Data Driven Look at Fast Fashion and its Environmental and Social Toll

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Authors: Badri Aiman Khan Badrul Zeman Khan
Cited by: 0

Abstract

This project explores how the fast fashion industry drives environmental degradation while reinforcing gender and economic inequalities, particularly in low-income countries where garment workers are predominantly women. As a data scientist and international student from the global south, I created visualizations that expose how companies like Uniqlo and H&M consume vast amounts of water and emit high levels of carbon, harms that are concentrated in vulnerable communities. By connecting environmental science with issues of labor injustice, this work highlights how social and environmental harms are deeply intertwined. Our goal is to make these invisible costs visible and push for more inclusive, ethical approaches to global consumerism.

Fields of Study & Subjects

Software Engineering and Design Patterns Fashion and Cultural Textiles Global trade sustainability and social impact

Publication details

Publication date
12 March 2026
Language
EN