Who Pays? New York State Political Donor Matching with Machine Learning

Author

Annalisa Wilde, The Graduate Center, City University of New YorkFollow

Date of Degree

6-2021

Document Type

Capstone Project

Degree Name

M.S.

Program

Data Analysis & Visualization

Advisor

Michelle McSweeney

Keywords

Deduplication, New York, Political Donors

Abstract

Starting with the publicly available data from the New York State Board of Elections, this project first explored the best data processing and algorithmic parameters by which to match the donors. Once an optimal algorithm was generated, the donors were matched in two separate groups: organizations and individuals. The database that stores the matched donors is a product also of this project, with the hope that it will be used by local reporters and advocacy organizations.

Recommended Citation

Wilde, Annalisa, "Who Pays? New York State Political Donor Matching with Machine Learning" (2021). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/4232