As investor interest in ESG (environmental, social, governance) continues to climb, it’s important to consider the quality of ESG data and how it is created. In particular, the social element of the initialism seems particularly hard to define and quantify as it spans employee diversity, human rights, animal testing, and consumer protections. How are data providers, aggregators, and ratings agencies meeting this challenge?
This session will discuss:
- A definition of ESG, especially social factors
- What puts a company “on the side of the angels” as far as the “S” is concerned?
- The recent history of demand ESG information and how data providers have responded
- The use of AI to assess companies against ESG parameters – how much weight is given to the “S” factor?
- How this sector/practice is expected to grow and evolve as the less easily measured “S” is better abled to be captured/measured?
