Good Systems

The rise of social media and the growing scale of online information has led to a surge of intentional disinformation and incidental misinformation. It is increasingly difficult to tell fact from fiction, and the challenge is more complex than simply differentiating fake news from simple facts.

Good Systems

This project investigated how data ethics can be a point of departure in designing and evaluating good systems, examining the contradictions and pressure points among various data practices. 

Good Systems

Artificial intelligence systems increasingly automate and assist people in making managerial and governance decisions. AI manages worker routines and tasks, determines how to distribute resources within cities, and assists in transportation management.

Good Systems

One of the main tasks of any city government is to keep infrastructure such as roads, signs, accessibility ramps, and sewers in perpetual working order. The first step of maintenance is the timely identification of a problem. However, many infrastructure defects are left undetected and unattended for long periods of time

Good Systems

The widespread use of service robots has been predicted to be just around the corner for decades. This project seeks to overcome the prevailing technical and social hurdles to deploying these robots by building and studying them in communities where they will be used rather than just in laboratories and warehouses.

Good Systems

Advances in AI are shaping the future of work, but how can we ensure that employees, organizations, and society will benefit from the changes? Instead of automating tasks, which can reduce or eliminate the need for human workers, this project seeks to design smart hand tools that have embedded sensing and AI.

Good Systems

The Austin History Center, the City of Austin, and UT Libraries maintain substantial collections of scanned maps, which are needed for historical reference when conducting research or planning new projects. Unfortunately, these scanned maps can be difficult to use due to the challenges involved with discovering, processing, and analyzing map images in their current digitized form.