Students will help build an Early Warning Monitoring System that could help alert scholars, community members, and government officials to locations within Buffalo, NY, where undesirable changes may occur in the near future.
A draft report entitled "Buffalo, Turning the Corner" was recently put out by members of the University at Buffalo Center for Urban Studies. As part of a broader national effort, the report set forth a detailed description of processes relating to undesirable change in seven census tracts spread through several neighborhoods within the city of Buffalo. Part of the report is devoted to a detailed description of a potential “Early Warning Monitoring System” that could help to alert scholars, community members, and government officials to locations within the city where undesirable changes may occur in the near future.
The goal of the proposed project is to build such a system. Currently, under the direction of Prof. Alan Hunt and Prof. Kenneth Joseph, four undergraduate students are collecting and beginning to analyze the requisite data to construct this system. The plan for the coming semesters is to then a) build a prototype system for early warning monitoring, b) present this system to members of the UB Center for Urban Studies and/or officials at the city of Buffalo for feedback, c) to iteratively improve the system and d) to eventually use the system in practice to assist scholars and city officials to identify potential undesirable neighborhood change within the city before it begins. As the project continues, Prof. Hunt will be primarily responsible for helping students to understand how to build systems that are usable and can be understood by practitioners, and will help students to understand how to interface with project partners. Prof. Joseph will primarily be responsible for helping students to understand and leverage data science approaches that underlie the early warning system. We anticipate that eventually, there will be opportunities for interdisciplinary work for students from outside of the CSE department as well.
Participating students will produce an analytics algorithm that examines housing data over time and attempts to predict areas in which gentrification is occurring or has occurred.
|Length of commitment||This project can be done in stages, with members coming and going over its lifespan. It will be a longer project, but needn't be complete to show progress or results.|
|Level of collaboration||Large Group Collaboration|
|Who is eligible||Undergraduate students interested in studying technology, journalism, or digital media|
If you are planning to use this project to satisfy program requirements for your academic major or minor, it is your responsibility to obtain approval from your academic department prior to beginning the project.
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