**GAIMME**: This is the Guidelines for Assessment and Instruction in Mathematical Modeling Education report produce by the Society for Industrial and Applied Mathematics (SIAM). Although a bit general and detached from classroom practice, it has some interesting problems and frameworks for mathematical modeling.

**Introduction to Mathematical Techniques Used in GIS**: Written by Peter Dale, this was the starting point and the organizing tool for the topics I wanted to cover.

**Fundamentals of Geographic Information Systems**: Written by Michael N. Demers,this was a guiding text for understanding the more general field of geographic information systems. It also provided insight into how topography is mapped.

**Moody’s Mega Math Challenge® 2017**: SIAM also offers a math challenge every year and the 2017 problem regarding National Parks was the one that got me thinking about how to involve students with the outdoors.

**Sustainable Development Goals**: Put together by the United Nations (UN), these 17 goals are to be achieved by 2030. These can inform projects in all content areas, though I have chosen to focus on education and the environment.

**The Mathematical Sciences in 2025**: This was a helpful document on some of the predictions as to where math is headed. The strength of the document is the biographies of individuals working at various frontiers.

**List of Unsolved Problems in Mathematics**: Although this is a Wikipedia page, it is an impressive list of problems that have yet to be solved.

**The Millennium Problems**: Written by Keith Devlin, this book is a good general introduction to the seven problems that have been highlighted by the mathematical community as vitally important to prove. Better yet, each one has a one million dollar prize attached to it.

**Three Acts of a Mathematical Story**: Dan Meyer does a great job of describing what he sees as the true process of mathematical thinking and the future role of teachers.

**Modeling Climate Change**: Although I did not end up using the materials from this course, when I first thought I would be working on the mathematics of climate change, this course was a good introduction to algebra-based models in Excel.

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