Diversity
Ideas and insights about diversity from MIT Sloan.
7 reasons why your organization isn’t making DEI progress
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A new book from MIT Sloan lecturer Malia C. Lazu offers managers an actionable guide to diversity, equity, and inclusion.
The business benefits of inclusive local thriving
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Here’s how business leaders can attract and retain a diverse and inclusive workforce while helping local economies prosper.
The stereotype keeping East Asians from leadership jobs
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New research reveals that East Asians are often perceived as less creative and are consequently under-recommended for leadership jobs.
How Olive Garden and IHOP build relationships across income classes
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Research from MIT Sloan finds that casual chain restaurants like Applebee’s and Chili’s are the best places to meet and socialize with people from different income classes.
To increase workforce diversity, focus on these 10 opportunities
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A new book from The MIT Press identifies nudges, interventions, and experiments to help companies de-bias, attract diverse talent, and manage the workforce better.
Study demonstrates the value of ‘long ties’
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Maintaining relationships with distant contacts takes work but results in a more diverse network and increased access to economic opportunities.
Film producer Scott Budnick: Use your talent to make change
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“The Hangover” producer Scott Budnick left moviemaking to advocate for prison reform, then he came back. Here’s how he connects his two passions.
From Hollywood to the gridiron, advocates champion restorative justice
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Why film producer Scott Budnick, the New England Patriots’ Devin McCourty, celebrity barber VicBlends, and others are advocating for formerly incarcerated people.
4 ways to close the homeownership gap
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Experts share ideas on how to reduce the homeownership gap between white and minority households and create more equality in the housing market.
Let’s choose collective intelligence over the madness of mobs
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Evolution can drive prejudices, MIT Sloan economist Andrew Lo finds. To nurture group wisdom, biases in data sets must be documented and understood.