127089 20240731103345.0 doi 10.5334/cstp.587 sideral 134500 ART-2023-134500 eng Gonzalo, Alejandro Collective intelligence to find solutions to the challenges posed by the Sustainable Development Goals 2023 Access copy available to the general public Unrestricted The implementation of the United Nations (UN) Sustainable Development Goals (SDGs) presents a vast and intricate array of challenges, including the establishment of governance systems that engage all societal actors, particularly nongovernmental entities and youth, in proposing solutions and decision-making. This article investigates the potential of collective intelligence as a tool within citizen science to create solutions for SDG-related challenges and to establish or enhance necessary governance mechanisms. We detail a collective intelligence experiment conducted during the UN Climate Change Conference 2019 (COP25; Madrid, December 2–13), which aimed to generate a prioritised list of actions addressing SDG 6, Water and Sanitation and SDG 13, Climate Action. The experiment involved 1,253 students aged 15 to 17 who proposed, modified, and prioritised 14,517 ideas using an online platform created by Kampal, a spin-off of the University of Zaragoza. We discuss: a) participation protocols following citizen science methodologies; b) the platform description; c) results concerning the participation process, the tool’s effectiveness in collectively extracting the best solutions, and the quality of the generated proposals; and d) enhancements and new research directions for using citizen science and collective intelligence to tackle SDG-related challenges in a collaborative and participatory way. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.716 2023 Multidisciplinary 2023 Q1 4.7 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Sanz-García, Francisco Pelacho, Maite Tarancón, Alfonso Universidad de Zaragoza (orcid)0000-0003-2772-3762 Rivero, Alejandro (orcid)0000-0002-6689-214X Varela, Olga Moreno, Alicia 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 8, 1 (2023), 47 [12 pp.] Citizen Science: Theory and Practice 2057-4991 2451748 http://zaguan.unizar.es/record/127089/files/texto_completo.pdf Versión publicada 1869824 http://zaguan.unizar.es/record/127089/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:127089 articulos driver 2024-07-31-09:52:02 ARTICLE