February 14, 2020
MIT researchers have identified security flaws in a mobile voting application that allowed some overseas and military citizens to vote remotely, reports Lydia Emmanouilidou for PRI’s The World. “When things are opaque — when you can't verify, when you can't see what the code is doing,” says graduate student Michael Specter, “there is no way of vetting that it's doing the right thing.”
Washington Post reporter Cat Zakrzewski spotlights how MIT researchers are developing a system that uses smartphone Bluetooth signals to track the spread of Covid-19 while protecting privacy. “Our effort is designed to show that there is a privacy preserving way of doing this kind of automated contact tracing,” explains Principal Research Scientist Daniel Weitzner.
Researchers from MIT, MGH and other institutions are developing a system that automates contact tracing for Covid-19 using smartphone Bluetooth signals while preserving user privacy, reports Zeninjor Enwemeka for WBUR. "It's got to be part of a public health strategy," says Principal Research Scientist Daniel Weitzner of the system. "We're developing this as a tool that we hope can be useful to that process."
Fast Company reporter Katharine Schwab writes that researchers from MIT are building a system that uses random identifiers emitted by smartphone Bluetooth signals to help track the spread of Covid-19. “Instead of an eye in the sky that watches everybody, we want to have the phones that people are carrying around tell how close they’ve been to other people,” says Prof. Ron Rivest.
A new contact tracing method developed by MIT researchers uses Bluetooth signals emitted by smartphones to trace the spread of Covid-19 while maintaining privacy, reports Darrell Etherington for TechCrunch. Etherington notes that, “MIT’s system sidesteps entirely many of the thorniest privacy-related issues around contact tracing.”
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."
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.”