Research

In a conversation with Slate’s Shirin Ali, Charles Stewart III director of MIT’s Election Data and Science Lab, discusses a framework to help voters “see important red flags in the hours immediately following Election Day,” detailed in his new paper “The Day After: Threats and Guardrails in the 2026 Election.” “After Election Day, that’s where we’re thinking about getting the final count in,” says Stewart. “We shift into the formal process of canvassing the vote, certifying it, and making sure that we’ve named the winners.”  

An analysis by Prof. Charles Stewart III, director of MIT’s Election Data and Science Lab, found that requests for mail-in ballots were down in Georgia, Maine, North Carolina, Pennsylvania and Wisconsin earlier this month, reports Patrick Marley, Leslie Shapiro and Laura Meckler for The Washington Post. “Those five states can be more fully analyzed than others because they provide data showing how voting patterns compare with the same stage of the election cycle in 2022,” note Marley, Shapiro and Meckler. “In data collected four weeks before Election Day, requests were down most sharply in Georgia — by 50 percent compared with the same point in 2022.” 

BIOSENTER, a soft, snake-like robot developed by MIT researchers, could autonomously snap photos, administer drugs, and take small biopsy samples within cramped and difficult to reach areas of the body such as the small intestine, writes Mack DeGeurin for Popular Science. “BIOSENTER has four inflatable chambers arranged along either side of its tubular body. These chambers inflate and deflate in alternating combinations, which is how it moves forewarn and bends to change directions,” explains DeGeurin. “Keeping with the snake theme, the robot’s exterior is fitted with a textured, scale-like coating that improves its traction.”  

MIT researchers have developed BIOSENTER, a soft robot inspired by the movement of snakes, “designed to navigate the twists and turns of the small intestine [that] could perform real-time imaging, deliver drugs, and take biopsies deep within the digestive tract,” reports Inside Precision Medicine. “The robot’s tube-like body contains four inflatable chambers that can expand or contract in different combinations, allowing the robot to move forward and bend in different directions. A hollow central channel allows the robot to carry endoscopic tools, including a camera for imaging, a fluid sprayer for drug delivery, and clips for collecting tissue samples or removing small polyps.” 

Undergraduate student Melody Chen, a former MIT Research Science Institute Scholar, has been named in the 2026 class of U.S. Presidential Scholars, writes Forbes’ Michael T. Nietzel. “This year’s group consists of 161 outstanding high school seniors, who were selected for their accomplishments in academics, the arts, and career and technical education fields as well as for commitments to community service and leadership,” notes Nietzel. “Being named a U.S. Presidential Scholar is considered one of the nation’s most prestigious academic awards for high school graduates.”  

A team of astronomers, including scientists from MIT, have developed Lumina, a complex computer simulation that “shows how the first galaxies, stars and other astral phenomena developed and evolved over the ensuing millennia,” reports Eric Lagatta for USA Today. “Lumina's simulations begin around 45 million years after the ‘Big Bang,’ when the universe is still ensconced in a cosmic dark age, as neutral hydrogen shrouded the universe, preventing light and other forms of radiation from traveling,” writes Lagatta. “The simulation covers a massive patch of the early universe, spanning about 1.6 billion light-years, as phenomena like dark matter, gas and stars form and grow.” 

MIT researchers have designed LUCID, a thin, flexible and implantable device “that pairs a slow-release drug reservoir with tiny ultrasound transducers, aiming to help prevent glioblastoma from coming back after surgery,” writes Munis Raza for Interesting Engineering. “The transducers generate ultrasound waves right at the tip of the needle, helping drug molecules diffuse farther into [brain] tissue after release,” notes Raza. “Doctors could implant the device during surgery and let it gradually release drugs to kill remaining tumor cells.” 

Prof. Eric Klopfer, co-chair of MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training, speaks with Newsweek’s Amanda Greenwood and Hollie Silverman about homework in an era of AI. “Students need experience to understand and regulate their AI behaviors,” says Klopfer. “They need to learn how it can augment, rather than replace, their learning, and decide how to use it.”  

Forbes reporter Marshall Shepherd highlights the Probabilistic Bias Correction tool, a new AI system developed by MIT researchers that could extend weather forecasting predictability beyond two weeks.  

Prof. Charles Stewart III, director of MIT’s Election Data and Science Lab, speaks to NPR’s “Morning Edition” about the surge in early voting among Americans in the midterm elections. The surge is reflecting “the enthusiasm of voters, but also, I think it has to be understood that a lot of this activity is also generated by the campaigns, getting out and motivating their voters to get to the polls or to return their mail-in-ballots,” says Stewart. “The political science research suggests that people who are voting early would have voted on Election Day had that mode not been available to them.” 

In an interview with The Boston Globe’s Rebecca Spiess, Prof. Eric So discusses how AI affects different areas of human cognition, as detailed in his new book “The Collision: What AI Does to Us.” “So many people these days are just really focused on the productivity benefits of AI and what it can do for us. I think what people really should be thinking about is what AI is doing to us in the immediate term,” says So. “AI is changing who we are as thinkers, right now, in our day-to-day lives; in classrooms; in households; in boardrooms across the globe.” 

Instead of giving AI agents a specific task, MIT researchers put 13 agents, named Eko, alone on a digital desert island for 30 hours, and witnessed the technology playing instead of simply wandering around, writes Fast Company’s Jude Cramer. “The researchers compared Eko’s behavior to common elements of play in animals, including humans,” notes Cramer. “These signs of play include creating their own rules, repeating behaviors with slight variations, setting goals for themselves, and transforming objects and events through make-believe.” 

After observing the behavior of 13 AI agents on a simulated desert island, MIT researchers suggest that allowing agents to explore “without a goal” could be an effective way to teach AI agents new skills, reports Aditya Mehta for TechCrunch. “We normally develop artificial agents by deciding in advance what they should practice, what they should optimize, and what counts as progress,” the researchers write. “Play suggests another regime: give an agent a sufficiently rich and safe world, let it choose what is interesting, and allow useful knowledge to accumulate from the history that follows.” 

Postdoctoral Associate Iman YeckehZaare speaks to El País reporter Jordi Pérez Colomé about his research on RentAHuman, a platform that allows AI agents to hire people to do physical labor. “RentAHuman has shown that many people are willing to sign up to be hired by AI agents. What it still hasn’t shown is that many AI agents are doing the hiring,” says YeckehZaare. “Listings posted by agents will increase as AI agents become capable of acting and paying on their own.”  

Prof. Charles Stewart III, director of MIT’s Election Data and Science Lab, speaks with Craig LeMoult during GBH’s “Morning Edition” about the electoral environment in Massachusetts. “I am somebody who thinks that activists tend to overestimate the importance and the effects of voting reforms,” says Stewart. “But having said that, I think that Massachusetts needs something to shake it up from the current electoral environment that it has.”