How Algorithms Can Diversify the Startup Pool

Data-driven approaches can help venture capital firms limit gender bias and make better, fairer investment decisions.

When pitching startups, men and women tend to have very different experiences in being evaluated for funding.1 Consider these questions that a venture capital investor might pose to aspiring business owners:

To a male entrepreneur: “Tell us about your vision for this venture.”

To a female entrepreneur: “Tell us about your track record for this type of venture.”

Research shows that men are more likely to receive promotion-focused (risk-loving) questions from investors; for women, prevention-focused ...

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