The current climate crisis is a worldwide humanitarian issue that requires much deliberation and consensus amongst politicians to choose policies for a sustainable future. Many programs already exist to limit this crisis: green electricity, low-embodied carbon concrete construction, composting, etc. This project intended to research and thoroughly analyze a list of promising sub-national policies, evaluate each of these policies on a set of criteria, then develop code and software to analyze the data to provide suggestions to decision makers of potentially encouraging policies to assist in their deliberation.

Due to the multi-faceted nature of this project, my team members and I each had different responsibilities. My main responsibility was developing the code for this project. Using the Python programming language, I first developed a program that utilized the PROMETHEE multi-criteria decision making technique to analyze the data we collected. Afterwards, I worked to develop software that decision makers could use to explore which policies best fit their preferences. We intend to use this software in deliberation exercises to gather data on trends in popular policies or preferences.