Avantika Chilkoti of The New York Times assesses news coverage of the health care debate using Media Cloud, a platform that tracks online stories developed in part by researchers from the MIT Center for Civic Media. Since May, news about Russia and former FBI director James Comey “outstripped coverage of the health care bill on 30 of 67 days,” writes Chilkoti.
UPI reporter Amy Wallace writes that MIT researchers have applied a computer vision system to help quantify the physical improvement of American neighborhoods. The researchers found that “density of highly educated residents, proximity to central business districts and other attractive areas, and the initial safety score assigned by the computer system are strongly related to improvements.”
Wall Street Journal reporter Jason Bordoff writes that MIT researchers have produced a map of the Nairobi bus system using GPS data collected from riders’ mobile phones. “With these networks now mapped, users can access the system more easily and efficiently, and local officials can plan bus and train routes around it,” writes Bordoff.
Prof. Jeff Gore has developed a new technique to help predict the collapse of some ecosystems, writes Gabriel Popkin for Science. Gores hopes the method could be used, “in fisheries where protected areas abut heavily fished ones: If the method works, he hopes fishery managers can use it to set catch limits to avoid a collapse.”
Prof. Marta González writes for Salon about her research showing drivers typically do not choose the optimal route that minimizes travel time. She explains her findings can be used to “design incentive mechanisms to alleviate congestion on busier roads, or carpooling plans based on individuals’ preferred routes.”
Writing for The Guardian, Zofia Niemtus highlights iSpots, a program developed by Prof. Carlo Ratti that uses WiFi to track which spaces are being used at MIT. “Understanding occupancy can help us to use space in a more efficient way – and also improve interaction among the campus community,” Ratti says.
A report released by MIT startup Cambridge Mobile Telematics (CMT) shows that one in four drivers were using a smartphone just before an accident occurred, reports The Boston Globe’s Matt Rocheleau. Prof. Samuel Madden, founder and chief scientist at CMT, explains that the study shows “people are using their phones a lot, and that’s playing a role in the accidents.”
Prof. Sertac Karaman and postdoc Lex Fridman speak with Boston Globe columnist Scott Kirsner about why companies developing self-driving cars should share data. Kirsner writes that Fridman explains it would be “‘extremely useful’ to create some kind of database where manufacturers could deposit — or withdraw — models and strategies that would make their vehicles safer.”
Graduate student Maimuna Majumder writes for NPR about her research examining what caused an outbreak of the mumps in Arkansas in 2016. Majumder writes that her research shows, “why herd immunity is so important. When we vaccinate, we protect not only ourselves but the most vulnerable members of our communities, too.”
Patrick Rishe of Forbes writes about the 2017 MIT Sloan Sports Analytics Conference. Rishe notes that the conference’s “combination of knowledge, presentations, and networking opportunities is off-the-charts, and a must for programs who wish to be taken seriously in the Sports Business space.”
Quentin Palfrey, executive director of J-PAL North America, speaks with Devin Thorpe of Forbes about how J-PAL aims to reduce poverty through academic research. Palfrey explains that “by transforming government and building a movement for evidence-based policy, we can help lift millions in the United States out of poverty.”
Nima, a startup founded by alumni Shireen Yates and Scott Sundvor, has been named to CNBC’s list of 25 promising start-ups for its portable food allergy detector, reports Ashley McHugh-Chiappone. “I just wanted a quick, easy way to test a piece of the dish and see for myself if it was gluten-free," says Yates of her inspiration for the device.
BBC reporter Lorelei Mihala highlights DriveWell, an app developed by Profs. Hari Balakrishnan and Sam Madden, aimed at addressing the problem of distracted driving. “We wanted to show that smartphones could be used to make drivers better,” says Balakrishnan.
Inside Higher Ed reporter Colleen Flaherty reports on a study by MIT researchers on a data-driven model aimed at providing predictions of faculty research success. The study suggests that “operations research scholars recommended for tenure by the new model had better future research records, on average, than those granted tenure by the tenure committees at top institutions.”
MIT researchers have developed a technique to make big data more manageable, writes Kevin Murnane for Forbes. The technique creates "coresets" that can be used by data analysis tools “often applied in computer vision, natural language processing, neuroscience, weather prediction, recommendation systems and more.”