Venture Capital

Showing 1-15 of 15

How Algorithms Can Diversify the Startup Pool

  • Essay
  • Read Time: 18 min 

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.

Pathways to Progress for Women Entrepreneurs

  • Blog
  • Read Time: 4 min 

The hidden obstacle to women who want to found B2B startups is often rooted in the way they are mentored and advised in the business world. Where men are more often coached in strategy and business tactics, women are more likely to be taught how to avoid internal politics and “fit in” culturally. This difference in mentoring leaves women at a disadvantage with respect to entrepreneurship.

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Showing 1-15 of 15