A new study by MIT researchers provides evidence that compiling massive anonymized datasets of people’s movement patterns can put their private data at risk, reports the Xinhua news agency. The researchers found “data containing ‘location stamps’ – information with geographical coordinates and time stamps – could be used to easily track the mobility trajectories of how people live and work.”
TIME reporter Precious Adesina writes that researchers from MIT’s Senseable City Lab have developed an algorithm that measures how many urban trees are seen from a pedestrian’s perspective. Prof. Carlo Ratti explains that in addition to lowering urban temperatures, increasing the number of trees in a city can be “extraordinary in terms of collective well-being.”
This Quartz video highlights how MIT researchers are developing a self-driving boat system that can navigate waterways and can transform into different structures to move cargo, trash or build a temporary bridge. “The boats find the best path between preprogrammed locations, while using GPS, laser sensors, and cameras to avoid hitting anything,” explains Michael Tabb.
In this video, Reuters reporter Matthew Stock explores how researchers at the MIT Senseable City Lab are using big data to help make crowded cities better places to live. Stock explains that researchers hope to use anonymous data to improve public infrastructure and living spaces to “make the metropolis fit for future generations.”
In an article for The Washington Post, Beth Simone Noveck highlights RiskMap, an open-source platform developed by researchers from MIT’s Urban Risk Lab that allows users to gather and access information about disaster areas. Noveck writes that “RiskMap is a paradigmatic example of collective intelligence.”
MIT alumna Kara Elliott-Ortega has been named Boston’s new chief of arts and culture, reports Don Aucoin for The Boston Globe. Elliott-Ortega, who received a master’s degree in city planning from MIT, explains that she feels the “arts aren’t just a stand-alone sector or area of work, but are a part of everything the city is doing.’’
Researchers from MIT’s Urban Risk Lab are collaborating with Portland State University and Portland General Electric on a new emergency preparedness project called PREPhub. The researchers are developing structures that will serve as public gathering places and will allow the public to access information and connect with family, friends and community members after a disaster, reports Mary Loos for KATU.
Using data from MIT’s Living Wage Calculator, CNBC "Make It" has mapped out the earnings needed for a single person to live comfortably in every state, reports Emmie Martin. The calculator, explains Martin, “takes into account factors such as child care and health insurance, in addition to food and other regular costs.”
Wired reporter Aarian Marshall highlights how MIT is launching a new undergraduate major that will combine computer science and urban planning. Prof. Eran Ben-Joseph explains that the motivation for the major is studying how, “you make a better connection between the training and computation, and what the implication of the work will be, for communities, for policies.”
NBC Mach reporter Tom Metcalfe writes that MIT researchers are developing autonomous boats that could be used to ferry goods and people and could help ease traffic congestion. “We believe that with fleets of very agile autonomous boats we can offload some street traffic onto the waterways,” explains Prof. Daniela Rus.
Wired reporter Jack Stewart highlights how MIT researchers have developed a 3-D printed autonomous boat that could be used to ferry goods or people. The boats could eventually, “use their onboard GPS sensors and inertial measurement units to precisely position themselves in packs, forming instant floating bridges, or stages, or platforms for pop-up food markets on the water.”
MIT researchers have developed an algorithm that can accurately determine how many taxis a city needs, providing a way to reduce the number of cars on the road, according to Xinhua. “Using the new algorithm, they found the fleet size of cab-hailing service in New York could be cut down by about 30 percent in an optimal scenario.”
Danny Crichton of TechCrunch highlights Media Lab researchers Kent Larson and John Clippinger, who are sorting socio-economic factors into datasets in order to create a model that can guide a community towards success. “Wouldn’t it be great to create an alternative where instead of optimizing for financial benefits, we could optimize for social benefits, and cultural benefits, and environmental benefits,” said Larson.
Mel King, who founded the Community Fellows Program in 1996, spoke to Crystal Haynes at Boston 25 News for a feature about his lifelong efforts to promote inclusion and equal access to technology. Haynes notes that King, a senior lecturer emeritus at MIT, “is credited with forming Boston into the city it is today; bringing groups separated by race, gender and sexuality together in a time when it was not only unexpected, but dangerous.”
Using recent analyses by Prof. Frank Levy, Eduardo Porter of The New York Times explores the notion that AI will eliminate jobs and negatively impact American politics. Prof. Daron Acemoglu suggests that with more employment options in large cities, the backlash “will be more muted than it was when trade took out the jobs of single-industry company towns.”