Modeling the Future Challenge (MTFC)

A national academic competition in which high school students learn real-world data analytics, mathematical modeling, and actuarial science by applying these skills to tackle contemporary societal challenges.

Geographic Scope: United States (national competition)

Focus Areas:

• Mathematical modeling and data analytics
• Actuarial science concepts
• Real-world problem solving
• Predictive analytics
• Collaborative team-based learning

Student Eligibility:

• High school students
• Teams compete together
• Traditionally underserved students (through Underserved Engagement Initiative)

Program Features:

• Real-world data analytics projects
• Mathematical modeling applications
• Actuarial science education
• Team-based competition
• Mentor/judge involvement from actuarial professionals
• Semi-finalist and finalist stages

Special Initiatives:

• Underserved Engagement Initiative: Goal to increase and expand access by including high school students who are traditionally underserved through:
  • Targeted outreach
  • Specially developed program materials
  • Focus on Title 1 schools

Related Events:

• Modeling the Future Symposium

Support Available:

• Mentorship from actuarial professionals
• Judging by actuaries
• Access to STEM Stars Actuarial Scholars Program information

Past Success:

• Hundreds of talented high school students introduced annually
• Semi-finalist recognition for outstanding projects
• Published research opportunities for winning projects
• State-level science research symposium recognition

Contact Information:

• The Actuarial Foundation
• 869 E. Schaumburg Rd. #321, Schaumburg, IL 60194-3654
• Phone: 847.706.3535
• Email: info@actfnd.org
• Website: actuarialfoundation.org

Application Process

Project Development:

1. Form a high school student team
2. Select a real-world challenge or societal problem
3. Apply mathematical modeling and data analytics
4. Incorporate actuarial science concepts
5. Develop predictive models and forecasts
6. Document analysis and findings

Competition Stages:

• Semi-finalist stage (intermediate evaluation)
• Finalist stage (final evaluation)

Evaluation Criteria:

• Quality of mathematical modeling
• Application of actuarial concepts
• Data analysis and interpretation
• Real-world relevance and impact
• Team collaboration and problem-solving
• Communication of findings

Support During Competition:

• Access to mentors from actuarial profession
• Feedback from judges
• Guidance on project development

Feedback and Revision:

• Judges provide constructive feedback
• Teams can revise work based on feedback
• Opportunity for publication and presentation at state level