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News from the NSF Social, Behavioral, and Economic Directorate

Matthew Haynes 0 209 Article rating: 5.0

In the last week of September, the Social, Behavioral, and Economic Directorate (SBE) at the National Science Foundation announced the repositioning of some of its basic research programs.

The repositioning is intended to allow the SBE to better meet several objectives including responding to new areas of scientific inquiry; communicating the value of basic scientific research; and connecting basic research plans to national priorities.

Raise I-O Awareness Year-Round with #SmarterWorkplace Resources

Matthew Haynes 0 254 Article rating: No rating

Richard Landers issued a challenge to I-O psychologists to step out of their workplace silos during his #SmarterWorkplace interview with Colin Omori on AI and Machine Learning.

He said, “’there is this unique, interesting stuff coming out of these new, modern prediction methods, and we need to figure out how to make that our own.’ If we don’t do that, then the data science/computer science communities will do it instead; they’re not going to have our values, and they’re going to run away with the farm, so to speak.”

New Home, New Lecture Schedule for CARMA

Matthew Haynes 0 218 Article rating: 3.0

The CARMA Webcast Lecture Series was established in 2004 and continues as an annual event consisting of 10 live webcast lectures presented by nationally recognized methodologists. Dr. Paul Bliese led off this season’s events with a September 6 talk on panel data.

An I-O Perspective on Machine Learning in HR

Matthew Haynes 0 1061 Article rating: 5.0

Richard N. Landers answers a few questions about the impact of AI and machine learning on I-O psychology in support of SIOP’s Smarter Workplace Awareness Month.

Dr. Landers is an associate professor of Psychology at the University of Minnesota and holds the John P. Campbell Distinguished Professorship of Industrial-Organizational Psychology. His research concerns the use of innovative technologies in psychometric assessment, employee selection, adult learning, and research methods, with a recent focus on game-based assessment, gamification, artificial intelligence, unproctored and mobile Internet-based testing, virtual reality, and social media. His work has been published in the Journal of Applied Psychology, Computers in Human Behavior, and Psychological Methods, among others, and his work has been featured in popular outlets such as Forbes, Business Insider, and Popular Science.

Progress and Opportunities With Big Data in I-O

Matthew Haynes 0 154 Article rating: No rating

In another installment in our celebration of #SmarterWorkplace Awareness Month, Dr. Scott Tonidandel answers some questions about big data and how he sees it through the lens of I-O psychology.

Scott Tonidandel is a professor of Management in the Belk College of Business at the University of North Carolina – Charlotte. Scott’s research interests include issues related to leadership effectiveness, the impact of diversity in organizations, and research methods and statistics. He co-edited the SIOP Frontiers series volume titled Big Data at Work: The Data Science Revolution and Organizational Psychology. Scott serves as an associate editor for the Journal of Business and Psychology, is a former associate editor for Organizational Research Methods, and is a fellow of the Association for Psychological Science, the American Psychological Association, and the Society for Industrial and Organizational Psychology.

Could you give us some background on big data as it applies to I-O psychology researchers and practitioners?

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