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Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys
dc.contributor.author | Alonso Burgos, Sergio | |
dc.contributor.author | Montes Soldado, Rosa Ana | |
dc.contributor.author | Molina Cabrera, Daniel | |
dc.contributor.author | Palomares, Iván | |
dc.contributor.author | Martínez Cámara, Eugenio | |
dc.contributor.author | Chiachío Ruano, Manuel | |
dc.contributor.author | Chiachío Ruano, Juan | |
dc.contributor.author | Melero Rus, Francisco Javier | |
dc.contributor.author | García Moral, Pablo | |
dc.contributor.author | Herrera Triguero, Francisco | |
dc.date.accessioned | 2021-07-05T07:42:09Z | |
dc.date.available | 2021-07-05T07:42:09Z | |
dc.date.issued | 2021-05-27 | |
dc.identifier.citation | Alonso, S... [et al.]. Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys. Sustainability 2021, 13, 6038. [https://doi.org/10.3390/su13116038] | es_ES |
dc.identifier.uri | http://hdl.handle.net/10481/69505 | |
dc.description | This work was supported by the contract OTRI-4408 between the University of Granada and the Royal Academy of Engineering of Spain financed by Ferrovial S.A. Eugenio Martinez Camara was supported by the Spanish Government fellowship programme Juan de la Cierva Incorporacion (IJC2018-036092-I). | es_ES |
dc.description.abstract | The United Nations Agenda 2030 established 17 Sustainable Development Goals (SDGs) as a guideline to guarantee a sustainable worldwide development. Recent advances in artificial intelligence and other digital technologies have already changed several areas of modern society, and they could be very useful to reach these sustainable goals. In this paper we propose a novel decision making model based on surveys that ranks recommendations on the use of different artificial intelligence and related technologies to achieve the SDGs. According to the surveys, our decision making method is able to determine which of these technologies are worth investing in to lead new research to successfully tackle with sustainability challenges. | es_ES |
dc.description.sponsorship | University of Granada - Ferrovial S.A. OTRI-4408 | es_ES |
dc.description.sponsorship | Royal Academy of Engineering of Spain - Ferrovial S.A. OTRI-4408 | es_ES |
dc.description.sponsorship | Spanish Government fellowship programme Juan de la Cierva Incorporacion IJC2018-036092-I | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | Atribución 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Sustainable Development Goals | es_ES |
dc.subject | Artificial intelligence | es_ES |
dc.subject | Emerging digital technologies | es_ES |
dc.subject | Decision making | es_ES |
dc.title | Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.doi | 10.3390/su13116038 | |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |