In the Media

Fast Company reporter Mark Wilson writes that a new study by researchers from MIT and Google finds that simple user experience interventions can help stop people from sharing misinformation on Covid-19. “Researchers introduced several different prompts through a simple popup window, all with a single goal: to get people to think about the accuracy of what they’re about to share,” writes Wilson. “When primed to consider a story’s accuracy, people were up to 20% less likely to share a piece of fake news.”

New York Times reporter Rachel E. Gross writes that a new study by researchers from MIT and Harvard finds that reports of declines in male fertility have likely been overstated.

In an article for Wired, Prof. Amy Moran-Thomas writes about racial bias in pulse oximeters, noting that oximeters designed to work equitably existed in the 70s. “As part of AI’s growing role in health care, a wide range of noninvasive sensors are being developed with the pulse oximeter as their model,” writes Moran-Thomas. “Without care, a coming generation of optical color sensors could easily reproduce the unequal errors for which pulse oximetry is now known across many other areas of medicine.”

UPI reporter Brooks Hays writes that researchers from MIT and other institutions have developed a programmable digital fiber that can capture, store and analyze data. The technology could “be paired with machine learning algorithms and used to make smart fabrics to record health data and aid medical diagnosis,” writes Hays.

An electric, autonomous boat developed by MIT researchers is being tested in the canals of Amsterdam as part of an effort to ease traffic, reports Aleksandar Furtula and Mike Corder for the AP. The Roboat project is aimed at developing “new ways of navigating the world’s waterways without a human hand at the wheel,” write Furtula and Corder. “The vessels are modular so they can be easily adapted for different purposes, carrying cargo or workers.”

Mashable spotlights Strolling Cities, a video project from the MIT-IBM Watson AI Lab, which uses AI to allow users to imagine what different words would like as a location. “Unlike other image-generating AI systems, Strolling Cities creates fictional cities every time,” Mashable notes.

The MIT List Visual Arts Center is presenting a series of remote artist-designed walks and experiences, aimed at helping people re-engage with their world and environment, which can be enjoyed anywhere, reports Cate McQuaid for The Boston Globe. “Artists can be pivotal in bringing us to re-engage with the world around us,” says List curator Natalie Bell.

Prof. Pierre Azoulay speaks with Forbes reporter Amy Feldman about his research showing that restrictive immigration policies are bad for U.S. entrepreneurship. “You have to think about those folks who didn’t get a visa to study in the U.S. and therefore won’t be in a situation to found a company later on,” says Azoulay.

As the curator of this year’s Venice Architecture Biennale, Hashim Sarkis, dean of the School of Architecture and Planning, addressed how we can live together and how architecture is responding to longstanding global issues that contributed to Covid-19’s global spread, from climate change and migration to political polarization and inequality, reports Elisabetta Povoledo for The New York Times. “The pandemic will hopefully go away,” said Sarkis. “But unless we address these causes, we will not be able to move forward.”

Prof. Eric Lander will be sworn into his new post as director of the White House Office of Science and Technology Policy on a 500-year-old Jewish text, reports Jack Jenkins for The Washington Post. The question of what book to use for the swearing-in ceremony made him think of the choice as “a statement of what’s in my mind and what’s in my heart.”

Boston Globe reporter Noah Schaffer spotlights “Subject to Change,” a program on WMBR that explores the evolution of a single song. The show’s host, Patrick Bryant, “usually starts with the original before showing how the song changes when interpreted by jazz improvisers, pop crooners, bluegrass pickers, indie rockers, or how it sounds in foreign tongues or when sampled for a hip-hop track,” writes Schaffer. “A reggae version is seemingly inevitable.”

A recent review by MIT researchers finds that “only about 23% of machine learning studies in health care used multiple datasets to establish their results, compared to 80% in the adjacent field of computer vision, and 58% in natural language processing,” writes Casey Ross for STAT. “If the performance results are not reproduced in clinical care to the standard that was used during [a study], then we risk approving algorithms that we can’t trust,” says graduate student Matthew McDermott. “They may actually end up worsening patient care.”

Prof. Ronald Prinn writes for The Hill about the urgent need for countries to reduce greenhouse gas emissions to help reduce global temperature increases. Lowering “transition risks toward net-zero-emissions economies will involve integration of both physical and transitional components, a process that requires new and improved models and frameworks,” writes Prinn. “The goal is to empower decision-makers in government and industry to lower the transition risks as an integral companion to mitigation strategies.”

Writing for The Boston Globe, Sloan Prof. Erin Kelly and University of Minnesota Prof. Phyllis Moen explore how to create an effect hybrid workplace. “Our hope is that after this past year’s normalization of remote work, more organizations will stop rewarding face time in favor of a future where a variety of work patterns are recognized as productive and welcome,” they write.

Fast Company reporter Mark Wilson spotlights Strolling Cities, a new AI video project developed by researchers from the MIT-IBM Watson AI Lab, which recreates the streets of Italy based on millions of photos and words. “I decided that the beauty and sentiment, the social, historical, and psychological contents of my memories of Italy could become an artistic project, probably a form of emotional consolation,” says Mauro Martino of the MIT-IBM Watson AI Lab. “Something beautiful always comes out of nostalgia.”