Description: While the major market crash subsequent to the widespread contagion of the COVID-19 virus was readily predictable, the rapid recovery and ongoing growth subsequent to it was not. Market dynamics around the recovery resist characterization by most traditional analytical approaches. In examining the circumstances around the emergence of a large retail class of investors, one sees that ingrained human tendencies, particularly optimism bias, have fueled much investor behavior responsible for the recovery. Understanding this makes it possible to predict potential future crashes and develop behavioral interventions for subsequent market recoveries.

Description: A three-minute neuroscience-based image exercise is able to accurately unlock the emotional state of individual employees, permitting prediction of a host of specific needs. Actuaries can use this quantitative information at scale to target resources, benefits, and supports to increase the objective wellness and subjective well-being of workforces.

Description: The SOA Research Institute tasked the Workforce Science Institute to investigate how retirement benefit plans can affect a plan sponsor’s workforce and business results. The following is an interview with Rick Guzzo and Haig Nalbantian co-founders of the Workforce Science Institute who are the researchers on this project. The interview gives a helicopter view of the project as well as provides some “food for thought” on how retirement plans can be designed to produce an effective workforce.