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

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

Created
Mar 21, 2022 09:11 PM
update
Last updated December 12, 2022
Domain
Data Science
time
2022

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

Progress Report

Code Archives

NLP-for-human-rights
sivannavisUpdated Apr 29, 2022
 

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