The Institute for Data Science will build 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.
Three domains of initial data science research focus have been identified:
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 University is already a leader in tracking and developing methods to control the spread of infectious diseases and is home to a world center for the collection and analysis of cardiac data.
Le Wang ’14
biomedical engineering major
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.
Junhuan Zhu, first-year doctoral student in computer science
Analyzing large-scale data requires the appropriate tools—a challenge that some of the institute’s faculty members will address. The ultimate goal is to relieve the end user from the need to understand details of a platform in order to have the computer system determine the optimal use of resources.
Emily Eisenberg '14
computer science and mathematics major
By creating the Institute for Data Science, multiple centers of excellence and programs—including those that exist now as well as those that are planned—can coalesce.
Researchers from diverse areas will work together to harness the potential of data and advance knowledge and discovery in their fields. The following centers are closely aligned with the Institute for Data Science:
Center for Biomedical Informatics (CBI)
Learn more about the Rochester Center of Excellence in Data Science