The team will be led by Geoffrey Fox, IU distinguished professor of computer science and informatics, according to a University press release.
The focus of the study will be the ability to compute and analyze large amounts of data, which is a very prevalent problem in science ?today.
The ever-growing amount of available data, while ultimately helpful, can create a challenge for scientists.
Fox will work with IU faculty members Judy Qiu and David Crandall from the Digital Science Center and the School of Informatics and Computing, according to the University.
The team will also be supported by researchers from Emory University, the University of Arizona, Rutgers University, Virginia Tech, the University of Kansas and the University of Utah.
The project will last five years.
The researchers will address big data challenges in seven particular research communities.
These areas include biomolecular simulations, network and computational social science, epidemiology, computer vision, spatial geographical information systems, remote sensing for polar science and pathology informatics.
“The project libraries created with this funding will have the same beneficial impact on data analytics that other scientific libraries have had for supercomputer simulations,” Fox said in the release. “And they will be implemented to be scalable and interoperable across a range of computing systems including clouds, clusters and supercomputers.”
Fox has previously been recognized internationally for his free MOOC on Big Data Applications and ?Analytics.
The team will also host discipline-specific meetings and workshops to engage researchers and educators further, according to the ?University.
These sessions will serve to gather requirements for and feedback on the new software.
IU’s was one of two proposals accepted as an early implementation project.
Anna Hyzy
