What is MAEPiMS?
Mathematics | Epidemiology | Machine Learning | Social Indicator
A multidisciplinary competition designed for the next generation of thinkers to apply their skills to solve challenging tasks.
This initiative focuses on the surveillance, prediction, and analysis of infectious diseases by integrating mathematical modeling, machine learning, and socioeconomic indicators.
Challenge/Purpose
To task participants to develop actionable solutions and policy recommendations for public health and societal impact.
Aims
- Equipping the next generation of thinkers with challenging tasks to enhance their skills for academic and community impact Utilizing mathematical modelling and machine learning to provide actionable solutions and recommendations for policymakers.
Objectives
- To foster interdisciplinary research between mathematics and other fields.
- The integration of developing machine learning algorithms and mathematical modelling for research focus (infectious disease, social modelling, prediction and interventions).
Key Features
Here are some of the standout features that make the MAEPiMS competition unique.
Interdisciplinary Focus
Mathematical modelling, infectious disease, epidemiology, machine learning, social indicators
Real-World Applications
Socioeconomic and public health impact.
Team Building
Fostering teamwork through collaboration during the competition.
Skill Development
Hands-on experience in problem-solving and innovation.
Registration Closed!
Task Challenge Date - March 8 - 10, 2025
Why Participate?
- Apply your skills to tackle real-world challenges in public health.
- Work on cutting-edge problems in disease surveillance and prediction.
- Collaborate with peers and gain recognition for innovative solutions.
- Make a meaningful contribution to public health and resilience.
- 27th February 2025 ( Registration Deadline)