AoCMM 2016 Results & Statistics

The second AoCMM competition hosted 118 teams from 24 different nations and regions across five major continents. We extend our congratulations to all competitors for their hard work! This year by reaching out to media outlets from the Getting Smart Blog to NEHBE , AoCMM was able to expand its connections with students. Furthermore, f or international participants we have opened up a WeChat page to help them stay updated. (Follow us: AoCMM)

This year we updated the score rubric, providing a more comprehensive review of all papers.


The ages of the participants lowered from that of the previous year, demonstrating AoCMM's effort on targeting the underrepresented students.

Download the Rubric 

Differing from last year's policy, teams were given 2 weeks instead of the previous 72 hours to model and report on the following two problems:1

  You are running a presidential campaign in the United States as one of two candidates, and have the results from current polls indicating how well you are doing compared to your opponent in each state. The polls include the following information about each person who has taken the poll: which candidate they will vote for and how certain they are of their choice. Determine a strategy to divide your candidate's campaign finance resources to maximize their probability of success nationally.
2  Manhattan alone experiences over 50,000 vehicle collisions every year. Even worse, the response time of ambulances to crash sites still sits at over 9 minutes. As a result, the mayor of New York City has designated your team to manage more efficient ambulance routes from surrounding hospitals to crash sites and back. Take into account areas with more frequent accidents and consider all factors including number of ambulances needed, traffic jams, distance, etc.

Below is a spreadsheet containing all the recent collision data in Manhattan.
Overall, this year's papers showed significant improvement from last year's; teams made sure to include all necessary components to their papers.
A variety of solutions were presented for the first problem. A common mistake was not backing up the models with logical evidence. Make sure to provide adequate justification in order to avoid over-simplifying the problem. As for the second problem, most teams suggested the shortest path algorithm, which is only one part of a complete model. Teams must consider other optimization methods, such as reallocating ambulances among different stations in Manhattan.

Outstanding Teams

  • Grand Prize - Team 771 (Shanghai High School International Division, China)
  •                            - Zhu Yu Xuan, Kevin Jiang, Richard Lee Jin, and Winston Wang
  •                            - Best Composite Score and Problem 1 Score!
  • Alpha Prize - Team 822 (High School Affiliated to Fudan University, China)
  •                            - Yuyang Zhang, Jiaxuan Lu, Xiayi Ding, and Xingyu Chen
  •                            - Best Problem 2 Score and Second Best Composite Score!

  • Alpha Prize - Team 824 (St. Mark's School & Christchurch School, China)
  •                            - Yichi (Isabella) Zhang, Wenjing (Jenny) Shan, Qiuyi (Carol) Yin,                                          and Chengze (Alan) He
  •                            - Second Best Problem 1 Score!
  • Beta Prize   - Team 766 (Hangzhou No. 14 High School, China)
  •                           - Danning Fu
  • Beta Prize   -  Team 791 (The Ostrava International School, Czech Republic)
  •                           - Lukáš Hejcman, and Adela Katy Dawson
    Beta Prize   -  Team 807 (California Institute of Technology, USA)
                              - Aaron Sartin,  Nishad Maskara, Luke Juusola, and Sunash Sharma
  • Beta Prize   - Team 830 (International School Manila, Philippines)
  •                           - Yu Chul Lee, Mingoo Kwon, Eeshan Ajmera, and Kushagra Sharma
  • Beta Prize   - Team 834 (Shanghai Foreign Language School, China)
  •                           - Jiayi Fu
        Beta Prize   - Team 841 (The Pennington School, China)
                                  - Xin Yi Zheng, Ye Teng, Hao Chen Zhang, and Zheng Bao

              Gamma  - Teams 751, 754, 779, 798, 803, 835, and 839

Prize Details
       Type                             - Percentile 
Grand Prize                    - top 1%            
Alpha Prize                     - top 3%  
Beta Prize                        - top 8%           
Gamma Prize                 - top 15%
Honorable Mentions - top 50%

Participants from around the world...

As AoCMM continues to grow, students learn about us from a variety of sources...

More feedback options were offered to satisfy various needs of the participants...