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Minda Belete

Research Assistant Affiliation: NYU Abu Dhabi
Education: BA, Economics, New York University Abu Dhabi

Research Areas: Computational Social Science, Gender Price Gap, Gender Biases, Algorithmic Biases, Future of Work

Minda Belete completed his undergraduate degree in Economics from New York University Abu Dhabi in 2022. His undergraduate research focused on gender-based price disparity (pink tax). He developed a method to collect data from Amazon web stores automatically and used an algorithm to compare prices of comparable products targeted towards different genders. He also worked on automating data extraction from academic manuscripts and identifying biases in texts using computational tools like Python. His goal is to use these tools to deepen his understanding of gender biases.

Currently, as a research assistant for Professor Etienne Wasmer, Minda is working on automating data collection from Wikipedia, Wikidata, OpenStreetMap, and Google Maps using data mining techniques. He uses these techniques to extract unstructured data from the web and convert it into structured data easily readable by humans.

Research

Currently, as a research assistant for Professor Etienne Wasmer, I am working on automating data collection from Wikipedia, Wikidata, OpenStreetMap, and Google Maps using data mining techniques. I use these techniques to extract unstructured data from the web and convert it into structured data that is easily readable by humans.