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Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropy

In: Artificial Intelligence for Sustainability

Author

Listed:
  • Maria Cristiana Tudor

    (University of Geneva)

  • Lucia Gomez

    (University of Geneva)

  • Camilla Della Giovampaola

    (University of Geneva
    The Graduate Institute)

  • Hubert Halopé

    (University of Geneva)

  • Giuseppe Ugazio

    (University of Geneva)

Abstract

The United Nations (UN) Sustainable Development Goals (SDGs) 2030 Agenda captures the complexity of the challenges humanity is facing to prevent irreversible climate outcomes. Advancing the SDGs requires coordinated partnership action between governments, civil society, and private sector actors. Philanthropy is one of the critical forces in promoting and implementing activities geared toward the SDGs, given its altruistic concern for the public good. Parallelly, Artificial Intelligence (AI) is a crucial technology allowing organizations to optimize decision-making through data-driven tools and insights. However, the role of AI in upgrading philanthropic efforts remains largely untapped. This chapter outlines how AI can support the philanthropic sector towards SDGs achievement by enhancing the creation of SDGs-aligned partnerships among Philanthropic Organizations (POs). A bottleneck that reduces efficient coordination between POs is the insufficient knowledge and visibility of the SDGs-aligned activities conducted by other agents. To address this bottleneck, we propose an AI approach using Natural Language Processing (NLP) for mapping SDG coverage by POs in the Swiss ecosystem. This aims to increase visibility between POs and facilitate partnership formation, thus synergizing SDGs achievement efforts through cooperation and resource pooling.

Suggested Citation

  • Maria Cristiana Tudor & Lucia Gomez & Camilla Della Giovampaola & Hubert Halopé & Giuseppe Ugazio, 2024. "Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropy," Springer Books, in: Thomas Walker & Stefan Wendt & Sherif Goubran & Tyler Schwartz (ed.), Artificial Intelligence for Sustainability, chapter 9, pages 175-206, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-49979-1_9
    DOI: 10.1007/978-3-031-49979-1_9
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