Research

Bloomberg reporter Chris Anstey spotlights a new study by MIT researchers that finds that during the Covid-19 pandemic people have been taking cues from their neighbors as to whether it is safe to resume social activities like dining in restaurants. “We felt that in [some] uncertain times, such information might be particularly valuable,” said Prof. Siqi Zheng. “If others think it’s safe to go out, then maybe I should feel safe. To be sure, we were also prepared for the opposite reaction, that people would hunker down and try to avoid crowds.”

Using machine learning techniques, MIT researchers have detected “X particles” produced by the Large Hadron Collider, reports Rahul Rao for Popular Science. “The results tell us more about an artifact from the very earliest ticks of history, writes Rao. “Quark-gluon plasma filled the universe in the first millionths of a second of its life, before what we recognize as matter—molecules, atoms, or even protons or neutrons—had formed.”

A team of scientists from MIT and Facebook have created a new object tagging system called InfraredTags, reports Charlotte Hu for Popular Science. “InfraredTags uses infrared light-based barcodes and QR codes that embedded permanently into the bodies of 3D printed objects,” reports Hu.  

TESS, a NASA mission led and operated by MIT, has discovered over 5,000 planets candidates outside of our solar system, reports Ed Browne for Newsweek. “This time last year, TESS had found just over 2,400 TOIs (TESS Objects of Interest),” says postdoctoral associate Michelle Kunimoto. “Today, TESS has reached more than twice that number – a huge testament to the mission and all the teams scouring the data for new planets.”

Scientists have discovered “X-particles” in the aftermath of collisions produced in the Large Hadron Collider, which could shed light on the structure of these elusive particles, reports Becky Ferreira for Vice. “X particles can yield broader insights about the type of environment that existed in those searing and turbulent moments after the Big Bang,” writes Ferreira.

The driverless car industry lacks a clear business model in comparison to its competitors, reports Patrick McGee for Financial Times. “Driverless does not mean humanless,” says research scientist Ashley Nunes. “Robotaxis replace one set of human costs, the human driver, with another, inefficiency.”

Forbes reporter Abdo Riani spotlights an MIT and Northwestern study that uncovered why startup founders should be more cautious when listening to customer feedback. In a “study of six years’ worth of transactional data of 130 thousand customers in large retail chains…[researchers] made an interesting discovery – about 25% of customers consistently buy products that end up failing within 3 years,” writes Riani.

The Economist highlights new work by MIT researchers investigating the impact of automation on the labor market. A study by graduate student Joonas Tuhkuri finds that at Finnish firms “adoption of advanced technologies led to increases in hiring.” Meanwhile a new book by Profs. David Autor, David Mindell and Elisabeth Reynolds concludes that “even if robots do not create widespread joblessness, they may have helped create an environment where the rewards are ‘skewed towards the top.’”

Researchers from MIT, Tripura University, and Vaisala Inc. concluded that the decline of aerosols in the atmosphere led to a reduction in lightning activity during the Covid-19 lockdown period, reports Alaa Elassar for CNN. “As countries around the world imposed quarantines, lockdown and curfews aimed at limiting the spread of Covid-19, air pollution levels fell drastically, thereby reducing the amount of aerosols released into the air,” writes Elassar.

A new study by MIT researchers provides evidence that babies and toddlers understand people have a close relationship if they are willing to share saliva via sharing food or kissing, reports Nell Greenfieldboyce for NPR. "From a really young age, without much experience at all with these things, infants are able to understand not only who is connected but how they are connected," says postdoc Ashley Thomas. "They are able to distinguish between different kinds of cooperative relationships."

Boston Globe reporter Pranshu Verma spotlights MIT startup Biobot Analytics, co-founded by Mariana Matus ’18 and Newsha Ghaeli ’17, for their work studying sewage data to better predict the spread of Covid-19 in communities. “For health officials, it [the data] confirms whether Covid spikes in the community are real, and not due to increased testing or other factors,” writes Verma. “Moreover, Covid levels in waste water are a leading indicator for new clinical cases, giving health officials a few days’ notice if they’ll see more sick patients showing symptoms.”

MIT scientists have discovered that infants use saliva sharing as a cue in distinguishing close relationships, reports Andrew Joseph for STAT. “Saliva-sharing interactions provide externally observable cues of thick relationships, and young humans can use these cues to make predictions about subsequent social interactions,” the researchers explain.

Science reporter Bridget Alex spotlights a new study by MIT researchers that finds children as young as 8-months-old can infer the social significance in swapping saliva with those they are closely bonded with. This is a “big step in this new science of what preverbal infants already know about human sociality,” explains Prof. Alan Fiske of the University of California, Los Angeles.

The Haystack Observatory will be hosting a virtual climate change forum on Jan. 27, featuring Haystack’s director Colin Lonsdale and research scientist Pedro Elosegui, reports John Laidler for The Boston Globe. “Lonsdale will provide general information about the work of Haystack and climate science,” writes Laidler. “Elosegui will discuss Haystack’s polar research, which includes studies of global climate and sea-level change.”

A new study by MIT researchers finds people are more likely to interact with a smart device if it demonstrates more humanlike attributes, reports Brian Heater for TechCrunch. The researchers found “users are more likely to engage with both the device — and each other — more when it exhibits some form of social cues,” writes Heater. “That can mean something as simple as the face/screen of the device rotating to meet the speaker’s gaze.”