Apps and infrastructure we maintain across UVA studies. Each platform plugs into a shared backend — new capabilities added for one team become available to all.
Our mobile platform for sensing studies and interventions. Collects from wearables, surveys, and on-device sensors. iOS & Android.
Digital mental-health interventions for anxiety and well-being — delivered through the MAP Lab platform across multiple PI-led studies.
IoT, ambient, and environmental sensors plugged into studies — from indoor air to physical activity monitoring.
MAP Lab uses AI in participant-facing tools, researcher workflows, and the development and infrastructure work that makes studies possible.
Conversational agents, personalized interventions, and on-device models can help participants receive timely support while contributing data to research studies.
AI tools can help researchers monitor studies, interpret multimodal data, identify patterns, and work with dashboards and research workflows more efficiently.
We use AI-assisted development tools to help maintain secure Azure infrastructure, review code, improve developer workflows, and build shared services such as AI gateways that support research teams.
Bring us your research question or early-stage idea. We'll help explore how mobile technologies, sensing, or AI could move it forward.