The Goergen Institute for Data Science builds on the University’s strengths, many of which are currently dispersed across many departments and divisions. While there are collaborations among research groups, there has not been an umbrella organization to bring them together—until now.
The University is focusing on three initial domains of data science research, Health Analytics, Cognitive Science and Artificial Intelligence, and Methods, Tools, and Infrastructure. Some of the researchers in each of these domains have been named as Distinguished Researchers by our New York State Center of Excellence in Data Science.
Using data to predict individual health outcomes (also known as health analytics) based on the basis of treatments, genomics, and lifestyle and behavioral factors may lead to some of the biggest advances in health care. The potential to truly impact individual and public health by using data science is huge, and it is why health analytics is a priority.
Data Science and the Fight Against Parkinson’s
A new mobile app allows patients with Parkinson’s disease to track their symptoms in real time and share this information with researchers.
Data Science, Global Public Health, and Chronic Disease
Using data to predict individual outcomes based on treatments, genomics, and lifestyle and behavioral factors may lead to some of the biggest advances in health care.
Data Science and Developmental Disorders
Using gene sequencing, researchers can try to understand the possible genetic causes of disorders like autism, epilepsy, and infantile spasms.
Home of internationally recognized research in cognitive science and artificial intelligence, Rochester is uniquely positioned to advance our understanding of how the brain makes sense of the world. Modeling and replicating human perception is one of the most ambitious and exciting domains in data science and Big Data. Computer scientists and cognitive scientists at the University of Rochester are using data science to help make the world a better, more connected, and healthier place.
Data Science and Public Speaking
Speaking in public is the top fear for many people. Now, researchers from the Human-Computer Interaction Group have developed an intelligent user interface that gives real-time feedback to the speaker.
Data Science and Food Safety
A new system could tell you how likely it is for you to become ill if you visit a particular restaurant by 'listening' to the tweets from other restaurant patrons.
Data Science and Emotion
Researchers have developed an innovative approach to turn any computer or smartphone with a camera into a personal mental health monitoring device.
Data Science and Robot Learning
The newly formed Robotics and Artificial Intelligence Laboratory, which develops robots that learn how to perform complex tasks robustly and efficiently.
One of the University of Rochester’s priorities within its data science initiative is to develop the computational methods, tools, and infrastructure that will drive discovery in science, business, medicine, the humanities, and virtually every other field. This computational framework will allow researchers to efficiently collect large amounts of data, manipulate it, and then surround it with the right computing resources and statistical expertise to make sense of it. The University is uniquely positioned for success due to having faculty members who can build the systems and others who can apply it to their fields of research.
Data Science and Business
After examining Twitter data from major U.S. airlines, Simon Business School researchers found that companies are more likely to engage with customers who have a high number of followers.
Data Science and Medicine
An app for parents of children with asthma will provide resources and support services tailored to each family’s circumstances and needs.
Data Science and Development
As eye trackers measure where infants focus their attention, researchers can analyzes this data to understand, predict, and even optimize learning environments.
Data Science and Smart Cities
“Smart cities” use data to inform urban development in low-cost ways that maximize the productivity and quality of life for its residents.