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

Tudor, Maria Cristiana; Gomez, Lucia; Giovampaola, Camilla Della; Halopé, Hubert; Ugazio, Giuseppe

doi:10.1007/978-3-031-49979-1_9

Artificial Intelligence for Sustainability 2024

DOI: 10.1007/978-3-031-49979-1_9

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

Maria Cristiana Tudor,

Lucia Gomez,

Camilla Della Giovampaola

et al.

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2024

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Cited by 2 publications

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Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals

Wulff,

Meier,

Mata

2024

Sustain Sci

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A number of labeling systems based on text have been proposed to help monitor work on the United Nations (UN) Sustainable Development Goals (SDGs). Here, we present a systematic comparison of prominent SDG labeling systems using a variety of text sources and show that these differ considerably in their sensitivity (i.e., true-positive rate) and specificity (i.e., true-negative rate), have systematic biases (e.g., are more sensitive to specific SDGs relative to others), and are susceptible to the type and amount of text analyzed. We then show that an ensemble model that pools SDG labeling systems alleviates some of these limitations, exceeding the performance of the individual SDG labeling systems considered. We conclude that researchers and policymakers should care about the choice of the SDG labeling system and that ensemble methods should be favored when drawing conclusions about the absolute and relative prevalence of work on the SDGs based on automated methods.

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Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals

Wulff,

Meier,

Mata

2024

Sustain Sci

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Philanthropy, the 2030 Agenda and UN Diplomacy

Saner,

Yiu

2024

Nonprofit Policy Forum

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An increasing number of philanthropic organizations (inter alias, POs) are contributing to the implementation of the 2030 Agenda and its 17 SDGs and are involved with the multi-stakeholder process at the UN and other international Organisations. POs’ interest in participating in the SDG process has over the years increased due to the multiple crises that the world has to face caused by pandemics, war, food insecurity, poverty, and climate change. The interventions of POs are in general greatly appreciated but also questioned by some Civil Society Organisations (CSOs) who have some reservations about the intentions of POs. Within the family of UN agencies, several International Organizations (IOs) welcome POs and provide mechanisms of engagement (UN, UNDESA, UNDP, WHO). Some POs are taking part in the implementation of the SDGs and the related UN processes and are creating intermediary actors or organizations and platforms for greater scale and impact. Some POs are interested in creating a joint representation at the UN in the High-Level Political Forum (HLPF). This new development is the subject matter of this short commentary.

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

Cited by 2 publications

References 23 publications

Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals

Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals

Philanthropy, the 2030 Agenda and UN Diplomacy

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