WSC Podcast Episode 1: What Makes Big Data Big?

Abstract

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.