SGFIN recently signed two Memoranda of Understanding (MOUs) with leading institutions in Shanghai. [1️] MOE Laboratory for National Development and Intelligence Governance (NDIGL) in Fudan University, and [2] Shanghai Academy of AI for Science (SAIS).

In these MoUs, SGFIN aims to explore research projects on sustainable finance, AI, and big data;  potential interdisciplinary educational programs integrating AI technologies with sustainable finance; and improve the quality and consistency of sustainability data, particularly in the Asian context.

The signing was accompanied by a workshop where researchers from NUS and Fudan University presented cutting-edge research on these topics, including Prof Johan who presented research on how AI, including Explainable Natural Language Processing (XNLP), can enhance sustainability data and corporate assessments. His presentation highlighted how AI can help estimate the equity market pricing of corporate carbon footprints and address gaps in sparse sustainability data.

These partnerships represent a step forward in our mission to advance sustainable finance through data-driven, evidence-based, interdisciplinary research.