2016 News Archive
Round table explores opportunities for data science collaboration
A data science round table brought representatives from a dozen industries to the University of Rochester last week to explore opportunities for collaboration. Much of the discussion involved how cooperation between industry and the University could help address such issues as soaring health care costs, the challenges involved in sharing data, and finding ways to retain graduates with computational skills in upstate New York.
Digital public health presents opportunities, challenges
Two researchers recently visited the University of Rochester to make the case for harnessing big data mined from social media to aid public and environmental health efforts. King-wa Fu and Matthew R. Auer presented their insights during a seminar sponsored by the Center for Energy and Environment and the Goergen Institute for Data Science.
Three health analytics projects receive pilot funding
Three teams of researchers from the University of Rochester are recipients of pilot funding from the University’s Goergen Institute for Data Science. The institute has identified health analytics — leveraging large sets of clinical, genomic, and lifestyle data to predict individual health outcomes — as one of its top priorities.
Ehsan Hoque: MIT Technology Review ‘Innovator under 35’
This is your brain on sentences
Researchers, including CoE Distinguished Researcher, Rajeev Raizada, at the University of Rochester have, for the first time, decoded and predicted the brain activity patterns of word meanings within sentences, and successfully predicted what the brain patterns would be for new sentences.
Cloud computing changes the way we practice public speaking
People often rank public speaking as the number one fear that they face. New cloud-based technology from researchers at the University of Rochester lets speakers polish and practice at home in front of their computer camera, while the analysis provides instant feedback about improvement.
Artificial Intelligence for Social Good Speakers
Urban Impact Through Social Entrepreneurship
Rochesters first data science graduates delve into big data
The inaugural crop of students in Rochester’s new data science programs are completing their first year of study. Some are completing their degrees, having finished a year of graduate study or having gotten started early by taking prerequisites for an undergraduate degree. Others are just beginning. But what unites them all is an enthusiasm for discovering ways to make the most of information.
Collaborative Pilot Award Program in Health Data Analytics: Request for Pilot Award Applications
The purpose of this initial Pilot Award Program by the Goergen Institute for Data Science is to promote new cross campus, multidisciplinary collaborations with a goal to utilize data to predict and improve health outcomes. Application deadline: June 7, 2016
DandyHacks 2016
Chief Scientist At 1-Page Reveals How To Get Started In Machine Learning
Professor at Carnegie Mellon University and Chief Scientist at 1-Page, Alex Smola, discusses the skills needed for a career in machine learning. The skills mentioned are incorporated into the University of Rochester's undergraduate and graduate degree in data science.
Two students receive Davis Projects for Peace grant
Data science major, Ian Manzi '18, and geology major, Derrick Murekezi '19, were selected to receive a $10,000 grant from Davis Projects for Peace, a highly competitive national program that promotes peace and intercultural understanding. The two will use the funding to implement their summer project, titled Critical Thinking for Peace: Sustaining Peace in Post-Conflict Regions, in Rwanda this July.
Can a computer tell if youre drinking while tweeting?
Parkinsons App Celebrates Milestone, Featured by Apple
University of Rochester studies drunk tweets
Twitter Facial Analysis Reveals Demographics of Presidential Campaign Followers
The University of Rochester's Yu Wang and his research team have analyzed the Twitter follower demographics of Donald Trump and Hillary Clinton. They study both candidates followers, their user names, geographical information and each followers number of followers to determine their influence.
Creating a Human "Check Engine Light"
Computer Science as Liberal Arts Enabler
Pic-scanning AI estimates city air pollution from mass of photos
Last year, UR's Jiebo Luo and his research group trained a neural network to sort photos taken at Beijing tourist attractions by haze levels.