Speaker
Description
The Sustainable Development Goals (SDGs) of the United Nations as well as the Environmental, Social and corporate Governance (ESGs) are central factors in measuring the sustainability and societal impact of an action or an investment. Following research on sustainable investment with the Global Humanitarian Lab (GHL) we are analysing partnerships and collaborations between United Nations system organisations as well as private sector entities. The mapping and correlation techniques use models originally developed for HEP particle tracking and interconnected data graph/network analysis including Graph Neural Networks (GNN). We will present initial results of a mapping excursive in collaboration with Impact17 and the United Nations SDG Lab as well as discuss how HEP inspired analysis techniques can contribute to smart decision taking in sustainable investment and policy making, and through that showcase how fundamental research can contribute to create value for non-HEP domains.