Imagine you’re at the CDC, and you’re trying to predict and respond to this year’s flu season in real-time. You could either contact millions of Americans — or let them contact you via Twitter. In an exciting paper titled “A Model for Mining Public Health Topics from Twitter” posted this week, Johns Hopkins University Assistant Professor Mark Dredze and second-year graduate student Michael Paul demonstrate a way to affordably gather real-time data about our health issues. Not only did the pair’s data support similar efforts, like Google’s Flu Tracker, it also generated new knowledge, according to the BBC: It provided an insight into how Twitter users viewed a range of illnesses […]
Computing Community Consortium Blog
The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.
Archive for July 17th, 2011
