This workshop bridges the gap between I-O psychologists and technical professionals, empowering participants to effectively communicate and collaborate with software engineers, computer scientists, data scientists, and academic researchers. Co-facilitated by both a practitioner and an academic researcher, it offers practical strategies for embedding I-O psychology methodologies into software development and interdisciplinary research, particularly in the AI/ML space. Through use cases and interactive role-plays, participants will learn how to position I-O psychology as a critical asset in software development and interdisciplinary research, driving better talent-related decisions and fostering successful cross-disciplinary partnerships.
Attendees will leave with actionable insights to effectively influence software development processes and to integrate I-O psychology principles seamlessly into research collaborations. This session advances the science of I-O psychology by promoting interdisciplinary collaboration in a technology-driven world, helping practitioners and researchers alike apply these skills in real-world scenarios.
Questions? Contact the Program Coordinator: Kyle Morgan, PhD, EEI
Presenters

Dr. Josh Liff is the Director of Product Science at HireVue, where he is focused on building and researching next-generation assessment and interview solutions that integrate state-of-the-art machine learning and data science with IO Psychology practices. Prior to joining HireVue, Josh was an assessment consultant with Oracle and Taleo Corporation. As an external consultant with Taleo and Oracle, Dr. Liff focused on developing and validating employee selection tools and processes for enterprise clients across a diverse range of industries, job roles, and levels. In the technology space, Dr. Liff was a principal developer of a comprehensive online system for providing vocational guidance and occupational matching to students and job seekers. Dr. Liff received his M.S. and PhD in Industrial and Organizational Psychology from Colorado State University. He has contributed to professional practice and research via industry and academic conference presentations, invited talks, and peer-reviewed journal article publications, including most recently, several in the Journal of Applied Psychology.

Louis Hickman is an Assistant Professor of Industrial-Organizational Psychology at Virginia Tech, a Senior Fellow at The Wharton School of the University of Pennsylvania, and a Research Fellow at ghSMART. He earned his PhD from Purdue University. His interdisciplinary research focuses on applications of artificial intelligence, machine learning, and natural language processing in organizations, including addressing concerns about algorithmic bias and how these technologies influence workplace behavior. His research has been published in Journal of Applied Psychology, Personnel Psychology, and Organizational Research Methods, among others, and he serves on the editorial boards of Journal of Applied Psychology and Organizational Research Methods.
Intended Audience
Intermediate: Solid understanding of the basic concepts covered in this learning program is assumed and may not be discussed or only discussed briefly in this learning program. Intended for someone with some experience in this content area. Topics such as Natural Language Processing (NLP) and use of Machine Learning techniques will be discussed that will depend on a basic familiarity with the concepts.
Learning Objectives
Describe key communication strategies that facilitate collaboration between I-O psychologists and software engineers, data scientists, and other technical professionals in software development and interdisciplinary research projects.
Demonstrate the application of I-O psychology methodologies in the software development process through use cases and role-play exercises.
Analyze how embedding I-O psychology practices early in software design impacts product outcomes, particularly in tools influencing talent decisions.
Identify practical steps I-O psychologists can take to influence software development and collaborate more effectively with technical teams.
Apply methods to integrate I-O psychology principles seamlessly into interdisciplinary research collaborations, enhancing partnerships between academics and industry professionals.
Times Offered
All times are in
timezone.
- Wed Apr 2nd 8:00 a.m. to 12:00 p.m.
- Wed Apr 2nd 1:00 p.m. to 5:00 p.m.
Delivery Type
In-Person
Certification Type
Continuing Education (CE)
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All times are in
timezone.