Our Work Is Local, but Our Impact Is Global

Seeks to build AI systems that will link city datasets to improve the design, development, and management of smart cities, using the City of Austin as a model.

Powering knowledge-driven resilience action with intelligent, integrated models and user-oriented tools.

Builds technical, legal, and social approaches to maximize the trusted use of camera-generated video data

The DataX and Model INTegration components of the PT2050 program aim to design and build data systems and integrated modeling capabilities that connect with leading edge, high performance computing facilities. The cyberinfrastructure research prioritizes the development of compute capabilities such that technology is reusable, scalable, and understandable by non-traditional advanced computing user groups and continues to be helpful to advanced HPC users in the PT2050 community.  Core services for data and models are designed to meet operational levels that are reliable for researchers with 24/7 technical support.  

In 2023, Good Systems established cross-cutting themes to build bridges across its six core research projects and launch new lines of inquiry in the field of ethical AI: alignment and safety; knowledge, generative AI and power; and work at the human-AI frontier.

Explores fairness in AI-based systems and seeks to design and implement solutions in the areas of public administration, transportation, and health.

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.

Reimagining more equitable and resource-efficient metropolitan areas while safeguarding the food, fiber, fuel, and water that people and the planet depend on.  

Partnering with frontline communities to research and identify youth experiences with, and responses to, environmental shocks and stressors.

Preliminary findings suggest that the pandemic has resulted in changes in the frequency of health behaviors. The lessons learned from this research will be incorporated in the broader Whole Communities–Whole Health cohort study with input from potential participants and community members.