About the Training

The Actuarial Process training program is a world-class professional development program for mathematics and computer science educators in the United States. Educators accepted into the program receive a $300 stipend and are provided 13 hours of professional development including cutting-edge resources to help excite your students in real-world data analysis and mathematical modeling.

Hands-on scenarios and project-based learning are the foundation of the Actuarial Process training program and the Modeling the Future Challenge as a whole. By participating in this training educators gain unique skills and materials to help engage students in mathematics and computer science curriculum through real-world data-science and risk analysis projects. You will learn how to transform data from boring spreadsheets into interactive experiences where teams of students learn to predict the future!

By completing this training, you will be one of a select group of educators specially skilled at helping students understand how math modeling, data science, and risk analysis can be used in real-world settings to help companies, organizations, and governments make important decisions. Limited spaces for the training are available and are filled on a first come basis for eligible educators. Don’t miss this one-of-a-kind opportunity!

Training Structure and Requirements: 

  • Participation in three 3-hour training sessions
  • Approximately 4 hours of asynchronous tasks
  • Commitment to registering & coaching at least one team for the Modeling the Future Challenge 2022-23 Season

Certificate of Completion for Professional Development: 

  • 9 hours of training
  • 4 hours of asynchronous tasks
  • 13 hours total

Fall Training Session Dates:

  • Saturday, September 10 @ 10am – 1pm CT
  • Saturday, September 17 @ 10am – 1pm CT
  • Saturday, September 24 @ 10am – 1pm CT

 

Applications for the Fall Training close Friday, August 19 at 11:59pm Pacific.

A special thank you to our generous program sponsors:

Helen & James C. Galt

Roy & Georgia Goldman

Rick & Beth Jones