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Author Hernandez, Morela, author

Title How Algorithms Can Diversify the Startup Pool / Hernandez, Morela
Edition 1st edition
Published MIT Sloan Management Review, 2019
Online access available from:
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Description 1 online resource (10 pages)
Summary 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
Notes Mode of access: World Wide Web
Copyright © 2019 MIT Sloan Management Review 2019
Issuing Body Made available through: Safari, an O'Reilly Media Company
Notes Online resource; Title from title page (viewed August 21, 2019)
Form Electronic book
Author Raveendhran, Roshni, author
Weingarten, Elizabeth, author
Barnett, Michaela, author
Safari, an O'Reilly Media Company