According to a new Connected and Automated Vehicles Social Network Analysis (CAV SNA), Southeast Michigan’s CAV network is burgeoning, with 351 organizations identified as working within the intelligent transportation ecosystem, including industries such as automotive, software, legal, construction, government and manufacturing, among others. The report also found nearly 1,400 relationships already developed between these organizations, a significant sign that a healthy, collaborative climate is being fostered in the region – a dynamic vital to long-term leadership in the region and state.

The Analysis, which identifies key organizations that provide critical thinking or serve as a point of intersection across important initiatives in Michigan’s CAV sector, was developed by the Workforce Intelligence Network for Southeast Michigan (WIN), on behalf of the Advance Michigan Defense Collaborative (AMDC).

Map title: A core group of highly connected and influential organizations (nodes) in Southeast Michigan’s CAV ecosystem; Map source: WIN’s Connected and Automated Vehicles Social Network Analysis (CAV SNA), 2017 (For full CAV SNA map, visit


The report provides data and analysis of core influencers, highly connected organizations that serve as gateways to collaboration, and stakeholders that can help integrate other organizations shown as disconnected from the vast CAV network.

The top five most influential organizations in Southeast Michigan’s connected and automated vehicles ecosystem are:

  1. General Motors
  2. Ford Motor Company
  3. University of Michigan
  4. American Center for Mobility
  5. Michigan Economic Development Corporation

“Identifying key players within the CAV space not only allows us to see who is already working together, but also who should be working together to leverage Southeast Michigan as a competitive mobility leader,” said Lisa Katz, executive director, WIN. “As regulations are still being determined within the sector, we are seeing more involvement from insurance companies and law firms. As such, “connectors” are taking many forms as the CAV network continues to organically expand.”

The full Connected and Automated Vehicle Social Network Analysis as well as social network maps showing the top organizations in various capacities in the region can be viewed at:

For a PDF version of this release, download here.

For more research and data from WIN, or a custom analysis, please visit:



The Workforce Intelligence Network for Southeast Michigan (WIN) is a collaborative effort between ten community colleges and six Michigan Works! Agencies, in partnership with numerous other organizations, to create a comprehensive and cohesive workforce development system in Southeast Michigan that provides employers with the talent they need for success. WIN covers a 16-county area, including Genesee, Hillsdale, Huron, Jackson, Lapeer, Lenawee, Livingston, Macomb, Monroe, Oakland, Sanilac, Shiawassee, St. Clair, Tuscola, Washtenaw, and Wayne. WIN was founded with the support of the New Economy Initiative for Southeast Michigan and publicly launched in November 2011.


The Advance Michigan Defense Collaborative (AMDC) is a group of organizations that provides immediate and sustained assistance to firms and workers in a 13-county region in Southeast Michigan affected by reduced Department of Defense procurement. The group coordinates assistance to organizations that promote research, industrial development, and talent development relevant to the defense industry. Efforts support resiliency and capacity in autonomous transportation and connected mobility, lightweight materials manufacturing sector, and information technology, with a focus on increasing security of automated transportation systems and products. The core coalition of partners includes the Macomb/St. Clair Workforce Development Board, Workforce Intelligence Network for Southeast Michigan, Michigan Defense Center-an operation of the Michigan Economic Development Corporation, Merit Network, and Macomb County Office of Economic Development and Planning.

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