Prof. Daniel Jackson, MIT student Haley Cope and alumna Caterina Colon discuss the book “Portraits of Resilience” on Greater Boston with Jim Braude. According to Jackson, the hope is that by compiling the students’ stories and photographs into a book “people who were suffering could read these stories, look at these faces, and realize they were not alone.”
Jeffrey Brown of PBS Newshour sits down with Prof. Daniel Jackson and students to discuss “Portraits of Resilience,” a collection of portraits and essays about individual experiences with mental health issues. “I hoped to capture the personality and charisma of the person that I was interviewing, the strength and the vulnerability,” says Jackson.
Sloan graduate student George Ward writes for WBUR’s Common Health about the decline in America’s “happiness” quotient since the UN began reporting data in 2012. He highlights research from the new book he co-authored, “The Origins of Happiness: The Science of Well-Being Over the Life Course,” which “provides a systematic account of what makes for a satisfying life.”
Prof. John Gabrieli writes about new research that uses brain scans to predict who will be receptive to certain therapies for mental illness. "Brain scans to tailor treatments embody a new form of personalized medicine, an approach that often relies on customizing therapies based on an individual's genetics," Gabrieli writes for Scientific American.
Times Higher Ed reporter Matthew Reisz highlights Prof. Daniel Jackson’s book, “Portraits of Resilience.” Reisz writes that, “MIT and its press are to be congratulated on a book – given out free to all this year’s new students – that not only addresses head on the issue of mental health within higher education but is so frank about how this plays out within its own institution.”
A new study by MIT researchers shows how stress can lead people to make risky decisions, reports Kristin Hugo for Newsweek. “The study lends insights into how neurological disorders affect people. It could be the stress of dealing with inabilities to function properly and staving off cravings, compounded with the chemical effects on the brain, that are influencing people’s uninhibited behavior.”
In an article for Scientific American about the future of robotics, Prof. Emeritus Rodney Brooks highlights Prof. Dina Katabi’s work developing devices that use wireless signals to detect a person’s emotions.
Boston Magazine reporter Jamie Ducharme writes that CSAIL researchers have developed a device that can measure walking speed using wireless signals. The device can “also measure stride length, which may come in handy when studying conditions that are characterized by small steps, such as Parkinson’s disease.”
Daniel Akst of The Wall Street Journal writes about the wearable device developed by CSAIL researchers that can detect the emotional tone of a conversation. The researchers “are pushing the boundaries by training a computer to take account of such a wide range of factors in making judgments about emotion,” writes Akst.
Science Friday reporter Ira Flatow and Motherboard reporter Daniel Oberhaus discuss a wearable device developed by CSAIL researchers that can detect the emotional tone of a conversation. Oberhaus explains that the researchers hope the device could one day be “applied with much finer emotional granularity, to the point where you can tell if the story was exciting or funny.”
CSAIL researchers Tuka Al-Hanai and Mohammad Ghassemi speak to the BBC’s Gareth Mitchell about their system that can detect the tone of a conversation. Ghassemi explains that this research will provide “the first steps toward feedback,” for people who struggle to read social cues.
CSAIL researchers have developed a wearable AI system that allows users to detect the tone of a conversation in real-time, reports Janet Burns for Forbes. Using two algorithms to analyze data, the researchers were able to “classify each five-second chunk of conversation as positive, neutral, or negative,” explains Burns.
Dan Misener of CBC News writes that a wearable device developed by MIT researchers detects the tone of conversation by listening to the interaction and measuring the physiological responses of the user. “All of that data is fed into a neural network that's been trained to identify certain cues,” explains Misener.
MIT researchers have developed a new drug capsule that can deliver doses of medication over the course of several weeks, reports Robby Berman for Slate. Berman explains that the star-shaped device is like “a little pharmacy stationed in the stomach, ready to dispense doses at the desired times.”
CSAIL researchers have developed a wearable system that can gauge the tone of a conversation based on a person’s speech patterns and vitals with 83 percent accuracy, writes Brian Barrett for Wired. The system could be useful for people with social anxiety or Asperger’s, Barrett explains.