University of Rochester Goergen Institute for Data Science

Research

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.

The Goergen Institute for Data Science is now offering a Collaborative Pilot Award Program in Health Data Analytics. 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.  These areas were recently explored during the University of Rochester Health Data Retreat on March 4th and this pilot program is designed to address some of the opportunities and challenges identified during that internal retreat. All applications are due May 31, 2016. Please click here for more information.

Health Analytics

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
man in front of a screen with Apple and UofR logosA 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
globe and stethoscopeUsing 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
building blocks with DNA lettersUsing gene sequencing, researchers can try to understand the possible genetic causes of disorders like autism, epilepsy, and infantile spasms.

MORE HEALTH ANALYTICS RESEARCH >>



Cognitive Science and Artificial Intelligence

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
woman wearing Google Glass and a view of a crowd as she sees itSpeaking 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
ipad with app about restaurantsA 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
lots of images of selfiesResearchers 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 
researchers with robotsThe newly formed Robotics and Artificial Intelligence Laboratory, which develops robots that learn how to perform complex tasks robustly and efficiently. 

MORE COGNITIVE SCIENCE AND ARTIFICIAL INTELLIGENCE RESEARCH >>



Methods, Tools, and Infrastructure

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
airplaneAfter 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
iPhone screenAn 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
researcher show toy to baby in labAs 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
Bogata at night“Smart cities” use data to inform urban development in low-cost ways that maximize the productivity and quality of life for its residents.


MORE METHODS, TOOLS, AND INFRASTRUCTURE RESEARCH >>