Diversity in Tech Resources
While the benefits of DE+I in tech (and EVERY industry) should be obvious, if you find yourself needing to make a business case for it, some of the resources below might help you do that.
In the USA Today article, “Why Diversity Matters to Your Tech Company,” author Joelle Emerson points to higher levels of creativity and innovation, improved performance, attraction of talent and better serving a diverse user base as key benefits.
“How to Make the Business Case for Workplace Diversity in 7 Steps” from the Greenhouse blog highlights research from McKinsey, the Stanford Graduate School of Business and University of Illinois at Chicago.
In the Financial Times article, “The Evidence is Growing – There Really is a Business Case for Diversity,” research shows “two-dimensional diversity” including gender, race, language and global experience can lead to expanded market share/new market capture and better understanding of end users.
Anita Borg Institute suggests a number of concrete steps to take to recruit more technical women, as well as interview do’s and don’ts and relevant professional organizations.
Hire More Women in Tech includes a consolidated list of important supporting articles.
Techstars surveyed ~700 founders globally to understand what challenges they face in building their companies with diversity and inclusivity in mind.
In The TED Interview, “Mellody Hobson Challenges Us to Be Color Brave,” sharing her thoughts around, examples and benefits of building a diverse organization.
Kat Li surfaces how Native Americans are “The Invisible Minority of the Tech World.”
If you are in a recruiting role, consider engaging with or supporting some of the following organizations.
- Power to Fly
- Out in Tech
- National Society of Black Engineers (NSBE)
- Women Who Code
- Mother Coders
- Black Girls Code
- Latinas in Computing
Also consider analyzing the sentiments of your job descriptions using a tool like Textio, work with a diversity-focused recruiting platform like Joonko, or a platform intended to reduce bias like Applied.