Altering gendered language in job postings doesn’t attract more women
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A new MIT Sloan study finds that tweaking the amount of masculine or feminine language in online job postings doesn’t increase gender diversity in the applicant pool.
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A new MIT Sloan study finds that tweaking the amount of masculine or feminine language in online job postings doesn’t increase gender diversity in the applicant pool.
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Research finds Democrats and Republicans react to persuasive messaging in ways that don’t always align with their party leader’s stated positions.
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Blockchain’s permanent record is one of its strengths, but it can cause problems for marketing strategies and consumer privacy.
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Carmakers can spend $3 billion on a single design. Machine learning models can streamline the process — and bring fewer duds to market.
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A new book by MIT Sloan professor Catherine Turco explores how street-level markets are a central, and centrally important, social institution in American life.
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Circuit breakers are meant to calm the markets. But new research shows that they can backfire and create more volatility if not properly designed.
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Build business commitment, provide shared technology, and streamline handoffs to increase the odds of success.
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The 2023 Thinkers50 Radar list honors David Rand, a professor who researches the spread of misinformation online.
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New research shows that people are more likely to trust complicated machine learning models over models that they’re able to understand and troubleshoot.
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Liquid data assets help companies navigate change, experiment with new business models, and create new offerings for customers.