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Applied Sciences
Special Issues
Engineering Applied to Sustainable Development Goals II
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Engineering Applied to Sustainable Development Goals II

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Green Sustainable Science and Technology".

Deadline for manuscript submissions: closed (15 October 2022) | Viewed by 2130

Special Issue Editors

Prof. Dr. Neftali Nuñez

E-Mail Website
Guest Editor
Solar Energy Institute, Polytechnic University of Madrid, 28040 Madrid, Spain
Interests: photovoltaic; reliability; III–V semiconductors; space and concentrator solar cells; LEDs; instrumentation; spectroscopy
Special Issues, Collections and Topics in MDPI journals
Dr. Margarita Martinez-Nuñez

E-Mail Website
Guest Editor
Department of Organization Engineering, Business Administration and Statistics, Polytechnic University of Madrid, 28040 Madrid, Spain
Interests: digital transformation; data envelopment analysis (DEA); business and management; environmental economics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The applied engineering should be the main driving force for the Sustainable Development Goals (SDGs) of the United Nations (UN). SDGs aim to end poverty, protect the planet, and ensure prosperity for everyone by 2030. These goals call for a better way to do engineering, by considering the SDGs, in order to ensure a safe future for everyone.

Applied engineering sciences—aerospace, marine, bioengineering, energy, civil, mechanical, computer, artificial intelligence, electrical, electronics, communications, industrial, robotics, and automation—would promote these encouraging goals. Advanced engineering developments that enhance anyone's future have a place in this Special Issue.

Therefore, this Special Issue is more aimed at the relevant SDGs and for new engineering applications, than at basic research or Earth sciences. Topics of interest include, but are not limited, to the following: renewable energy, new efficient-ecofriendly devices as LEDs, online low-cost quality education, instrumentation for controlling pollutants or deforestation, increase in water and sanity quality by engineering, resilience of civil engineering and sustainable cities to the climate change, and the reliability of equipment for the new climate conditions. Reviews are also welcome in this Special Issue.

The Special Issue of the journal Applied Sciences, “Engineering Applied to Sustainable Development Goals”, aims to cover recent engineering advances and applications in line with the United Nations Sustainable Development Goals.

Dr. Neftali Nuñez
Dr. Margarita Martinez-Nuñez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • engineering for good health and well-being
  • engineering for improving universal education
  • engineering for gender equality and reducing inequalities
  • engineering for clean water and sanitation
  • engineering for affordable and clean energy
  • engineering for industry, innovation, and infrastructure
  • engineering for sustainable cities and communities
  • engineering for responsible consumption and production
  • engineering for climate action
  • engineering for life below water and on land

Published Papers (1 paper)

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Research

25 pages, 3210 KiB  
Article
Evaluation of the Sustainable Development Goals in the Diagnosis and Prediction of the Sustainability of Projects Aimed at Local Communities in Latin America and the Caribbean
by Eduardo García Villena, Alina Pascual Barrera, Roberto Marcelo Álvarez, Luís Alonso Dzul López, Kilian Tutusaus Pifarré, Juan Luís Vidal Mazón, Yini Airet Miró Vera, Santiago Brie and Miguel A. López Flores
Appl. Sci. 2022, 12(21), 11188; https://0-doi-org.brum.beds.ac.uk/10.3390/app122111188 - 04 Nov 2022
Cited by 1 | Viewed by 1674
Abstract
The purpose of this article is to help to bridge the gap between sustainability and its application to project management by developing a methodology based on artificial intelligence to diagnose, classify, and forecast the level of sustainability of a sample of 186 projects [...] Read more.
The purpose of this article is to help to bridge the gap between sustainability and its application to project management by developing a methodology based on artificial intelligence to diagnose, classify, and forecast the level of sustainability of a sample of 186 projects aimed at local communities in Latin American and Caribbean countries. First, the compliance evaluation with the Sustainable Development Goals (SDGs) within the framework of the 2030 Agenda served to diagnose and determine, through fuzzy sets, a global sustainability index for the sample, resulting in a value of 0.638, in accordance with the overall average for the region. Probabilistic predictions were then made on the sustainability of the projects using a series of supervised learning classifiers (SVM, Random Forest, AdaBoost, KNN, etc.), with the SMOTE resampling technique, which provided a significant improvement toward the results of the different metrics of the base models. In this context, the Support Vector Machine (SVM) + SMOTE was the best classification algorithm, with accuracy of 0.92. Lastly, the extrapolation of this methodology is to be expected toward other realities and local circumstances, contributing to the fulfillment of the SDGs and the development of individual and collective capacities through the management and direction of projects. Full article
(This article belongs to the Special Issue Engineering Applied to Sustainable Development Goals II)
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