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[Billi Mayhue]

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Narayanan and researchers at USC SAIL apply machine learning and AI to find patterns in and interpret data. They have developed and employed media intelligence tools in collaboration with the Geena Davis Institute on Gender in Media and Google to identify bias in film scripts and separately, within conversations General Assembly of the United Nations.

Narayanan was surprised to receive the award but grateful to provide digital tools to support historians and scholars in gaining a greater understanding of lived human experience and to quantify learnings from spoken testimony.

This recognition comes on the heels of other prominent awards that Professor Shri Narayanan has recently received. He was the recipient of the 2023 International Speech Communication Association (ISCA) Medal for Scientific Achievement, the most prestigious award offered by the preeminent organization in the field of human speech communication research at the global level. He was also named a Guggenheim Fellow in 2022.

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The project aimed to bring together Earth system scientists with macroeconomists and experts in the financial sector to deliver improved methods for estimating the environmental impact of companies and investments, thereby contributing to enhanced ESG methodologies both in Sweden and internationally. A tool, Earth System Impact score (ESI), has been tested in the mining sector, and use cases are being developed for various types of organizations (investors and companies).

n interactive, web-based tool that enhances the understanding of computable general equilibrium (CGE) models for a wide audience and facilitates the analysis of interactions between different environmental policies. A tool that, based on company CO2 emissions, water and land use, considers the interactions between these three and calculates a measure of planetary impact beyond just CO2 emissions. The ESI tool has been tested in the mining sector and is continuously tested to develop examples of how ESI can be used depending on the type of organization (investors, companies).

An interdisciplinary research group developed both WALRAS and ESI. The latter by connecting two modelling methods: LPJmL (global dynamic vegetation model) and a feedback model to derive amplification factors that can be used to calculate Earth system impact through information on a companys CO2 emissions, water, and land use.

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