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A Note From Ed Seidel

Dear Friends and Colleagues of the Midwest Big Data Hub:

I’d like to let you all know that I have recently accepted the position of VP for Economic Development and Innovation for the University of Illinois System, and will no longer be the Director of NCSA. As a result, after consulting with MBDH leadership, NSF, and U of IL officials, we have decided that it is the best interests of the hub that we pass the PI role to Prof. Bill Gropp.

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National Transportation Data Challenge

National Transportation Data Challenge Kicks Off on May 2-3!

The Big Data Regional Innovations Hubs have announced the Transportation Data Challenge, a series of community problem solving-sessions, data faires, hackathons, and demonstrations, held in collaboration with the U.S Department of Transportation, Amazon Web Services, Microsoft, Data Science Inc., and others.

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The Machine Learning: Farm-To-Table Workshop

The Midwest Big Data Hub (MBDH) is partnering with the International Food Security at Illinois (IFSI) group at UIUC to bring together domain scientists from the Agriculture, Bioinformatics, Food-Energy-Water, and Food Security communities, along with computational experts. The objective of this workshop is to stimulate new data-driven R+D activity at the intersections of these communities. The meeting will be structured to enable new cross-community interactions and initiate grant proposals or publications.

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MBDH Spoke Awardee Guides Open Source Computational Research Infrastructure for Science

The newly released open source Computational Research Infrastructure for Science (CRIS) was developed with contributions from a Midwest Big Data Hub (MBDH) Planning Grant, “Cyberinfrastructure to Enhance Data Quality and Support Reproducible Results in Sensors.” CRIS provides an easy to use, scalable, and collaborative scientific data management and workflow cyberinfrastructure.

CRIS was developed at Purdue University under the technical leadership of Peter Baker and the scientific supervision of Professor Elisa Bertino. Dr. Bertino is the PI of the MBDH Planning grant, which contributed by assessing the quality tools and versioning techniques provided by CRIS. Within the grant, the developers are currently working on provenance models and techniques, and provenance interoperability for the CRIS provenance model.

More information can be found here.