Session I: Economic Outlook and Workforce Trends : Rob Sentz, EMSI

Why? Data for Economic Prosperity – Aligned Economic Ecosystems

Supply People

REGIONAL ECONOMY Higher Ed

Businesses

Demand

How? How does the data work?

Resumes / profiles (People) Regional Industries

Curriculum (Higher Ed)

Job Postings (Businesses)

1. Our ability to understand “work� has largely been informed by taxonomic data from government sources 2. We need new ways of looking at work

Moving data closer to reality  Limits of taxonomic data (government data)  Colleges cannot use it to appropriately understand demand  Employers don’t speak that language  States and regions need to better understand their unique advantages/disadvantages  Individuals need to be able to chart their path

Skill Clusters Ac t u a l re p re s e n t a t i o n s o f w h a t p e o p l e d o v s t h e g o v d a t a p rox y

Skill Cluster Universe

Visualizing relationships between skills

Trend for 3 Critical Segments of Work  Are manufacturing jobs dead?  Are there better ways to look at emerging job sectors?  What should we do about the Humanities?

National Cluster  Traditional production skills  Welding, machining, etc  Computer-Automated Tech (CAT)  Tech that aids production  Six Sigma (or Lean)  Process improvement  Good Manufacturing Practices (GMP)  Quality control

Observations  Two - classic production  Two - engineering-oriented  Six Sigma is very close to the core  Workers must possess triedand-true skills  Continuous process improvement had the overlap

Michigan  Vehicles and Industrial Design  Two classic production sets  Two engineeringoriented sets  Traditional and vehicles overlap  Industrial design and Six Sigma overlap

California  Vehicles is the dominant cluster  Other three – industrial design, Six Sigma, and GMP are engineering oriented  Corrective and preventative actions (CAPA) shows up in three lanes

The Labor Market Outcomes for Liberal Art Grads

Traditional Taxonomies  Amazon, GM, and Emsi are all looking for a Software Engineer I; are we all looking for the same person?  Traditional taxonomies are wooden in their shape  People and jobs don’t generally fit nicely within those boundaries

Advancing Careers  Determine what skills a person needs to achieve their career goals  Help colleges inform the enrollment and program development process  Help employers inform the career transition process  Help people know what to do next