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middleware

Refining tools for Big Data

You may have been hearing about the advent of Big Data: truckloads of information coming from cell phones, satellites, microscopes, and perhaps someday, wearable health monitoring devices.

At Emory, specialists in biomedical informatics have been in the forefront of efforts to design software that will allow scientists to learn from these mountains of data. Fusheng Wang was recently named as co-PI on a five-year $5 million National Science Foundation grant to create MIDAS (Middleware for Data-Intensive Analytics and Science), part of the NSF’s Data Infrastructure Building Blocks program. For this grant, the team consists of seven institutions: Indiana University (lead — Geoffrey Fox), Arizona State, Emory, Kansas, Rutgers, Utah and Virginia Tech.

Wang also recently received a NSF Career award in this same area.

The MIDAS project addresses major data challenges in seven different communities: biomolecular simulations, network and computational social science, epidemiology, computer vision, spatial geographical information systems, remote sensing for polar science, and pathology informatics. Wang is responsible for pathology informatics and geospatial, gathering requirements from those communities and implementing the spatial query and parts of the image analysis library. The libraries are supposed to be interoperable across a range of computing systems including clouds, clusters and supercomputers. The project includes a plan to develop a open online course (MOOC), according to the NSF.

Posted on by Quinn Eastman in Uncategorized Leave a comment