This research collaboration aims to define a strengthened set of disclosure standards through the Sustainability Accounting Standards Board (SASB) that investors can use to persuade companies to improve labor rights for both their workforce and workers in supply chains. The project has two components: 1) a data science project, and 2) an Expert Group. The data science project — carried out with the Data for Good Scholars (DfG) Program of the Data Science Institute of Columbia University — uses natural language processing, machine learning, and other data science techniques to identify new relationships between labor-related human rights risks and financial materiality. The Expert Group 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. Click here to learn more about the role of the Expert Group and the Project Objectives.
For a summary report of the first year of our work, click here.
The project is supported by a grant from Humanity United. Seed funding was provided by the Moving the Market Initiative of Humanity United, UBS Optimus Foundation, and Freedom Fund.
News
August 2022 Newsletter
Our fourth newsletter features our new research report, “What is DEI? Market Signals of Diversity, Equity, and Inclusion” that analyzes…
August 22, 2022
August 2022 Newsletter
August 22, 2022
Our fourth newsletter features our new research report, “What is DEI? Market Signals of Diversity, Equity, and Inclusion” that analyzes the metrics used by 21 influential organizations to reveal both common core understandings of DEI and significant differences in how DEI is conceptualized, measured, and managed. You can also find announcements for the Expert Group for the SASB Standards project’s comments on the International Sustainability Standards Board (ISSB) General Requirements Exposure Draft, US NAP Roundtable on Human Rights and Environmental Due Diligence in August, and progress made by our data team.
Columbia University Data Science Institute Features Our Work
In July our work with the Data for Good Scholars of Columbia University’s Data Science Institute was featured on the…
August 2, 2022
Columbia University Data Science Institute Features Our Work
August 2, 2022
In July our work with the Data for Good Scholars of Columbia University’s Data Science Institute was featured on the Institute’s site. Access the article here.
Our data science code and keyword dictionaries now publicly available
Our team’s data science code and keyword dictionaries are publicly available on Github and can be accessed at this link.…
June 3, 2022
Our data science code and keyword dictionaries now publicly available
June 3, 2022
Our team’s data science code and keyword dictionaries are publicly available on Github and can be accessed at this link.
Rights CoLab at Truvalue Labs’ Academic Roundtable
On April 5, Truvalue Labs hosted an Academic Roundtable featuring the latest research on ESG trends and events. Raiha Khan…
April 5, 2022
Rights CoLab at Truvalue Labs’ Academic Roundtable
April 5, 2022
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.”
In this interview series, data science team members tell us about their experience working to automate research on the financial…
January 25, 2022
New Series: Meet the Data Science Team
January 25, 2022
In this interview series, data science team members tell us about their experience working to automate research on the financial materiality of labor rights.
Our fourth newsletter features our new research report, “What is DEI? Market Signals of Diversity, Equity, and Inclusion” that analyzes…
August 22, 2022
August 2022 Newsletter
August 22, 2022
Our fourth newsletter features our new research report, “What is DEI? Market Signals of Diversity, Equity, and Inclusion” that analyzes the metrics used by 21 influential organizations to reveal both common core understandings of DEI and significant differences in how DEI is conceptualized, measured, and managed. You can also find announcements for the Expert Group for the SASB Standards project’s comments on the International Sustainability Standards Board (ISSB) General Requirements Exposure Draft, US NAP Roundtable on Human Rights and Environmental Due Diligence in August, and progress made by our data team.
Columbia University Data Science Institute Features Our Work
In July our work with the Data for Good Scholars of Columbia University’s Data Science Institute was featured on the…
August 2, 2022
Columbia University Data Science Institute Features Our Work
August 2, 2022
In July our work with the Data for Good Scholars of Columbia University’s Data Science Institute was featured on the Institute’s site. Access the article here.
Our data science code and keyword dictionaries now publicly available
Our team’s data science code and keyword dictionaries are publicly available on Github and can be accessed at this link.…
June 3, 2022
Our data science code and keyword dictionaries now publicly available
June 3, 2022
Our team’s data science code and keyword dictionaries are publicly available on Github and can be accessed at this link.
Rights CoLab at Truvalue Labs’ Academic Roundtable
On April 5, Truvalue Labs hosted an Academic Roundtable featuring the latest research on ESG trends and events. Raiha Khan…
April 5, 2022
Rights CoLab at Truvalue Labs’ Academic Roundtable
April 5, 2022
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.”
In this interview series, data science team members tell us about their experience working to automate research on the financial…
January 25, 2022
New Series: Meet the Data Science Team
January 25, 2022
In this interview series, data science team members tell us about their experience working to automate research on the financial materiality of labor rights.
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