Prof. Erik Demaine speaks with Boston Globe reporter Cate McQuaid about how combining the art of origami with computer science has enhanced his work in both fields. “We get stuck on a science problem and that inspires a new sculpture, or we get stuck trying to build a sculpture,” says Demaine, “and that leads to new science.”
Senior lecturer Tara Swart speaks with Los Angeles Times reporter Deborah Netburn about healthy compartmentalization. Swart says “at its most useful, compartmentalization is the ability to acknowledge challenges in your personal circumstances or current events, and make a conscious decision to not allow those things to take over your thoughts and emotions,” writes Netburn. “But that doesn’t mean shutting out the world.”
Elemind Technologies, a neuro-tech startup founded by scientists from MIT and elsewhere, is developing, “an approach that redirects brain wave through non-invasive stimulation – using sound, light, touch and electric pulses – to potentially address a range of neurological conditions in a more targeted ways than drugs,” reports Robert Weisman for The Boston Globe.
In a letter to the editor of The New York Times, Alfred Ironside, the MIT vice president for communications, addresses the necessary role staff play at MIT. “At MIT, the research and education enterprise requires far more to thrive than our outstanding faculty alone,” writes Ironside. He adds that the Institute’s staff are essential to “running a top-flight research organization where breakthrough discoveries and innovations provide continuous service to the nation.”
Senior Lecturer John Parsons speaks with CNN reporters Angela Dewan, Ella Nilsen and Lou Robinson about the future of Small Modular Reactors (SMRs) – nuclear technology that is smaller and less costly to build than traditional, large-scale reactors. “The target here is to produce electricity cheaper than coal and gas plants,” says Parsons. These fossil fuel plants “are terribly simple and cheap to run – they’re just dirty.”
New York Times opinion writer Peter Coy spotlights the MIT Shaping the Future of Work Initiative, a new effort aimed at analyzing the forces that are eroding job quality for non-college workers and identifying ways to move the economy onto a more equitable trajectory. Nothing is “inexorable,” said Prof. Daron Acemoglu during the project’s kickoff event. “The answer in most cases is, AI will do whatever we choose it to do.”
Writing for The Hill, Prof. Arnold Barnett examines the safety of passenger flights. “The safety of flying in countries like the U.S. is the eighth wonder of the world,” notes Barnett. “Far from being nervous as we approach the airport, we should be awestruck that flying is so free of risk — and deeply grateful to those who have made it so.”
Wall Street Journal reporter Lindsey Choo spotlights Principal Research Scientist Matthias Winkenbach and his work developing an AI model to help delivery drivers find the best routes. The model would “take into consideration complex real-world constraints,” such as allowing drivers to, “choose a route that may not be the shortest but allows them to park more conveniently or unload packages in safer spaces,” writes Choo.
The Economist spotlights new research by Prof. Ivan Werning suggesting a refined economic model to address the post-pandemic economy. Werning’s model adjusts “not just to a shift in demand from services to goods, but to supply-chain disruption, energy shocks and employees in some sectors working from home,” explains The Economist. “As such, inflation moved through the economy in waves, starting in select goods then spreading out.”
Writing for The Boston Globe, Prof. Gang Chen emphasizes the harm caused by the “China Initiative.” Chen notes that “some initiatives by the government, such as the China Initiative and the National Institutes of Health’s investigation into academics’ collaborations with China, weaken rather than strengthen US national security. American scientific prowess has been built on the United States’ ability to attract the best and the brightest minds from around the world.” He adds that the China Initiative has been deterring scientists from pursuing their research and careers in the United States.”
Writing for The Hill, Principal Research Scientist Randolph Kirchain and Research Scientist Hessam Azarijafari address how the condition of the nation’s road system impacts transportation emissions. “Investing in a higher-performance road system is a lever within state control that will improve the efficiency and carbon emissions of all vehicles, regardless of how each is powered,” write Kirchain and Azarijafari. “Smoother, stiffer roads allow cars to travel along it more efficiently. Every time a car tire traverses a bump, crack, or pothole, energy is wasted.”
Prof. Florian Berg speaks with Fortune reporter Paolo Confino about the future of ESG initiatives. “The problem is that companies and also investors are often not really honest about their intentions,” Berg says. “They might actually sell something that’s purely a profit-driven decision and then write it in a report as they’re doing a lot for society even though they’re just engaging in profit maximization.”
Prof. David Autor speaks with Bloomberg about the future of generative AI and the technology’s potential impact on productivity and the labor market. “When we interact with AI, we need to learn how to treat it not as authoritative, but as a guide to support decision making, and that’s really critical,” says Autor.
The Economist spotlights the life of Prof. Emeritus Robert M. Solow, a Nobel laureate whose work in growth theory “added both to national spending and the economy’s productive capacity.” The Economist notes that: “the MIT culture he embodied disdained hierarchy, cherished collegial lunches and made time for students, many of whom became illustrious friends.”
Researchers at MIT and elsewhere developed an artificial intelligence predictive model that can be used to detect which strains of Covid-19 could become dominant and lead to a new wave of illness, reports Ruth Reader, Carmen Paun, Daniel Payne and Eric Schumaker for Politico. The model, “found three strong predictors of a dominant variant: the number of infections a strain causes in its first week relative to the number of times it appears in sequencing, the number of mutations in the spike protein, and the number of weeks since the current dominant variant began circulating,” they note.