Related Presentations
The LMI institute presented the score along with the Projections Managing Partnership in a series of events on the Future of Work. For other projects on the Future of Work, be sure to check out our other page.
The Future of Work: Spotlight on Trucking and Logistics
September 21, 2021
A conversation with Dr. Allison Forbes, Vice President, Research, at the Council for Regional Economic Competitiveness, and Dr. Steve Viscelli, University of Pennsylvania Sociology professor and author of The Big Rig: Trucking and the Decline of the American Dream. In this spotlight on the trucking and logistics industry, we examine approaches projections analysts can use to deepen their understanding of any fast-evolving industry sector.
Implications of Automation for Occupations
September 23, 2021
The exposure of different occupations to automation impacts projections. The LMI Institute shares their work on developing an Automation Index as a Toolkit feature for analysts, the constraints encountered when making projections, and the necessary context to explain state projection results.
The Future of Trucking – Innovative Approaches to Research and Data Analysis
December 9, 2021
What are the likely short-term and long-term impacts of automation on the trucking industry? At the 2021 Projections Managing Partnership Summit, we introduced you to Steve Viscelli, a University of Pennsylvania researcher whose efforts to measure the impacts of autonomous trucking technologies contain data analysis lessons for projections analysts and state LMI researchers. This follow-on Future of Work seminar features federal government economist Kristen Monaco, whose research provides a complementary perspective on the future of the trucking and logistics sector.
Product Demonstrations
The LMI Institute is currently developing a series of product demonstrations to demonstrate the utility of occupational automation exposure scores for our partners in Education and Training, Labor Market Information, and Economic and Workforce Development. Throughout these demonstrations, the LMI Institute’s Automation Exposure Score will answer:
- What specific occupations are the most exposed to automation technologies?
- Are certain racial/ethnic and educational attainment groups concentrated in occupations that are highly exposed to automation?
- Are there automation-resilient career pathways with in-demand entry-level occupations with low barriers to access and that provide workers with family-supporting wages?
- How can we transition workers from occupations that are highly exposed to automation through career transition and skills-training services?