Does the U.S. tax system incentivize companies to overinvest in automation—at the expense of jobs?
UNMAS tasked A-Lab with developing a machine learning model that could use satellite imagery to detect the presence of buildings and roads—key indicators of development— in areas of Afghanistan that UNMAS had cleared of explosives.
New research shows that group deliberation guided by interaction with the C-ROADS model can positively influence high school and college students’ climate change knowledge, attitudes, and behaviors.
The MIT Task Force on the Work of the Future, an MIT-wide task force recently released its report—and the report includes an extensive focus on improving economic prospects for U.S. workers, particularly those who lack a college education.
The pandemic has affected the type of learning the IBM employees in the study pursued, as this graph shows, but the researchers found that "overall learning consumption remains high."
At a recent virtual panel discussion organized at MIT Sloan, two industry executives and an MIT Sloan professor focused on the important and timely topic of people analytics, including how people analytics techniques can be used to ameliorate bias within organizations.
Two big shocks, rapid technological change and COVID-19, have recently rocked retail. But the effects on workers have not been uniform.
MIT Sloan MBA student Riddhima Sharma shares insights learned from a panel at MIT Sloan on "Managing with Fairness: The Role of People Analytics."
Income inequality has been increasing in the United States in recent decades, to a level higher than in a number of other comparable economies. But what’s driving that rise?
The future of work will include remote work, but that isn’t all there is to the hybrid model.
