Midwest Big Data Hub: Driving Data Collaboration and Innovation
The Midwest Big Data Hub, led by Director Edward Seidel, is a collaborative initiative involving academia, government, industry, and nonprofits to promote data-intensive research and innovation. With a focus on various areas including network science, urban science, business analytics, and healthcare, the hub aims to strengthen partnerships, secure funding, accelerate technology transfer projects, and train young data scientists. Through initiatives like SEEDCorn and crosscutting rings, the hub seeks to enhance data sharing, develop new sustainability models, and drive impactful data policies and practices.
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Presentation Transcript
Midwest Big Data Hub Edward Seidel Director, NCSA Founder Prof. of Physics, Prof of Astronomy On behalf of the Midwest Big Data Hub Brian Athey Sarah Nusser Beth Plale Josh Riedy Ed Seidel 1
SEEDCorn: Sustainable Enabling Environment for Data Collaboration (aka MBDH) A partnership of academia, government, industry, nonprofits Over 100 partners already Colleges, Universities, Medical Centers, of all types Industry, Non-profits, NGOs States, cities, communities
Spokes Currently Identified by MBDH (Leaders across midwest for each area!) Network Science Including Data Intensive Research in the Social, Behavioral, and Economic Sciences . Urban Science Including Smart and Connected Communities Business Analytics Digital Agriculture Transportation Advanced Manufacturing Food, Energy, Water Healthcare & Biomedical Research Including neuroscience Others as proposed Including Data Privacy Spokes are supported by the Hub
Crosscutting Rings Supported by MBDH Data Science Including Data Intensive Research in the Social, Behavioral, and Economic Sciences Replicability and Reproducibility in Data Science Education Including new approaches to STEM learning environments Data Tools and Services Rings are cross-cutting, supporting all spokes
Goals and Outcomes/Impacts Expected Strengthening, creating and securing funding numerous new public-private partnerships Additional funding from agencies (NSF, NIH, DOE, NIST, USDA ), NGOs, governments, industry will be sought Accelerating technology transfer projects Introducing new Big Data educational activities into universities, industry and government Data policies, management, and best practices with real data for real impact Will involve, train many young data scientists
Goals and Outcomes/Impacts Expected Starting pilots in data environments (SEEDCorn!) Collaborations will come together to develop and test new approaches to data sharing, policies, algorithms Will work with various organizations to test pilots with real data For example: helping farmers balance productivity and sustainability with detailed data on crop growth, soil conditions & environment Research Data Alliance (RDA), National Data Service (NDS), other orgs. HPC centers supporting pilots Developing and implementing new sustainability models Models for long term data stewardship, private-public partnerships, educational practice Different approaches will be needed!
We are just getting started! We are bootstrappping our way to function Executive Director sought! You are invited to join! Our initial planning involves a series of startup meetings beginning in January Check out our website at midwestbigdatahub.org White papers, interim steering group leadership, and more...
Let the Hubs begin!! TIMELINE
Key Near-term Dates for Hub Actions Nov 6: Steering Committee mails Nov 9: Mailing entire collaboration with guidelines for how to propose MBDH activities If not already involved, sign up on website if want to receive this Dec 9: Draft LOI due Proposers to coordinate with spoke leads if appropriate Additional document describing how you leverage hub assets, what you expect, what data collections you might bring, and more see website and mail for details Dec 16: Hub governance team meet in Chicago to plan Mid January: First All Hands meeting
Summary MBDH is highly integrative across all sectors from academia, governments, NGOs, and industry Building collaborations around grand challenges in science and society, focused on Midwest region Helping to automate big data life cycle Enablign access to and increasing use of dat aassets Regional structure to bring together communities across region, nation Focus on problems of the region, and beyond Working groups formed, interim steering committee, workshops planned We are starting to prepare for first NSF spoke solicitation Join us!
