The University of Michigan plans to invest $100 million over the next five years in a new Data Science Initiative that will enhance opportunities for student and faculty researchers across the university to tap into the enormous potential of big data.
Progress in a wide spectrum of fields ranging from public health to transportation relies critically on the ability to gather, store, search and analyze big data—collections of information so vast and complex that they challenge traditional approaches to data processing and analysis.
“Big data can provide dramatic insights into the nature of disease, climate change, social behavior, business and economics, engineering, and the basic biological and physical sciences,” said U-M President Mark Schlissel. “With our widely recognized strengths across all of these areas and our longstanding culture of collaboration across disciplines, U-M is in a unique position to leverage this investment in data science for the good of society.”
Under the auspices of the Data Science Initiative, U-M plans to:
“Data science has become a fourth approach to scientific discovery, in addition to experimentation, modeling and computation,” said U-M Provost Martha Pollack. “To spur innovation while providing focus, the DSI will launch challenge initiatives in four critical interdisciplinary areas that build on our existing strengths in transportation research, health sciences, learning analytics and social science research.”
In one project at U-M’s Mobility Transformation Center, for example, researchers are collecting a continuous stream of data at a rate of 10 times per second from each of nearly 3,000 private cars, trucks and buses on the streets of Ann Arbor in order to test the operation of connected vehicles. The DSI will help collect, store and analyze the huge amount of data being generated even as the number of vehicles expands to more than 20,000.
In medicine and public health, U-M researchers seek to use big data to boost the effectiveness of data-driven biomedical and health research to accelerate the translation from basic research to patient care. By sifting through the massive amount of data generated from DNA sequencing, medical histories and other sources, for example, they are exploring ways to more precisely diagnose or assess an individual’s risk for certain types of cancer and to formulate the most effective personalized therapies.
Another novel area of research at U-M is drawing on big data to examine the nature of teaching and learning with the aim of providing instruction tailored to the specific needs of individual students. This will involve gathering and analyzing a rich variety of data from thousands of student activities and experiences to uncover the connections between student behavior and success for different kinds of students.
And in social science, U-M researchers are studying the potential of analyzing massive amounts of data generated by social media to replace or complement conventional surveying techniques as a way to gain insight into a broad range of socioeconomic questions.
Industry engagement is also central to the initiative, with a particular focus on the automotive, advanced manufacturing, chemical, finance, health care, and pharmaceutical sectors.
Reflecting the broad promise of big data, all academic units on campus are supporting the initiative. As part of the initiative, U-M will establish the Michigan Institute for Data Science to lead research and educational activities in big data.
“Big data is revolutionizing research in an extraordinary range of disciplines,” said S. Jack Hu, interim vice president for research. “With this initiative, our goal is to spark innovation in research across campus while inspiring further advances in the techniques of data science itself.”
An inaugural symposium to mark the launch of the Data Science Initiative is scheduled for Oct. 6 in the U-M Rackham Building. The event will be open to the university community and the public.
For more information on the initiative and inaugural symposium, click here.