000127089 001__ 127089
000127089 005__ 20240731103345.0
000127089 0247_ $$2doi$$a10.5334/cstp.587
000127089 0248_ $$2sideral$$a134500
000127089 037__ $$aART-2023-134500
000127089 041__ $$aeng
000127089 100__ $$aGonzalo, Alejandro
000127089 245__ $$aCollective intelligence to find solutions to the challenges posed by the Sustainable Development Goals
000127089 260__ $$c2023
000127089 5060_ $$aAccess copy available to the general public$$fUnrestricted
000127089 5203_ $$aThe 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.
000127089 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000127089 592__ $$a0.716$$b2023
000127089 593__ $$aMultidisciplinary$$c2023$$dQ1
000127089 594__ $$a4.7$$b2023
000127089 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000127089 700__ $$aSanz-García, Francisco
000127089 700__ $$aPelacho, Maite
000127089 700__ $$0(orcid)0000-0003-2772-3762$$aTarancón, Alfonso$$uUniversidad de Zaragoza
000127089 700__ $$0(orcid)0000-0002-6689-214X$$aRivero, Alejandro
000127089 700__ $$aVarela, Olga
000127089 700__ $$aMoreno, Alicia
000127089 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000127089 773__ $$g8, 1 (2023), 47 [12 pp.]$$tCitizen Science: Theory and Practice$$x2057-4991
000127089 8564_ $$s2451748$$uhttps://zaguan.unizar.es/record/127089/files/texto_completo.pdf$$yVersión publicada
000127089 8564_ $$s1869824$$uhttps://zaguan.unizar.es/record/127089/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000127089 909CO $$ooai:zaguan.unizar.es:127089$$particulos$$pdriver
000127089 951__ $$a2024-07-31-09:52:02
000127089 980__ $$aARTICLE