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Director: Dr. Tianjun Sun
@ Rice University
The SMART (Selection, Methodology, & Assessment Research via Technology) Lab strives to better understand human individual differences in work-related settings, using advanced quantitative methods and technology.
We study questions and solve issues in personnel selection, personality science, psychological measurement, and research methodology. Our research aims to bridge the gap between academic theories and practical applications in organizations, contributing to the enhancement of personnel selection methods and improving employee experiences. We focus on developing innovative solutions for real-world challenges in modern workplaces by integrating psychological measurement and cutting-edge technologies, such as conversational AI and machine learning. The SMART Lab’s unique interdisciplinary approach makes it a leader in addressing emerging trends in industrial-organizational psychology.
Focal research areas:
Personnel selection (faking, bias, big data/machine learning applications, etc.)
Individual differences (personality, interests, social behaviors, etc.)
Responsible artificial intelligence (psychometric natural language processing, human-centered design, etc.)
Research methods (structural equation modeling, item response theory, multilevel/longitudinal analysis, etc.)
For more, visit the Research page!
General overview:
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