The 37th annual Quality and Productivity Research Conference will be hosted by Florida State University in Tallahassee, Florida, July 26–29. This conference is the main annual meeting for the Quality and Productivity Section. The 2021 conference theme, Data Science and Statistics for Quality, reflects the changing nature of the discipline of statistics.
The overall aim of the conference is promotion of data science in diverse applied areas, particularly 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 modern society and every aspect of everyday life—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 further this goal. Statisticians, data scientists, and practitioners from these areas will propose and discuss the latest ideas and cutting-edge modern methodologies in all aspects of big data analysis and their applications. The conference will focus on the progress made in such computationally intensive fields such as data mining, machine learning, functional data analysis, image reconstruction, statistical process control, and uncertainty quantification.
Attendees will be able to form collaborations and interact with the next generation of rising students interested in these fields.
The first day of the conference includes a short course emphasizing computational methods for analyzing big data, “Visualize, Munge, Present: Working Effectively with Tidyverse and RMarkdown.” The remaining three days consist of plenary, invited, and contributed presentations and poster sessions.
Student participation is a vital part of the conference. We will engage students from numerous universities and graduate programs across the US. Students are invited to submit contributed talk and poster presentations and apply for scholarships for travel, registration, and the short course fee.
The conference will have a hybrid format. Sessions and participation will be both in-person and remote to accommodate those affected by the pandemic.
To submit a contributed paper or a proposal for a contributed session, provide a title, authors, and abstracts to Felipe Barrientos. Register at the conference website.
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