Teams (Student or Advisor) are now required to submit an electronic copy (summary sheet and solution) of their solution paper by email too email@example.com as a Microsoft Word or Adobe PDF (PDF is the preferred file format) file attachment.
Your email MUST be received at COMAP by the submission deadline of 9:00 PM EST, February 12, 2018. Note you will not receive an auto response.
COMAP your control number
example: COMAP 12345
Click here to download a PDF of the complete contest instructions.
Click here to download a copy of the Summary Sheet in Microsoft Word format.
*Be sure to change the control number and problem selected before printing out the page. You must still login to the website and choose your problem.
Teams are free to choose between MCM Problem A, MCM Problem B, MCM Problem C, ICM Problem D, ICM Problem E or ICM Problem F.
MCM: The Mathematical Contest in Modeling
ICM: The Interdisciplinary Contest in Modeling
PROBLEM NOTES AND UPDATES
3-30 mHz should be 3-30 MHz
Determining the “Energy profile” asks the students to select and aggregate what they think is important from the data in the context of the problem and at a level useful to the decision makers, the governors, who don‘t want to deal with 605 variables in an equation. This is a basic modeling step, and essential for what follows, which is the longitudinal analysis and then the improvements through policy change.
The information collected by the United Stated Energy Information Administration is gathered from across different states and territories. Each state has its own set of regulations and has implemented those regulations at different times in the past. The result is that different states have different ways to collect information, and the data collection for different variables started at different times. Additionally, different entities within a state produce energy separate from major utilities, and some information about energy production is not collected.
More details about how the information is collected can be found at the following location:
For more specific information about the relationships between the variables in the data set please see the following document:
Task 2: Select one of the top 10 most fragile states as determined by the Fragile State Index (http://fundforpeace.org/fsi/data/) and
determine how climate change may have increased fragility of that country. Use your model to show in what way(s) the state may be less fragile without these effects.
The 10 countries are: South Sudan, Somalia, Central African Republic, Yemen, Sudan, Syria, Democratic Republic of Congo, Chad, Afghanistan and Iraq.