A diverse and committed network of partners has created a nimble and flexible regional Midwest Big Data Hub (MBDH) to address increasing challenges in collecting, managing, serving, mining, and analyzing rapidly growing and increasingly complex data and information collections to create actionable knowledge and guide decision-making. MBDH  captures special opportunities, interests, and resources unique to the Midwest.

MBDH has formed a distributed hub and governance structure. The hub supports activities that aggregate expertise, projects, and resources, enabling communities to assemble and function along multiple spokes, including specific themes of importance to the Midwest (across three broad themes of society, natural/built environments, and biomedical sciences). Integrative rings connect all spokes and are organized around themes of data sciences, tools, and services needed to collect, store, link, serve, and analyze complex data collections, and educational activities to advance the knowledge base and train a new workforce in the practice and use of data science and services. Groups across the region are naturally incentivized to work together as they all realize that the challenges they face are larger than any single group, institution, state, or region can adequately address alone.

Priority Areas of Interest:

Society

  • Smart Cities & Connected Communities
  • Business Analytics
  • Network Sciences
  • Public Policy

Natural & Built Environments

  • Food-Energy-Water
  • Agriculture
  • Manufacturing
  • Materials Science

Healthcare and Biomedical Research

  • Community health and wellbeing
  • Food and nutrition
  • Biomedical and Neuroscience research

Cross-cutting priorities

  • Data science, education and workforce development
  • Data: methods, tools, cyberinfrastructure and services
  • Data policy
  • Unmanned systems, robotics, and sensors