MIT Sloan Professor Paul Osterman explains the importance of developing industry-specific strategies to improve the jobs of low-wage workers.
In the second blog of her two-part series, Dr. Nadia Shalaby explores how cutting-edge microbial technology could revolutionize agriculture across Africa. Building on research from MIT’s Furst Lab, she introduces “Mighty Microbes”—bioengineered, antioxidant-coated organisms that survive extreme cond...
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But recent research suggests that such wellness programs often have limited effectiveness. To truly build a healthier future of work, employers will need to address how their own management practices contribute to employee ill health—and focus on changing those.
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As a Sloan Fellow, Fernando Goldsztein, SF ’03, accomplished his goals and more, but the lessons learned and the connections made transformed his life in unimaginable ways.
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To support data science teams, start by pointing them toward the right problem.
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Ensuring Black lives matter in the workplace requires perspective taking, thoughtful leadership, and structural and symbolic changes within a company.
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Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
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Even for the well-intentioned, gender and racial pay equity is elusive. A fair starting line, real transparency, and long-term commitment are a must.
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A municipality's evolution.
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Solving a no-show problem.
