International Statistical Engineering Association (ISEA) Summit November 18-19

Large, complex, unstructured problems pose a serious challenge in virtually every human endeavor. Unfortunately, “textbook problems” are typically solved through the application of a “correct” tool, often the one under current study. How then should these big problems be solved? We believe that cost-effective, sustainable solutions for these big problems are best attained through the application of Statistical Engineering, a discipline that has been proven effective and whose expansion will work to the benefit of humanity.

Day 1 of the 2021 ISEA Summit features our Keynote Speaker, Dr Michael I. Jordan (University of California, Berkeley), followed by a panel discussion on the topic of Statistical Engineering. Day 2 features 3 case studies demonstrating applications of Statistical Engineering. On both days, interactive breakout rooms (via Zoom) will conclude each day. You will receive those links by email a few days before the Summit.

Find the complete agenda and schedule at

Regular registration fee: $100 to attend the entire Summit (2 days).
Academic Student registration fee: $50. Use promo code ACADEMIC50. (This applies to an individual who is currently engaged in full-time undergraduate or graduate level studies at a postsecondary institution.)

Quick Agenda (Times listed as US Eastern Time)
Thursday, November 18
9:00 - 9:50am Opening Remarks & Overview of Statistical Engineering Handbook by Stefan Steiner and Lynne Hare
10:00 - 11:00am Keynote "Engineering Systems that Learn: The Need for Blends of Computation, Economics, and Statistics" by Michael I. Jordan (Univ of California, Berkeley)
11:10 - 12:30 "The Past, Present, and Future of Statistical Engineering: A Panel Discussion"
1:00 - 2:00 Roundtable Discussions (Zoom links will be emailed)

Friday, November 19
9:00 - 10:00am "Solving Complex Problems with Statistical Engineering" by Willis Jensen, W.L. Gore & Associates
10:15 - 11:15am "Guiding Complex Design of Experiment Choices to Match Requirements for Multiple Responses" by Christine M. Anderson-Cook, Los Alamos National Laboratory
11:30 - 12:30pm "NASA’s Statistical Engineering Journey" by Peter Parker, NASA
1:00 - 2:00 Roundtable Discussions (Zoom links will be emailed)

Please send your questions, comments and feedback to: