A new paper from the WCWH team explains how they’ve built a long-term, community-based health study — and why sharing the process matters.

Good Systems helped launch a national network of universities — a "community of practice" — committed to ethical AI. The group shares research, teaching strategies and policy ideas to ensure AI advances in a just and responsible way.

A new community-built portal is helping East Austin neighborhoods prepare for disasters, thanks to a Planet Texas 2050 collaboration that blends hyperlocal insight with cutting-edge climate data.

Good Systems is part of a growing alliance of tech, civic and academic partners working to shape the future of AI in Austin through ethics, education, policy and practical collaboration.

Whole Communities–Whole Health’s (WCWH) annual symposium kicked off with good vibes by recognizing seven outstanding community partners. The awards, presented in two categories, honor organizations and individuals whose dedication has been instrumental in advancing WCWH’s mission to build research collaborations that benefit Central Texas families.

Two research teams won rapid-turnaround grants at the 2025 Whole Communities–Whole Health Research Symposium for projects tackling health and environmental issues in Central Texas.

Building trust is at the heart of Whole Communities–Whole Health’s research. By returning data, listening to feedback and engaging families as collaborators, WCWH is strengthening community connections and refining approaches to long-term, community-based studies.

Experts in AI, the humanities, and ethics gathered at Johns Hopkins for the Ethical & Responsible AI University Collaborative to explore how academic institutions can guide AI development

Led by Planet Texas 2050's Dev Niyogi, the UT-City Climate CoLab — a collaborative effort between the city’s Offices of Sustainability and Resilience and researchers at UT — made significant strides in its first full year in 2024.

Planet Texas 2050’s RISE project uses cutting-edge tools, from acoustic sensors to AI, to monitor and protect the state's increasingly endangered ecosystems.