Lessons Learned From Fatal Car Crash Data

Motor vehicle travel is a major means of transportation in the United States, yet for all its advantages, each year fatal motor vehicle crashes in the U.S. lead to an estimated societal burden of more than $230 billion from medical and other costs [1]. Motor vehicle crashes are also the leading cause of death for persons every age from 5 to 32 years old [2]. In this project, we deep dived into the fatal car crash records in the U.S. in year 2016, collected by National Highway Traffic Safety Administration (NHSTA) [3] and encoded using the government’s Fatality Analysis Reporting System. By wielding this dataset and related research, we developed an interactive essay trying to thoroughly explore the top risk factors that are highly correlated to fatal motor vehicle crashes.

To read the interactive essay in your web browser, visit here.

The report detailing our methodologies and poster summary of this project are also available.

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Snippets from the report:

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The Fall of The Simpsons

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PDF version.

This visualization is designed to show how the once most beloved TV show declined in its reputation and popularity over time and why this happened.

Tools used: Python matplotlib library for generating time series charts, Google Sheet for the heatmap, and Sketch to put together the visual design.

Quality control with statistical anomaly detection

While the leading edge 3D laser scanners provide accurate depiction of product geometries and allow for potentially more efficient detection of production faults, currently they are not used for quality monitoring due to lack of such frameworks. In this project I worked on a variety of statistical methods and algorithms that analyze the cloud data points generated from 3D scanners and detect production system failures.

Statistical quality control of point cloud dataslides

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Healthcare User-Centric Design

In this project at the Center for Human-Computer Interaction, I conducted research on innovative narrative analysis techniques based on 78,400 lines of interview scripts with emergency room nurses. The research outcome is used to identify faults in current hospital systems and user needs of healthcare practitioners.

Using Storytelling to Inform Design: Narrative Analysis of ER Stories

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