Machine learning advances human-computer interaction
Machine learning provides computers with the ability to learn from labeled examples and observations of data. Researchers at Rochester are developing computer programs incorporating machine learning to teach robots and software to understand natural language and body language, make predictions from social media, and model human cognition.
The mysteries of music—and the key of data
Researchers at the University are at the cutting edge of the intersection of data science and music: developing databases to study music history, and creating algorithms to automatically identify a genre or singer.
QuadCast: ‘When you have big data, you can get very lost’
Student host Nick Bruno ’17 talks with Warner School of Education professors Kara Finnigan and Karen DeAngelis about the opportunities and challenges data science presents to K-12 education researchers.
Student athletes find big wins in big data
From field hockey to football, teams rely on statistics to evaluate players, opponents, and strategy. “What we have now is so much better than just a few years ago,” says men’s basketball coach Luke Flockerzi. “I can’t imagine what’s in store in the years ahead.”
GPS sensors give women’s soccer team analytic edge
Kim Stagg ’17 covers a lot of ground during each soccer team practice and game. Thanks to an innovative data science program, she and her coaches now know just how much. In fact, she left cleat marks on more than 90% of Fauver Stadium during last season’s closer against Emory. Stagg and her teammates wear GPS devices that track movement, heart rate, and exertion levels, helping her coaches know how much recovery time she might need to avoid injury.
Data science for a better planet
One of the first Rochester students to graduate with a BA in data science, Ulrik Soderstrom ’16, ’17 (MS) is combining his love of math and computers with a passion for environmental sustainability and renewables.
Millions of tweets are a gold mine for data mining
Researchers can track the flu, consumer preferences, and movie box office sales, all from the millions of tweets posted every day.
Twitter researchers offer clues for why Trump won
The more Donald Trump tweeted, the faster his following grew, even after he sparked controversies. This is among the many findings from an exhaustive 14-month study of each candidate’s tweets during the 2016 election by researchers Jiebo Luo and Yu Wang.
Research computer center offers boot camp for scholars of all ages
The University’s third annual “summer school” in big data gives everyone from undergraduates to tenured faculty a chance to learn how programming and data visualization could impact their research projects.
10 years later, ‘inconsequential’ tweets a boon for researchers
Twitter founder Jack Dorsey chose the name because “twitter” described “a short inconsequential burst of information.” And yet, the social network is anything but inconsequential in terms of data science research and its applications. Twitter, which went public on this date in 2006, is fertile ground for Rochester researchers interested in tracking everything from disease outbreaks to the dynamics of political campaigns and consumer preferences.