From Weather to Wildfire:  Lessons for Building a New Wildfire Intelligence Capability

Written By JR Washebek

By JR Washebek and Reed Van Beveren

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As wildfire seasons become "wildfire years," the urgency to move from fragmented research, data, and analytics to integrated operational intelligence has never been higher. Over its 155 year history, the National Weather Service (“NWS”) has evolved into a preeminent example of how to deliver an operational environmental intelligence capability. The NWS informs countless decisions at the individual, organizational, and governmental levels through its dedicated network of professionals. As we move toward a national approach to wildfire intelligence, the NWS reveals what it takes to build a public-facing intelligence enterprise. In this case study, we identify where NWS is and is not a useful precedent and share eight lessons from the NWS for wildfire intelligence:

  1. Integration authority must be established early. 

  2. Build the connective layer, not a single system. 

  3. Adopt and operationalize before developing from scratch. 

  4. Embrace and communicate uncertainty. 

  5. Hire translators, not specialists. 

  6. Design for the least-capable partner, not the most capable. 

  7. Plan for iteration, measure against outcomes. 

  8. Build a professional identity. 

JR Washebek

JR works on emergent problems at the nexus of AI, environment, and society, focusing on projects designed to navigate the conflict between immediate needs and long-term ecological health. Her current portfolio includes research on environmental ethics and AI alignment, cultivating modern skills for ecological management workforces, evolving environmental literacy at all levels to include deep understanding of AI, digital twins, sensor networks, distributed technologies like blockchain, and robotics, and understanding the changing nature of federalism. These interconnected focus areas reflect her belief that environmental challenges require technological innovation, workforce adaptation, and governance evolution working in concert. JR is an effective facilitator with digital savvy, bringing together diverse interdisciplinary teams of humans and machines to achieve breakthrough results. She translates complex systems insights into actionable approaches, leveraging her background in how people think, learn, and interact with technology to design systems that actually work in real-world institutional contexts.

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