Tag: data science
Ulrik Soderstrom ’16, ’17 (MS), has found myriad ways to apply his knowledge of data science and machine learning: everything from bringing solar energy to low-income communities, predicting weather patterns for farmers, modeling ocean wave patterns, and solving Sudoku puzzles. One of the first Rochester students to graduate with a BA in data science, he’s combining his love of math and computers with a passion for environmental sustainability and renewables.
Researchers can track the flu, consumer preferences, and movie box office sales, all from the millions of tweets posted every day.
Jiebo Luo and Yu Wang did not set out to predict who would win the 2016 U.S. presidential election. However, their exhaustive, 14-month study of each candidate’s Twitter followers offers some tantalizing clues as to why the race turned out the way it did: the more Donald Trump tweeted, the faster his following grew, even after he sparked controversies; and more of Hillary Clinton’s “un-followers” were women.
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.
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.
Can a computer make you a better public speaker? Researchers from the Rochester Human Computer Interaction group created a project that aims to do just that. T
This spring, the inaugural crop of students in Rochester’s new data science programs—at the undergraduate and master’s degree levels—are completing their first year of study at the Goergen Institute for Data Science, a program of the Schools of Arts & Sciences.
The mPower app gathers real-time data from Parkinson’s patients in an effort to understand how the disease affects daily life and allows patients to track their symptoms and treatments.