How Algorithms Can Diversify the Startup Pool

Book description

Biases related to gender and other demographic factors creep into decisions about which projects to fund with venture capital. Data-driven approaches can help tease out those biases and limit their impact. Algorithmic methods identify potential instances of discrimination and increase transparency, making it easier to find and fix problems. Aversion to algorithms can be tempered by letting decision makers retain some subjective control over the data-driven process.

Product information

  • Title: How Algorithms Can Diversify the Startup Pool
  • Author(s): Morela Hernandez, Roshni Raveendhran, Elizabeth Weingarten, Michaela Barnett
  • Release date: August 2019
  • Publisher(s): MIT Sloan Management Review
  • ISBN: 53863MIT61109