Wall Street Journal reporter Agam Shah spotlights the MIT Covid-19 Challenge’s Beat the Pandemic virtual hackathon, which brought together 1,500 participants working in 238 teams. During the hackathon, MIT provided participants with “access to open data sets including JHU’s epidemiological data repository and Covid-19 information compiled by the World Health Organization and the European Centre for Disease Control and Prevention.”
Whitney Zhang of The Tech writes about newly established MIT EMS practices in response to Covid-19. In addition to updated PPE protocols and working on smaller crews, MIT EMS is prepared to assist Cambridge’s Pro EMS and the Boston Area Ambulance Mutual Aid Network to “substantially help out with the effort,” says Suzanne Blake, MIT Emergency Management director.
CNET reporter Stephen Shankland writes that MIT researchers are “developing a smartphone app they hope will tamp down the coronavirus pandemic without trampling on privacy.” Prof. Ron Rivest explains that, "the way to flatten the curve is to get people to be sequestered who have been exposed as quickly as you can. That means identifying people as quickly as you can."
CNBC reporter Riley de Leon writes that Prof. Feng Zhang and Pinterest CEO Ben Silbermann have launched a new app that allows people to report healthy symptoms and could help "researchers reveal outbreak hot spots and track the ongoing spread” of Covid-19."
Prof. Charles Stewart III speaks with New York Times reporters Stephanie Saul and Reid J. Epstein about the likelihood of fraud occurring with mail-in voting. “What we know can be boiled down to this: Voting fraud in the United States is rare, less rare is fraud using mail ballots,” says Stewart.
Wired reporter Andy Greenberg features Private Kit: Safe Paths, an app developed by MIT researchers that used GPS location data to help track the spread of Covid-19. Greenberg notes that the “next iteration of the app will build in the ability to sort all the recorded locations of any users diagnosed as Covid-19 positive into 'tiles' of a few square miles, and then cryptographically 'hash' each piece of location and time data.”
STAT reporter Casey Ross writes that MIT researchers are developing a contact tracing app that uses differential privacy to help protect the identity of users while tracking the spread of Covid-19. “The app could allow users to understand their exposure risks and help authorities identify emerging clusters and warn the public to avoid certain areas,” writes Ross.
A team of researchers from MIT, BioBot Analytics (an MIT startup), and other institutions found evidence in wastewater that were likely more people infected with Covid-19 than the reported cases in that area, reports Shraddha Chakradhar for STAT. Chakradhar notes that, “wastewater sampling could offer a community-level picture of how the disease has spread.”
A new study by MIT researchers found that 34% of respondents in the U.S. have switched to remote working during the Covid-19 pandemic, reports Jane Margolies for The New York Times. “The tools people found are working pretty well,” says Prof. Erik Brynjolfsson of the digital infrastructure for remote work.
Atlantic reporter Derek Thompson spotlight how Prof. Ramesh Raskar is developing a new app that “uses GPS to create maps showing the movements of people recently diagnosed with COVID-19.”
Wall Street Journal reporter Jeffrey Sparshott spotlights a working paper by Prof. Jeffrey Harris that outlines evidence the coronavirus curve is flattening in New York City. Three contributions include “officials providing ‘consistent, clear, accurate and timely information,’ which leads to changes in behavior without government coercion, mandatory stay-at-home orders, and the growing number of people who personally know someone diagnosed with Covid-19.”
Prof. Julie Shah writes for Harvard Business Review about how computer science can be applied to tackling the Covid-19 pandemic. “We believe the answer lies in computation,” writes Shah and her co-author Neel Shah. “We need to put as much data and computing power into the problem as we can, and now.”
Wall Street Journal reporter Mike Bird writes that a new paper by researchers from MIT and the Federal Reserve found that “during the 1918 flu pandemic in the U.S., cities with stricter lockdowns actually seemed to emerge with less-severe economic consequences.”
A team of MIT researchers won this year’s STAT Madness competition for their work developing a technology to detect tiny ovarian tumors, reports Elizabeth Cooney for STAT. Prof. Angela Belcher explains that her research group is developing imaging instruments to “see deep inside the body to find tiny tumors or early events in the disease process, which could help surgeons or physicians diagnose or intervene with treatment.”
ABC News contributor Dr. Nancy Anoruo spotlights BioBot, an MIT startup that uses wastewater to track the spread of disease. "We hope to use this kind of data to stop outbreaks before they reach epidemic levels so we will never find ourselves again in a situation like we are in today,” explains Prof. Eric Alm.