Leveraging AI Techniques to Analyze Corporate Documentation for ESG Indicators

Significant demand exists by society for information about how companies are conducting themselves on matters of environmental stewardship, social responsibility, and good corporate governance (ESG). Typically, however, such information is hampered by significant inconsistencies in availability, which hinders access to reliable information. Our goal in this research project is to address these obstacles faced by business, civil society, and governmental stakeholders in making informed decisions on a given company or industry. Our project will use the power of information technology to develop a software tool designed to ethically collect, organize, augment, and evaluate ESG data for a vast number of companies and industries to give a more complete picture of company/industry ESG activities. In doing so, this project addresses a significant research gap across information science and business by advancing research that provides measurable benefit to information stakeholders reliant on this data to make effective decisions

Faculty Supervisor:

Leila Tahmooresnejad

Student:

Partner:

Rel8ed.to Analytics

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Brock University

Program: