Analyzing Texas’s Border Report

Embodied A.I.

An exploration into the future of embodied artificial intelligence through product design.

Key highlights:

Investigated the intersection of physical form and artificial intelligence
Developed innovative product concepts for human-AI interaction
Created detailed prototypes and renderings using various design tools

Technologies Used:

Rhino
Adobe Photoshop
Adobe Illustrator
Excalidraw
Dall-E

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Analyzing Texas's Border Report

This analysis investigates the Texas Department of Public Safety’s (TDPS) Border Report data (2017–2023) to understand accessibility, completeness, and trends. This work was inspired by ProPublica’s investigation into the U.S./Mexico border crisis and controversies around Operation Lone Star.

Key highlights:

TDPS Border Report data is hard to access and requires advanced skills to analyze.
Only 49% of the data is complete, with many agencies struggling to adopt the FBI’s new National Incident-Based Reporting System (NIBRS).
Larceny-theft and assault dominate reported crimes, while human trafficking appears to be severely underreported.
Data gaps and reporting inconsistencies limit conclusions about border conditions.

Technologies Used:

Python (pandas, numpy geopandas, shapely)
seaborn, matplotlib for data visualization

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