BetaBoston reporter Nidhi Subbaraman writes about how graduate student Steven Keating's thirst for knowledge may have saved his life. After experiencing phantom odors, Keating urged his doctors to perform a brain scan, which revealed a tumor. Since then, Keating has “open-sourced” his illness, and become a “champion of a movement to provide patients with more information about their health.”
Steve Lohr of The New York Times writes about how allowing patients like brain cancer survivor and MIT graduate student Steven Keating greater access to their medical records can not only improve patient health, but also benefit medical research. The sharing of medical records could be a “huge crowdsourcing opportunity for research,” Keating explains.
Kevin McSpadden of Time reports on Panoply, a social networking platform developed by researchers from MIT and Northwestern that is aimed at helping users deal with anxiety and depression. Panoply teaches “users a therapeutic tool called cognitive reappraisal, which tries to get people to look at a problematic situation from different perspectives.”
In a New York Times article, Steve Lohr spotlights how graduate student Steven Keating’s active participation in his medical care led to early detection of a brain tumor. In describing patient access to medical records, Keating explains his belief that “data can heal.”
Nidhi Subbaraman of BetaBoston writes about a new online networking tool developed by MIT researchers that has been found to be effective in helping people cope with anxiety and depression. Researchers found that those who used the tool were “writing about their issues much more."
Researchers from MIT and Northwestern have developed an online networking tool aimed at aiding people with anxiety and depression, reports Katie Collins for Wired. The tool, “allows people to build online support communities and practice therapeutic techniques among one another.”
Karen Weintraub writes for The Boston Globe about Professor Temple Grandin’s talk at MIT about coping with stress. Grandin, who has autism, “said her anxiety has been transformed into hyper-vigilance. She’s aware of every little movement the airplane she’s riding on makes, but isn’t worried that the plane might crash,” Weintraub explains.
BBC News reports on the “FingerSynth,” a glove created by graduate student Gershon Dublon “that allows you to hear the sounds of objects through touch.” The device allows the wearer to explore the resonance of different physical objects.
In a TED talk, Prof. Kevin Slavin speaks about the potential dangers surrounding the growing influence of computer algorithms in finance, and the physical environment. “We’ve lost the sense of what’s actually happening in this world that we’ve made,” says Slavin.
Liz Stinson writes for Wired about Cord UIs, a project by graduate students Phillip Schoessler and Sang-won Leigh that transforms electrical cables into responsive interfaces that can influence the output of the devices they are attached to. “Cord UIs does accomplish what the Tangible Media Group is all about: Giving invisible data a physical presence,” Stinson explains.
GIFGIF, a project by graduate students Kevin Hu and Travis Rich, maps human emotions by asking people to select which GIFS best represent a specific feeling, reports Jon Christian for Wired. Hu and Rich hope that all of the data collected through GIFGIF “will make it easier to write programs that deal with emotional content.”
Peter Shadbolt of CNN reports that MIT researchers have incorporated social networking into clothing, creating a T-shirt that displays the wearer's interests and associations. "We wanted to examine more tangible ways of representing ourselves in social media," explains graduate student Viirj Kan.
Graduate student Greg Borenstein speaks with BBC News about his efforts to make chess more appealing as a spectator sport. “There’s really something magical about the ability to use computation and statistics to take that drama and that excitement and those brilliant moments and make them visible,” Borenstein explains.
A new study by MIT scientists has found that metadata provides enough information to identify consumers in anonymous data sets. Aviva Rutkin writes for New Scientist that “for 90 per cent of people, just four pieces of information about where they had gone on what day was enough to pick out which card record was theirs.”
In this video, Robert Lee Hotz of The Wall Street Journal discusses how MIT researchers have found that individuals in an anonymous data set can be identified using just a few pieces of information about their shopping habits. “We're really being shadowed by our credit cards,” Lee Hotz explains.