Prof. Amy Finkelstein speaks with Marketplace’s David Brancaccio about her new book “We’ve Got You Covered: Rebooting American Health Care,” which outlines a way to rethink health care in the U.S. “What every other high-income country does is have universal basic coverage with the ability to buy additional supplemental coverage for people who can afford and want more than that basic coverage,” explains Finkelstein. “And that’s what we need to do.”
In a letter to the editor of The Economist, Prof. David Autor makes the case that while pursuing industrial policy has substantial risks, “forswearing industrial policy has equally many risks, especially when our chief economic and strategic competitors are currently using it to great effect.”
Prof. Tracy Slatyer and Prof. Janet Conrad speak with Scientific American reporter Clara Moskowitz about their favorite discoveries in the field of physics. Slatyer notes that “the accelerating expansion of the universe has to be a strong contender.” For Conrad, “I think my favorite event in physics was the prediction of the existence of the neutrino [a subatomic particle with no charge and very little mass] because so much of our fundamental approach to physics today grew out of that moment.”
AP reporter Ronald Blum spotlights the premiere of Prof. Jay Scheib’s augmented reality-infused production of Wagner’s “Parsifal” at the Bayreuth Festival in Germany. “We sort of focus on a future society in which myth has become possible again," says Scheib. "But at the same time, we’re not that far in the future and the third act is set around a broken lithium-ion field. We’re set in a world that is somehow post-planet and post-collapse of energy production.”
At CSAIL’s Imagination in Action event, Prof. Stefanie Jegelka’s presentation provided insight into “the failures and successes of neural networks and explored some crucial context that can help engineers and other human observers to focus in on how learning is happening,” reports research affiliate John Werner for Forbes.
Prof. Jacob Andreas explored the concept of language guided program synthesis at CSAIL’s Imagination in Action event, reports research affiliate John Werner for Forbes. “Language is a tool,” said Andreas during his talk. “Not just for training models, but actually interpreting them and sometimes improving them directly, again, in domains, not just involving languages (or) inputs, but also these kinds of visual domains as well.”
Forbes reporter Marco Annunziata spotlights Prof. Amy Finkelstein’s new book, “We’ve Got You Covered.” Annunziata writes that “the book underscores the stunning absence of a health care budget," adding that the authors "do a great job at highlighting how the current setup poses no limit to expenditures and encourages doctors and providers to run up larger bills.”
Janet Echelman, the 2022-2023 Mellon Distinguished Visiting Artist at CAST, speaks with The Conversation about her journey to becoming a sculptor, her creative process, and future projects. “It’s important to me that each person can create their own meaning from art,” says Echelman. “They are the expert in their own experience. If my work offers a moment of contemplation and allows you to feel a sense of calm and your own interconnection with the wind, sun, people and city, then that’s all I could hope for.”
Prof. Daniela Rus, director of CSAIL, emphasizes the central role universities play in fostering innovation and the importance of ensuring universities have the computing resources necessary to help tackle major global challenges. Rus writes, “academia needs a large-scale research cloud that allows researchers to efficiently share resources” to address hot-button issues like generative AI. “It would provide an integrated platform for large-scale data management, encourage collaborative studies across research organizations, and offer access to cutting-edge technologies, while ensuring cost efficiency,” Rus explains.
In an article for The Boston Globe, Prof. Emeritus Ernest Moniz explores the risks associated with the cesium-137 devices used in hospitals. “Boston hospitals have an opportunity to receive tens of thousands of dollars of grants toward the purchase of new equipment that is just as effective for medical and research purposes as the radiological devices they have been using for decades,” writes Moniz, “while shedding the liabilities and security costs associated with cesium sources.”
In this video for Wired, Prof. Anne White explains the nature of nuclear fusion in five levels of increasing difficulty to a child, a teen, a college student, a grad student, and an expert. “Fusion is so exciting because it is extraordinarily beautiful physics, which underpins some of the most basic processes in our universe," says White. “Nuclear processes have a tremendously valuable application for humankind, a virtually limitless, clean, safe, carbon-free form of energy.”
Writing for The New York Times, MIT Prof. Amy Finkelstein and Stanford Prof. Liran Einav note that health insurance coverage for the Americans "who are fortunate enough to have insurance is deeply flawed.” Finkelstein and Einav make the case that the solution to health insurance reform is “universal coverage that is automatic, free and basic.”
Prof. Yossi Sheffi speaks with Marketplace host Meghan McCarty Carino about how AI has impacted the workplace, highlighting the wide deployment of robots in warehouses. “Instead of people running around the warehouses, the people stand and the robots run around the warehouses,” Sheffi said. “But they bring the work to the people who then put it in boxes, package them.”
Lecturer Guadalupe Hayes-Mota SB '08, MS '16, MBA '16 writes for Forbes about the ethical framework needed to mitigate risks in artificial intelligence. “[A]s we continue to unlock AI's capabilities, it is crucial to address the ethical challenges that emerge,” writes Hayes-Mota. “By establishing a comprehensive ethical framework grounded in beneficence, non-maleficence, autonomy, justice and responsibility, we can ensure that AI's deployment in life sciences aligns with humanity's best interests.”
Writing for Forbes, Prof. Daniela Rus, director of CSAIL, makes the case that liquid neural networks “offer an elegant and efficient computational framework for training and inference in machine learning. With their compactness, adaptability, and streamlined computation, these networks have the potential to reshape the landscape of artificial intelligence and drive further breakthroughs in the field.”