ISEA-Change
The International Statistical Engineering Association (ISEA) is a global society dedicated to advancing the discipline of statistical engineering.
We plan to share the development of the discipline with our members and others, who are interested in learning how to put statistical engineering into practice.
Asking Good Questions to Facilitate Better Collaboration and Enhance Relationships
2025 YSEA Winner - Simon Mak
Active learning for industrial applications training machine learning models with less data
A case study of a mixed level OMARS design
Problem Framing Essential to Successful Statistical Engineering Applications
ISEA Webinar 2023 03 Statistical Engineering Synergies with Established Engineering Disciplines
The Statistical Engineering Framework: What It Is and How It Works in Practice
A Meander through a 30 Year Career in Statistical Engineering
Understanding and Addressing Complexity in Problem Solving
An Overview of QSR Section of INFORMS and In-Process Quality Improvement
ISEA 2021 Online Summit - Keynote: Engineering Systems that Learn | Michael Jordan
ISEA - Unveiling the Statistical Engineering Handbook - Author Insights
Data Works (2021): Statistical Engineering in Practice
Data Works (2021): Statistical Engineering - Modeling & Simulation
Data Works (2021): Statistical Engineering - Statistical Approaches to V&V and Adaptive Sampling
ISEA: Statistical Engineering Applied to Variation Reduction
My Journey Towards Becoming a Statistical Engineer
ISEA 2020 Summit - Statistical Engineering: What it is, What it is Not, and How it Relates . . .
ISEA 2020 Summit - Teaching Students How to Address Complex, Unstructured Problems
ISEA 2020 Summit - A case study to predict student success or failure
ISEA 2020 Summit - Case Studies in Statistical Engineering
ISEA 2020 Summit - Towards Online Quality Assessment in the Chemical Processing Industry
ISEA 2020 Summit - Efficient Computer Vision Model for Product Inspection
ISEA 2020 Summit - Laundry Product Performance through Statistical Engineering
Monitoring Worker Fatigue Using Wearable Devices: An Example of Statistical Engineering in Practice
Statistical Engineering: What is It and Why is It important?