<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-27T23:49:49Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/123436" metadataPrefix="mods">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/123436</identifier><datestamp>2025-08-28T00:03:46Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_21</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
   <mods:name>
      <mods:namePart>Kubus, Renata Bárbara</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>López Domínguez, Ignacio</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Martín De Santos, Inés</mods:namePart>
   </mods:name>
   <mods:extension>
      <mods:dateAvailable encoding="iso8601">2025-08-27T08:43:17Z</mods:dateAvailable>
   </mods:extension>
   <mods:extension>
      <mods:dateAccessioned encoding="iso8601">2025-08-27T08:43:17Z</mods:dateAccessioned>
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   <mods:originInfo>
      <mods:dateIssued encoding="iso8601">2024-03-12</mods:dateIssued>
   </mods:originInfo>
   <mods:identifier type="citation">Kubus, R. ; López-Domínguez, I. ; Martín-de-Santos, I. (2024). Orchestrating Collective Intelligence: Conceptual Pathway to a Sustainability-Oriented Future. In: González-Alvarado, T.E. and Cabanelas-Lorenzo, P. (eds.). Navigating Collective Intelligence for Sustainable Futures. IGI Global Scientific Publishing, 2024, p. 1-32. DOI: 10.4018/979-8-3693-7272-2 ISBN13: 9798369372722 | ISBN13 Softcover: 9798369372739 | EISBN13: 9798369372746</mods:identifier>
   <mods:identifier type="isbn">9798369372746</mods:identifier>
   <mods:identifier type="isbn">9798369372722</mods:identifier>
   <mods:identifier type="doi">10.4018/979-8-3693-7272-2.ch001</mods:identifier>
   <mods:identifier type="uri">https://hdl.handle.net/20.500.14352/123436</mods:identifier>
   <mods:identifier type="officialurl">https://www.igi-global.com/chapter/orchestrating-collective-intelligence/363099</mods:identifier>
   <mods:abstract>This chapter explores in a structured way different aspects of collective intelligence, such as collectives, systems, and infrastructures, as well as their orchestration. It aims to contribute to the existing body of knowledge and provide a practical and actionable conceptual framework. The benefits of this study extend beyond academia to organizations and policymakers with the potential to drive innovation, improve decision- making, and address complex challenges in various domains. Globalization and technological change, increasing interdependencies, and optimizing some variables, such as resource extraction or consumption, have diminished the resilience of the global (eco)system. In the long run, the system is only as strong as its weakest element. Thanks to collective intelligence, these shocks could allow us to resize the global vision of solidarity and boost true resilience and sustainability.</mods:abstract>
   <mods:language>
      <mods:languageTerm>eng</mods:languageTerm>
   </mods:language>
   <mods:accessCondition type="useAndReproduction">restricted access</mods:accessCondition>
   <mods:titleInfo>
      <mods:title>Orchestrating collective intelligence: conceptual pathway to a sustainability-oriented future</mods:title>
   </mods:titleInfo>
   <mods:genre>book part</mods:genre>
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