Publications

Forthcoming

Song, Q. C., Hernandez, I., Shin, H. J., Tracy, M. M., & Liu, M. Q. (forthcoming: 2023). Machine learning algorithms and measurement. Technology and Measurement around the Globe. Washington D. C., APA books.

Song, Q. C., Shin, H. J., Upadhya, N., & Teo, T. (forthcoming: 2023). Technology and measurement in Asia. Technology and Measurement around the Globe. Washington D. C., APA books.

2022

Journal

Song,Q. C., Shin, H. J., Tang, C., Hanna, A., & Behrend, T. (2022). Investigating machine learning’s capacity to enhance the prediction of career choices. Personnel Psychology, 1–25. https://doi.org/10.1111/peps.12529

Workshop

Shin, H. J., & Liu, A. (2022, Dec). Exploring Human-AI Collaboration for Fair Algorithmic Hiring [Poster presentation]. Workshop on Human-Centered AI at NeurIPS 2022

Short Paper

Shin, H. J., & Liu, A. (2022). Exploring Human-AI Collaboration for Fair Algorithmic Hiring. Workshop on Human-Centered AI at NeurIPS 2022.

Conference

Song, Q. C., Shin, H. J., Tang, C., Hanna, A. & Behrend, T. S., (2022, April). Machine learning enhances the prediction of career choices. In Chris Nye (Chair), The power of vocational interests: Understanding choices, attitudes, and behavior [Symposium presentation] The 37th Annual Conference of the Society for Industrial and Organizational Psychology, Seattle, WA.

2020

Conference

Tang, C., Shin, H. J., Barve, A. D., & Song, Q. C. (June, 2020). Using ensemble machine learning to improve assessment in personnel selection [Poster presentation]. The 35th Annual Conference of the Society for Industrial and Organizational Psychology, Virtual Conference.