Blog

The School of Environment, Society & Sustainability (ESS) is expanding its leadership in AI-driven environmental and spatial data science through new faculty hires, academic programs, and research investments. With expertise spanning remote sensing, machine learning, and geospatial analytics, ESS supports cutting-edge research on climate impacts, natural hazards, and sustainability challenges. New undergraduate and master’s programs in Spatial Data Science are preparing students with in-demand AI and geospatial skills, reinforcing ESS’s long-term vision for innovation in research and education.

Join our upcoming AI Hackathon, a fast‑paced virtual event where participants from any discipline use AI tools to tackle real‑world problems. In just a few hours, you’ll collaborate, build, and explore how AI can drive practical impact.

Fatemeh Shah Mohammadi’s teams are using large language models to turn messy, unstructured health text into transparent, structured data that clinicians and researchers can trust. Their work enables earlier clinical risk detection and scalable, standardized metadata extraction, improving interoperability, reproducibility, and real‑world health insights.

Guidance for researchers on responsibly acknowledging AI assistance in manuscripts and presentations, with examples from major academic publishers and a reminder to always check evolving agency and journal requirements.

The Office of Artificial Intelligence hosted the AI at the U Forum, offering campus wide updates on teaching, research, policy, and infrastructure. This summary highlights new training opportunities, responsible‑use reminders, and the growing AI ecosystem at the University of Utah.