International Statistical Engineering Association

Chair’s Welcome to the ISEA Webpage!

Welcome to the International Statistical Engineering Association (ISEA) webpage! We are the global society dedicated to advancing the emerging discipline of statistical engineering. We are extremely happy that you have reached out to learn more about us.

See information on statistical engineering to the right and download the flyer to learn more about ISEA.

We are a rapidly emerging discipline that has started an important journey. We sincerely hope that you will join us on this exciting adventure!

    Subscribe to the ISEA youtube Channel

      ISEA now has its own YouTube Channel, where you can view past webinars and other educational videos about Statistical Engineering. Currently, there are two playlists Why is Statistical Engineering Important and Use cases, where we will be adding more in the coming months. Check out the channel, subscribe, comment on the content (including recommendations for future content), and set notifications to be updated when new videos are posted.

      JOIN ISEA ON LINKEDIN

      The ISEA LinkedIn group is now open to the public. Here you will find educational materials as well as information on upcoming events where you can learn more about statistical engineering. Please feel free to join the group and the conversation. 

      BLOG: DATAWORKS WEBINAR SUMMARY #1

      Did you miss the May 1 DataWorks webinar that featured three Statistical Engineering talks?  Geoff Vining from Virginia Tech started off the webinar with a presentation entitled “The Role of Statistical Engineering in Creating Solutions for Complex Opportunities.”  Two case studies also showed the application of statistical engineering in different settings.  Adam Pintar from NIST shared “Statistical Engineering for Service Life Prediction of Polymers” and Jim Simpson of JK Analytics presented “Sequential Testing and Simulation Validation for Autonomous Systems.”

      Geoff’s talk introduced statistical engineering as an approach for solving problems with unstructured, messy, and usually large datasets.  The presentation helps explain what statistical engineering is, the phases of the process, and the personnel involved (i.e. the need for subject matter experts).  He also described how important leadership, teamwork, and other people skills are for the statistical engineer, in addition to technical expertise, to be effective in this role.   

      Geoff included details about the first university course focused on Statistical Engineering, which he taught at Virginia Tech to graduate and undergraduate students this spring. 

      His slides are available at https://dataworks.testscience.org/wp-content/uploads/sites/13/formidable/23/The-Role-of-Statistical-Engineering-in-Creating-Solutions-v1.1-Vining.pptx.

      Want to know more?  Check out the recording at  https://youtu.be/w5nTJCjvQOI



      A series of webinars the 3rd week of each month, Sep-Nov

      September speakers (week of Sep 21):

      • Marco Reis, University of Coimbra, Portugal

      • Bart de Ketelaere, Leuven University, Belgium

      • Alex Varbanov, Proctor & Gamble, USA

      DATAWORKS WEBINAR 

      Thank you for attending the DATAWorks 2020 Webinar series. We hope that you learned something new, made a new contact, or were inspired in your own research. All of the recorded sessions are available HERE. Mark your calendars now for DATAWorks 2021, scheduled for April 12-14, 2021.


      What is statistical Engineering?

      The study of systematic integration of statistical concepts, methods, and tools, often with other relevant disciplines, to solve important problems sustainably.

      WhY statistical Engineering?

      Problem solvers are faced with enormous problems such as: lower cost healthcare, cleaner environment and globally competitive manufacturing. A cohesive body of knowledge for solving such problems is lacking. Collection and analysis of high quality, relevant data is critical to success. Big Data approaches are useful but not sufficient. Statistical Engineering provides the integration needed to fill the gap. The need for Statistical Engineering educational programs and increased published applications of the discipline is vital and urgent.

      For more information, join ISEA and gain access to the Handbook of Statistical Engineering, case studies, and other publications by thought leaders.


      THANKS TO OUR ORGANIZATIONAL MEMBERS!


        




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