Podcast

Welcome to our Work Science Center Podcast Series page.

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Employees holding signs on a bridge

Episode 3: Bridging the Skills Gap
Broadcast Date:
March 28, 2018
Episode Summary:

Host, Ben Perrodin, talks with Tim Lawrence, Executive Director of SkillsUSA. Ben and Tim Lawrence discuss the value of and need for careers in technical education, a 21st century take on vocational education that helps guide learners into career pathways. Lawrence explains what the skills gap is and its implications for employers, employees, customers, and job seekers. He elaborates on the difference between the skills gap in basic, softer employability skills and more technical, job specific skills. He also discusses the value of industry-recognized credentials and how 21st century technology is changing the face of career technical education.

To download, visit: hdl.handle.net/1853/59455


Transcript
Research Area:
The Modern Workforce, Work Across the Lifespan
office area

Episode 2: Space and the Work Experience: Building Better Workplaces
Broadcast Date:
March 27, 2018
Episode Summary:

Host, Alex LoPilato, and Dr. Sonit Bafna, an Associate Professor of Architecture at Georgia Institute of Technology, discuss architectural morphology and its reciprocity with modern work. Dr. Bafna elaborates on space syntax, the nature of how different aspects of a building come together to create a recognizable structure. Together Alex and Dr. Bafna explore the implications architecture have for work, such as establishing a hierarchy among employees, or promoting different workplace culture. Dr. Bafna also provides the titles and quick summaries of books that target the interface of psychology and architecture.

To download, visit: hdl.handle.net/1853/59454


Transcript
Research Area:
Workers and Technology, The Modern Workforce
wooden post with posters

Episode 1 - Big Data With Fred Oswald
Broadcast Date:
March 26, 2018
Episode Summary:

Host, Alex LoPilato, discusses all things big data and work science with Dr. Fred Oswald, Professor of Industrial-Organizational Psychology at Rice University. Together, Alex and Dr. Oswald clear the air about what makes big data “big,” and the difference between dustbowl empiricism and big data analytic techniques. Dr. Oswald also highlights some potential applications of big data in work science, such as data mining resumes or social media to improve hiring techniques, or monitoring multiple ambulatory measures of employees’ health and wellbeing.

For download, visit hdl.handle.net/1853/59451


Transcript
Research Area:
Workers and Technology, The Modern Workforce