures.

By integrating GIS and BIM data to support a MCDM workflow, this study proposes to fill the existing research gap in decision-making prioritization and mitigate subjective biases.

The purpose of this paper is to describe six recovery-oriented peer support experiences and strategies implemented in different regions of Brazil in the past 12 years, and explore challenges to their development and potential for empowerment and citizenship.

In this paper, a group of stakeholders in mental health services involving people with lived experience of severe mental illness describe their experiences with services of peer support. These were all conducted in Brazil and in partnership with the International Recovery and Citizenship Collective (IRCC) and The Yale Program for Recovery and Community Health. The authors met monthly to exchange experiences, studies and practices, and six experiences were selected, described, analyzed and compared. A discussion of these experiences, their challenges, impact and potential followed.

The explored experiences emphasize that peer support, lived experience leadership and advocacy are feasible in the Brazilian mental health system and can help advance the Brazilian Psychiatric Reform.

This paper is limited to the experience of researchers already engaged in peer support work in six cities in Brazil. Although they represent several different regions in Brazil, there are areas it has not reached. Further research should address and provide a broader view of peer support and recovery strategies spreading in the country.

These experiences demonstrate the feasibility and acceptability of the recovering citizenship approach to reduce stigma, promote empowerment, autonomy, activism and advocacy, and increase a sense of belonging for those in recovery and marginalized by society. The Brazilian psychiatric reform can benefit from including peer supporters as mental health treatment providers.

This paper provides a novel view of the state of the art of peer support initiatives in Brazil and can inspire individuals, government and communities as they see and understand the breadth, depth and meanings of these peer support experiences.

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).

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.

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).

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.

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.

The purpose of this paper is to analyze the relationship between empathy and social responsibility (SR) practices in a university organization in Brazil during the COVID-19 pandemic in 2020.

The research was qualitative, using case study methodology. The case study was about the Brazilian organization Ânima Educação, which is the greatest among the five largest publicly traded education companies in Brazil. Secondary data collection and content analysis was carried out.

As emotional response toward the problems caused by the pandemic, the company's leadership adopted an empathic behavior, allowing traces of its empathic culture to emerge. Empathy was expressed through the implementation of SR practices aimed at workers (policy of not firing in the first two months of the pandemic), at students (provision of technological apparatus, online classes, physical/psychological assistance and negotiation of late fees) and at the society (assistance to the elderly).

It was concluded that empathy can be taken as the emotional motivator for companies to engage in SR practices, especially in extreme circumstances in society, as the economic and health challenges that the world is experiencing with the COVID-19 pandemic nowadays. SR practices, in turn, can foster even more empathy in organizations, mobilizing leaders and their respective groups in the creation and implementation of new practices, thus demonstrating that the relationship between empathy and SR practices is a “two-way street.”

The purpose of this paper is to report on the results of an exploratory study on the use of unmanned aerial vehicles (UAV) as a visual data collection tool in the architecture, engineering, construction and facility management industry for the inspection of pathological manifestations in building facades.

The methodology used a field research experimental approach, where three case studies were carried out involving buildings of medium and high elevation. The protocol of activities included image collection and processing stages, as well as detailed analysis of the collected visual data for the identification of pathological manifestations in building facades.

The findings emphasize the technical feasibility and efficacy of inspections with UAV, showing that among the visual assets produced, digital photographs collected with the aircraft were more effective for the detection of pathologies when compared to the three-dimensional models and orthomosaics generated by digital photogrammetry software.

The research has formulated the protocol for the inspection of facades using UAV and the comparative analysis of visual assets that can be generated for inspection purposes.