Machine Learning in the Organizational Sciences: From There to Here and What’s Next 

Presentor Biography

Andrew Speer is an assistant professor in the Kelley School of Business at Indiana University. Speer is an industrial & organizational psychologist by training, and prior to academia he spent several years working in the private sector as an external human resources (HR) consultant and then leading a HR analytics team. In 2017 he returned to academia as an assistant professor of psychology at Wayne State University, where he worked until joining the Kelley School of Business in 2023.  His research deals with employee selection and assessment, personality, performance management, employee turnover, machine learning, and natural language processing. He regularly publishes several articles a year in top academic journals and engages in applied consulting with organizations regarding HR related matters.

Abstract

In this webcast, I will introduce core machine learning (ML) concepts and how they are applied within the organization sciences. I will then discuss how modern prediction methods were used within the organizational sciences, where they are likely to be most advantageous, challenges experienced when applying ML to organizational data, and how newer advancements in artificial intelligence are changing the way we make use of data within organizations.

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