Harnessing Big Data to Mobilize Investors on Human Rights - DfG & DSI @Colmbia DSI & Rights CoLab

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May 1, 2022 Work at Rights CoLab through Data For Good Scholar Program in Columbia Data Science Institute.

Project Description

We uses natural language processing, machine learning, and other data science techniques to identify new relationships between labor-related human rights risks and financial materiality.

During my 3-months work, I work in the data science team to built word embedding extraction pipeline to spot similar domain-specific keywords (bigram/trigram/fourgram), also to extract relationships between terms, to provide insights in related text data.

I also work with the Expert Group, who provides subject matter expertise to the data project and makes recommendations on how to incorporate relevant findings into revised SASB standards to benefit workers while reducing reputational, operational, and legal risks for companies.

Project Website

Academic Roundtables

Rights CoLab at Truvalue Labs' Academic Roundtable - Rights CoLab

On April 5, Truvalue Labs hosted an Academic Roundtable featuring the latest research on ESG trends and events. Raiha Khan and Isha Shah of Rights CoLab's data team were invited to deliver a presentation on "Using Data Science to Surface Evidence for Better Integrating Human Rights into SASB Human Capital Standards."

https://rightscolab.org/news/truvalue-labs-academic-roundtable/

Progress Report

rightscolab.org

https://rightscolab.org/wp-content/uploads/2022/08/DEI-Mapping-Report_RightsCoLab.pdf

Code Archives

NLP-for-human-rights

sivannavis • Updated Apr 29, 2022

cover image from: McCormick, C. (2016, April 19). The Skip-Gram Model. Retrieved from http://www.mccormickml.com