Goergen Institute for Data Science provides new opportunities for collaboration
Launched in 2016, the institute serves as a hub, bringing together researchers in fields such as public health and political science, with experts in machine learning and data mining.
Wegmans Hall opens doors to data science
Dedicated during Meliora Weekend last fall, Wegmans Hall will open for researchers this year and will become the home to the Goergen Institute for Data Science.
Using data science to understand global climate systems
Climate scientists and computer scientists are working together to understand what drives the global climate system—from deep in the ocean to high in the sky.
Big library, big data
“Libraries have been managing data for centuries,” says Marcy Strong, head of metadata service at River Campus Libraries. And in the new field of data science, practitioners will rely on work University librarians have long done.
Student work earns national praise in data science competition
A computer model to help clinicians predict Parkinson’s disease progression has landed two Rochester undergraduates and their faculty mentor a top honor from the Michael J. Fox Foundation.
Career Center using data to connect students, employers
By tracking data on job placement, salaries, and location, students can “go online and see that, just because you have an English degree or a psychology degree, it doesn’t mean you have to work for a certain company.”
Skin sensors provide wealth of patient data
In one current clinical trial, biosensors worn by patients with Parkinson’s and Huntington’s disease generate 25 million measurements over a two-day period.
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.