An MIT Media Lab team led by Ariel Ekblaw, director of the Space Exploration Initiative, has developed a robotic swarm of self-assembling robotic tiles that could be used for future in-orbit construction, reports Eric Mack for CNET. “If all goes well, MIT and [Ariel] Ekblaw hope that the technology will eventually be used for geodesic dome habitats beyond Earth, microgravity concert halls and space cathedrals,” writes Mack.
Prof. Alison Wendlandt speaks with Univ. of Michigan graduate student and C&EN guest writer Bec Roland about her journey to leading her own research lab and how being queer has been integral to that journey. “I think being different, whatever that means – in my case, being LGBTQ – has been like a superpower,” says Wendlandt. “It’s granted me the opportunity to reflect on my interests, my desires, and my life. It’s allowed me to pursue a career that’s very honest to my own needs.”
Prof. Joshua Angrist speaks with Steven D. Levitt about natural experiments, the Talmud, and his path to winning the 2021 Nobel Prize in Economics on the Freakonomics Radio Network's podcast, People I (Mostly) Admire. “Natural experiments started to attract people like me, partly because it was interesting and fun, and we had the opportunity to actually say something concrete about the world,” said Angrist.
Prof. Peter Dedon discusses his research investigating how scientists can make new antibiotics by inserting “engineered genes into spots along the bacterial genome that optimize protein production,” writes Carrie Arnold for Scientific American. “There’s great potential there,” Dedon says. “There’s a whole new world of antibiotic targets.”
TechCrunch reporter Brian Heater spotlights new MIT robotics research, including a team of CSAIL researchers “working on a system that utilizes a robotic arm to help people get dressed.” Heater notes that the “issue is one of robotic vision — specifically finding a method to give the system a better view of the human arm it’s working to dress.”
Newsha Ghaeli ’17 - president and co-founder of Biobot, a public health research, data and analytics firms that has developed and promoted wastewater surveillance technology - speaks with Vox reporter Muizz Akhtar about how wastewater surveillance can be used to predict and prepare for future pandemics. “Our vision is that this is a permanent infrastructure layer on our sewer systems, so that it becomes one of the core kinds of pandemic preparedness in this country and disease surveillance globally,” says Ghaeli.
STAT reporter Katie Palmer spotlights Principal Research Scientist Leo Anthony Celi’s research underscoring the importance of improving the diversity of datasets used to design and test clinical AI systems. “The biggest concern now is that the algorithms that we’re building are only going to benefit the population that’s contributing to the dataset,” says Celi. “And none of that will have any value to those who carry the biggest burden of disease in this country, or in the world.”
MIT researchers and two high school seniors have developed DualFair, a new technique for removing bias from a mortgage lending dataset, reports Hiawatha Bray for The Boston Globe. “When a mortgage-lending AI was trained using DualFair and tested on real-world mortgage data from seven US states,” writes Bray, “the system was less likely to reject applications of otherwise qualified borrowers because of their race, sex, or ethnicity.”
Prof. Jessika Trancik speaks with Wall Street Journal reporter Nidhi Subbaraman about the dramatic drops in costs to manufacture and sell renewable technologies. Subbaraman notes that Trancik’s research shows that “the steep drop in solar and lithium-ion battery technology was enabled by market expansion policies as well as investment in research and development by governments and the private sector.”
The MIT AI Hardware Program seeks to bring together researchers from academia and industry to “examine each step of designing and manufacturing the hardware behind AI-powered technologies,” reports Emily Bamforth for EdScoop. “This program is about accelerating the development of new hardware to implement AI algorithms so we can do justice to the capabilities that computer scientists are developing,” explains Prof. Jesús del Alamo.
Using cellulose nanocrystals found in trees, MIT researchers have developed a new material that is both tough and strong, reports Kathryn Hulick for Science News for Students. Abhinav Rao PhD ’18 explains that he was inspired to create the material “by looking at what nature has to teach us.”
A study conducted by Prof. Susan Solomon and her colleagues has found that unlike CFCs, smoke destroys the ozone in a more roundabout way, creating concerns due to the impact of the Australian bushfires of 2019-2020, reports Krystal Vasquez for EOS. “Because of the sheer scale of the event [the Australian bushfires] massive amounts of smoke penetrated the normally pristine upper stratosphere,” writes Vasquez.
MIT researchers have found five main predictors of attrition: toxic work culture, job insecurity, stressing innovation, not being recognized for performance, and poor response to Covid-19, reports Meghan M. Biro for Forbes. “Everything boils down to valuing your people – and possibly undertaking a bout of serious self-assessment,” writes Biro.
New research by Professor Erik Demaine, lecturer Zachary Abel, robotics engineer Martin Demaine and their colleagues explores whether it is possible to “take any polyhedral (or flat-sided) shape that’s finite (like a cube, rather than a sphere or the endless plane) and fold it flat using creases," writes Rachel Crowell for Quanta Magazine. “By moving finite to infinite ‘conceptual’ slices, they created a procedure that, taken to its mathematical extreme, produced the flattened object they were looking for,” Crowell explains.
Researchers from MIT and other institutions have developed a new simulation that illuminates how stars formed in the early universe, reports Martin Finucane for The Boston Globe. “It was a neutral, dark cosmos that became bright and ionized as light began to emerge from the first galaxies,” explains Aaron Smith, a NASA Einstein Fellow in MIT’s Kavli Institute for Astrophysics and Space Research.