The 39th American Statistical Association Quality and Productivity Research Conference will be held June 6–8, 2023, in Houston, Texas, at the University of Houston. The purpose of the conference is to improve the quality of products and services and the productivity of industries by stimulating the research and development of better statistical methods for quality and productivity improvement. The 2023 conference theme is “Statistics, Deep Learning, and the People Side of Process.”

The conference will honor Nicole Radziwill, senior vice president of quality and strategy at Ultranauts, who will give a talk about the latest innovations in artificial intelligence, productivity improvements already being observed, and bias and data poisoning that can threaten even the best model. She will also tell a unique story that will make listeners question the emerging nature of AI reality.

Conference registration begins in February. For an additional fee, two half-day courses will be delivered before the conference on June 5 (separated by a lunch break). Machine Learning–Based Process Modeling and Monitoring will be led by Ying Lin from the University of Houston and Fair Machine Learning in Health Care will be led by Na Zou from Texas A&M University.

An important objective of the conference is to encourage student participation. Scholarships include the Mary G. and Joseph Natrella and QPRC student scholarships.

To submit a contributed paper, send the session title, authors’ names, and a 50-word (maximum) abstract to John Terrell. Questions about the conference can be emailed to Jamison V. Kovach.

Get up-to-date information about the conference program, short courses, registration, scholarships, and hotel.