Julia O’Neill contributed to speeding up global regulatory agencies’ early approval of Moderna’s COVID vaccine, SPIKEVAX, for release to the world.
Quality and Productivity
Quality and Productivity Section News
Check out what members of the Quality and Productivity Section has been up to and what they have planned for the rest of the year.
Q&P Section Readies for 39th Research Conference
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.
Quality and Productivity Goals for 2023
The Quality and Productivity Section executive committee reviews the section goals for 2023.
Quality and Productivity Section News for October 2022
The Quality and Productivity Section held its business meeting virtually on August 1.
Quality and Productivity Research Conference Slated for June
The 38th ASA Q&P Section’s Quality and Productivity Research Conference will be hosted by San Francisco State University June 14–16, 2022. The theme of this year’s conference is “Data, Statistics, and Responsibility.”
Quality and Productivity Section News
The Quality and Productivity (Q&P) Section executive committee met October 29 to discuss areas of focus for 2022. The committee discussed areas of strength, areas of weakness, and areas needing special attention.
Dates are Set for the 2022 Quality and Productivity Research Conference
The conference will take place June 13–16 in Mountain View, California, and at San Francisco State University. The theme is “Data Science, Statistics, and Responsibility.”
Quality and Productivity Section Announces 2021 Hahn Achievement Award Winner
This year’s recipient, Christine Anderson-Cook, is an innovator, technical leader, and influencer in many areas of industrial statistics.
Quality and Productivity News for May 2021
The 37th annual Quality and Productivity Research Conference will be hosted by Florida State University in Tallahassee, Florida, July 26–29, and focus on the latest ideas and cutting-edge modern methodologies in all aspects of big data analysis and their applications.
