Program

Download PDF copy of program here: JRC 2024 Program (PDF).


Download (some) presentation slides here:


The 2024 Joint Research Conference aims to bring together researchers and practitioners from around the world who use statistics in quality, technology, and industrial contexts. The conference promotes communication among researchers and practitioners to enable and ensure the development and widespread use of novel insights and methodology. The conference focus is on recent advancements in methodology as well as on best practices and innovative applications. A non-exhaustive list of topics of interest is a non-exhaustive list of topics of interest in provided below.

  • Big data in Business and Industry
  • Design of Experiments
  • Machine Learning and AI
  • Measurement Uncertainty
  • Network Science
  • Predictive Analytics
  • Process Modeling and Control
  • Quality Improvement and Six Sigma
  • Reliability and Safety
  • Statistical Consulting and Statistics in Practice
  • Statistical Computing
  • Statistical Engineering
  • Statistical Modelling
  • Statistical Process Control
  • Time Series Modeling and Forecasting

In addition to the keynote and plenary talks, the conference will consist of an invited program and a contributed program along these themes. More updates as they arise will be posted on this website.

Scientific Program Committee

 Nathaniel Stevens (Co-Chair), University of Waterloo

Alan Vazquez, Tecnológico de Monterrey

Srijan Sengupta, North Carolina State University 

Siddhesh Kulkarni, Bristol Myers Squibb

Yili Hong (Co-Chair), Virginia Tech 

Anne Driscoll, Virginia Tech

Maria Weese, Miami University

Inez Zwetsloot, University of Amsterdam 

James Wilson, University of San Francisco 

Ming Li, PetSmart