[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117315-en":3,"doc-seo-117315-105":28,"detail-sidebar-cat-0-en-105":88},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":20,"language":21,"language_code":22,"site_id":23,"html_lang":22,"table_of_contents":24,"faqs":25,"seo_title":13,"seo_description":14,"update_tm":26,"read_time":27},117315,8796095461610,"Oliver","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","Encouraging Eco-Innovative Urban Development - Article Abstract","This article explores the interwoven relationships among artificial intelligence, machine learning, digital transformation, and computational sustainability in smart cities, explaining how these capabilities collectively empower citizens. It argues that AI and ML function as data-driven engines that personalize services, increase efficiency, automate key urban processes, and support resilient infrastructure management. It further describes digital transformation as a citywide integration of digital technologies that improves value delivery, while computational sustainability uses these tools to reduce ecological impact and enable environmentally responsible development.","algorithms  \nArticle  \nEncouraging Eco-Innovative Urban Development  \nVictor Alves 1,2,3, Florentino Fdez-Riverola 2,3, Jorge Ribeiro 1, José Neves 4,5 and Henrique Vicente 4,6, *  \nCitation: Alves, V.; Fdez-Riverola, F.; Ribeiro, J.; Neves, J.; Vicente, H. Encouraging Eco-Innovative Urban Development. Algorithms 2024, 17, 192 . [https://doi.org/10.3390/a17050192](https://doi.org/10.3390/a17050192)  \nAcademic Editors: Gloria Cerasela Crisan and Elena Nechita  \nReceived: 11 April 2024  \nRevised: 26 April 2024  \nAccepted: 28 April 2024  \nPublished: 1 May 2024  \nCopyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://](https://)[ ](https://)[creativecommons.org/licenses/by/](creativecommons.org/licenses/by/)[ ](creativecommons.org/licenses/by/)[4.0/](4.0/)) .  \n1 ADiT-LAB, Instituto Politécnico de Viana do Castelo, Rua da Escola Industrial e Comercial de Nun’Alvares, 4900-347 Viana do Castelo, Portugal; [vitoralves@estg.ipvc.pt](vitoralves@estg.ipvc.pt) (V.A.); [jribeiro@estg.ipvc.pt](jribeiro@estg.ipvc.pt) (J.R.)  \n2 CINBIO, Department of Computer Science, ESEI—Escuela Superior de Ingeniería Informática, Universidade de Vigo, 32004 Ourense, Spain; [riverola@uvigo.es](riverola@uvigo.es)  \n3 SING Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO,  \n36213 Vigo, Spain  \n4 Centro Algoritmi/LASI, Universidade do Minho, Campus de Gualtar, Rua da Universidade, 4710-057 Braga, Portugal; [jneves@di.uminho.pt](jneves@di.uminho.pt)  \n5 Instituto Universitário de Ciências da Saúde, CESPU, Rua José António Vidal, 81, 4760-409 Famalicão, Portugal  \n6 Departamento de Química e Bioquímica, Escola de Ciências e Tecnologia & REQUIMTE/LAQV, Universidade de Évora, Rua Romão Ramalho, 59, 7000-671 Évora, Portugal  \n* [Correspondence: hvicente@uevora.pt](Correspondence: hvicente@uevora.pt)  \nAbstract: This article explores the intertwining connections among artificial intelligence, machine learning, digital transformation, and computational sustainability, detailing how these elements jointly empower citizens within a smart city framework. As technological advancement accelerates, smart cities harness these innovations to improve residents’ quality of life. Artificial intelligence and machine learning act as data analysis powerhouses, making urban living more personalized, efficient, and automated, and are pivotal in managing complex urban infrastructures, anticipating societal requirements, and averting potential crises. Digital transformation transforms city operations by weaving digital technology into every facet of urban life, enhancing value delivery to citizens. Computational sustainability, a fundamental goal for smart cities, harnesses artificial intelligence, machine learning, and digital resources to forge more environmentally responsible cities, minimize ecological impact, and nurture sustainable development. The synergy of these technologies empowers residents to make well-informed choices, actively engage in their communities, and adopt sustainable lifestyles. This discussion illuminates the mechanisms and implications of these interconnections for future urban existence, ultimately focusing on empowering citizens in smart cities.  \nKeywords: smart cities; artificial intelligence; machine learning; digital transformation; computational sustainability; logic programming; the laws of thermodynamics; entropy  \nAlgorithms 2024, 17, 192. 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responsibility in smart cities?\",\"answer\":\"It uses AI, machine learning, and digital resources to minimize ecological impact and support sustainable urban 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