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

Tudor, Maria Cristiana; Gomez Teijeiro, Lucia; Giovampaola, Camilla Della; Halopé, Hubert; Ugazio, Giuseppe (2024). Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropy In: Walker, Thomas; Wendt, Stefan; Goubaran, Sherif; Schwartz, Tyler (eds.) Artificial Intelligence for Sustainability: Innovations in Business and Financial Services (pp. 175-206). Cham: palgrave macmillan 10.1007/978-3-031-49979-1_9

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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.

Item Type:	Book Section (Book Chapter)
Division/Institute:	Business School > Institute for Applied Data Science & Finance Business School BFH Centres and strategic thematic fields > Thematic field "Caring Society" BFH Centres and strategic thematic fields > Thematic field "Sustainable Development"
Name:	Tudor, Maria Cristiana; Gomez Teijeiro, Lucia; Giovampaola, Camilla Della; Halopé, Hubert; Ugazio, Giuseppe; Walker, Thomas; Wendt, Stefan; Goubaran, Sherif and Schwartz, Tyler
Subjects:	H Social Sciences > H Social Sciences (General)
ISBN:	978-3-031-49978-4
Publisher:	palgrave macmillan
Language:	English
Submitter:	Lucia Gomez Teijeiro
Date Deposited:	21 Aug 2024 13:09
Last Modified:	21 Aug 2024 13:09
Publisher DOI:	10.1007/978-3-031-49979-1_9
Uncontrolled Keywords:	Artificial Intelligence Natural Language Processing SDG17 Partnerships Philanthropy
URI:	https://arbor.bfh.ch/id/eprint/22046