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.”
Prof. Tim Berners-Lee has created a new technology aimed at allowing people more control over their online data, reports the BBC News. Berners-Lee felt that the “current model of handing over lots of data to many different online services did not serve people well,” the BBC explains.
MIT researchers have developed neural networks that can recognize speech patterns that are indicative of depression, writes Anna Powers for Forbes. “Because the model is generalized and does not rely on specific questions to be asked,” explains Powers, “the hope is that this model can be implemented into mobile apps that will allow people to detect depression through natural conversation.”
MIT researchers have developed a model that can help detect depression by analyzing an individual’s speech patterns, reports Kaveh Waddell for Axios. Waddell explains that the researchers, “trained an AI system using 142 recorded conversations to assess whether a person is depressed and, if so, how severely.”
MIT researchers have developed a new system that can detect depression by examining a patient’s speech and writing, reports John Biggs for TechCrunch. Biggs writes that the system could “help real therapists find and isolate issues automatically versus the long process of analysis. It’s a fascinating step forward in mental health.”
Researchers from MIT and Harvard studied how climate change could affect food inspections, traffic accidents and police stops, and found that rising temperatures could reduce safety, reports Susan Scutti for CNN. Research scientist Nick Obradovich explains that he hopes the findings can be used to “adapt or to fix things that might go wrong under a changing climate."
Catalog, an MIT startup that creates systems to store data on synthetic DNA molecules, hopes to make a commercial DNA storage product in the next year, reports Hiawatha Bray for The Boston Globe. Using this new form of data storage, “can shrink down entire data centers into shoeboxes of DNA,” says former MIT postdoc and Catalog CEO Hyunjun Park.
Megan Molteni of Wired writes that data storage company, Catalog, an MIT spinout that is working on using DNA to store data. Molteni explains that at Catalog, “they’re building a machine that will write a terabyte of data a day, using 500 trillion molecules of DNA.”
Justin Chen of STAT writes that Biobot Analytics, which was founded by former MIT researchers, is measuring traces of drugs in sewers in an attempt to detect emerging public health threats. The technology could “first pinpoint communities that need interventions, like substance abuse programs, and later measure the success of those programs in lowering drug use,” explains Chen.
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.”
BBC reporter Dave Edmonds speaks to Prof. Esther Duflo, co-founder of J-PAL, about her use of field studies and randomized control trials to test the effectiveness of programs in developing countries. Duflo explains that by examining data from randomized control trials, “out of the noise emerges some kind of melody of the logic of behavior.”
Institute Prof. Sheila Widnall co-chaired a new report from the National Academies of Science, Engineering and Medicine, which examines the prevalence of sexual harassment in higher ed. The authors “call for a ‘systemwide change to the culture and climate in higher education’ in order to address the issue and prevent harassment,” report Ellie Kaufman and Evan Simko-Bednarski for CNN.
Data USA, a website built by Associate Prof. César Hidalgo in collaboration with Deloitte and Datawheel, provides prospective college students with comprehensive data on U.S. universities, revealing “metrics on topics like the most popular degrees, the breakdown of faculty by gender, the student loan default rate, and the amount of federal funding universities receive,” writes Katharine Schwab for Co.Design.
Writing for The Verge, Angela Chen highlights advances in AI that are allowing researchers to discover and understand new materials at a rapid pace. Chen cites a study co-authored by Assistant Prof. Elsa Olivetti, who “developed a machine-learning system that scans academic papers to figure out which ones include instructions for making certain materials.”
The Human Cell Atlas, compiled by researchers at the Broad Institute of MIT and Harvard, has released its first batch of data with details of 530,000 immune system cells, writes Jason Daley of Smithsonian. New computational methods “allowed scientists to tackle… about 100 times as many cells as most cell-sequencing experiments handle,” explains Daley.