Understanding the Present and Designing the Future of Risk Prediction IT in Fire Departments

An NSF-funded research project investigating how fire departments identify, translate, and manage risks – and how data-intensive technologies can transform emergency services.

What We Do

Fire departments across the U.S. are facing a growing challenge: 911 calls keep rising while budgets stay flat. Our project studies how fire personnel do risk work – the practices through which they assess, manage, and mitigate potential harms – and how emerging technologies can support this work responsibly.

Our Approach

Understand

  • Ethnographic fieldwork in fire departments
  • Document current risk work practices
  • Map data resources and workflows

Co-Design

  • Collaborate with fire department partners
  • Prototype data-intensive tools
  • Iterate on sociotechnical practices

Evaluate

  • Gather broad feedback from EMS personnel
  • Test prototypes at national conferences
  • Assess impact on future visions

Why It Matters

Emergency services are at an inflection point. New data tools offer enormous potential to prevent emergencies before they happen – like connecting opioid overdose patients to treatment to prevent recurrence. But these tools must be designed carefully to avoid unintended consequences for workers, work practices, and the communities they serve.

National Science Foundation Arizona State University George Mason University UC Irvine