Mobilizing collective intelligence and diversity toward Sustainable Development Goals

Jacquet, Catherine and Thinyane, Mamello, "Mobilizing collective intelligence and diversity toward Sustainable Development Goals" in The Routledge Handbook of Collective Intelligence for Democracy and Governance ed. Boucher, Stephen, Hallin, Carina Antonia and Paulson, Lex (London: Routledge, 2023), 407-414.

Document type:
Book Chapter
Collection:
UNU in Macau Book Chapters

Metadata
Links
Versions
Statistics
  • Author Jacquet, Catherine
    Thinyane, Mamello
    Book Editor Boucher, Stephen
    Hallin, Carina Antonia
    Paulson, Lex
    Chapter Title Mobilizing collective intelligence and diversity toward Sustainable Development Goals
    Book Title The Routledge Handbook of Collective Intelligence for Democracy and Governance
    Publication Date 2023-06
    Place of Publication London
    Publisher Routledge
    Start page 407
    End page 414
    Language eng
    Abstract The aspirational premise of the United Nations 2030 global development agenda is rooted in the understanding that achieving the 17 Sustainable Development Goals (SDGs) is only possible through partnerships among different stakeholders across society and at a global scale. Every year, UNLEASH, a global initiative first piloted in Denmark, gathers more than 1,000 young talents from all around the world in their Innovation Lab to think together about concrete solutions that can accelerate the success of the SDGs and reinforce innovation capacities everywhere. The core of this approach is to create an ecosystem that mixes young people from social entrepreneurship and the private sector, with committed academics as well as a network of experts and facilitators dedicated to these young talents. These UNLEASH Innovation Labs are not hackathons per se, but encounters that cultivate a collaborative state of mind, unleashing collective intelligence to create solutions to the enduring challenges of sustainable development.
    Copyright Holder Taylor & Francis
    Copyright Year 2023
    Copyright type All rights reserved
    ISBN 9781003215929
    DOI 10.4324/9781003215929
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 36 Abstract Views  -  Detailed Statistics
    Created: Fri, 20 Sep 2024, 16:24:13 JST by Qian Dai on behalf of UNU CS