Editor’s Note: Due to Covid-19, dates and formats for meetings, conferences, and workshops may change. Please check event websites often for updates.

The 37th annual Quality and Productivity Research Conference (QPRC) will be hosted by Florida State University June 8–11. QPRC is the main annual meeting for the ASA Quality and Productivity Section. The conference theme reflects the changing nature of the statistics discipline, “Data Science and Statistics for Quality.”

The aim of the conference is promotion of data science in diverse applied areas, especially those associated with the fields of quality and process control. Massive amounts of data are being collected on a daily basis, processed and analyzed in virtually every branch of society and every aspect of everyday life, and so the science, quality, and statistical communities are obligated to keep up with the rapid growth and variety of collected data and provide up-to-date methodologies and guidance to those using this data. This conference will explore and promote ideas that will further this goal.

Statisticians, data scientists, and practitioners will propose and discuss the latest ideas and cutting-edge modern methodologies in all aspects of data analysis and their applications. Sessions will focus on the progress made in computationally intensive fields such as data mining, machine learning, functional data analysis, image reconstruction, statistical process control, and uncertainty quantification. 

The first day of the conference is a short course emphasizing computational methods for analyzing big data, “Introduction to Data Science the Tidy Way.” The remaining three days consist of plenary, invited, and contributed presentations and poster sessions.

To submit a contributed paper or a proposal for a contributed session, contact Eric Chicken.