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Working Papers

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Economic Analysis and Policy

This paper proposes the use of synthetic training data generated by large language models
to improve machine learning SDG classifiers. It shows that supplementing existing training data with
synthetic data produced by the ChatGPT tool improves the performance of the SDGClassy classifier.
This addition of synthetic data is especially useful in building SDG classifiers given the limited availability
of properly labeled data and the complex, interconnected nature of the SDGs. Synthetic data thus enables
more effective machine-learning applications in this context.

Sustainable Development

This paper maps interrelationships among targets of the Sustainable Development Goal dedicated to oceans (SDG 14), as well as interrelationships between those targets and other SDGs. This is done using a large number of UN reports as well as scientific publications. The literature identifies many linkages among the targets of SDG 14; most of these targets are potentially synergistic with one another. Many linkages also exist between SDG 14 targets and other SDGs. Different targets under SDG 14 link to different SDGs. This has implications for policy discussions on how to achieve progress on SDG 14. The interrelationships that we highlight can be used as a tool for dialogue between policy…