University of North Dakota (UND)
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Identifying Pain Points in Wildfire Detection and Management: Insights from Governmental Firefighting Agencies

Open
Bayes Studio
Bayes Studio
Vancouver, British Columbia, Canada
Maryam KheirmandParizi
Maryam KheirmandParizi She / Her
Operation Manager
(1)
4
Project
Academic experience
120 hours per learner
Learner
Anywhere
Intermediate level

Project scope

Categories
Data analysis Communications Operations Customer segmentation Environmental sustainability
Skills
recruitment planning scheduling management innovation microsoft powerpoint new product development artificial intelligence
Details

The goal of this project is to gain actionable insights into the operational, technological, and resource-related pain points faced by governmental firefighting agencies in wildfire detection and management. By engaging directly with key stakeholders through interviews, the project aims to uncover critical challenges and gaps, enabling Bayes Studio to develop and tailor innovative AI-driven solutions that enhance wildfire monitoring, response efficiency, and community safety.

Deliverables

Expected Outcomes

  • A detailed identification of operational, technological, and resource-related pain points faced by firefighting governmental agencies in wildfire detection and management.
  • Comprehensive insights that inform Bayes Studio’s development of AI-driven solutions tailored to the needs of firefighting agencies.
  • Strengthened relationships with firefighting agencies and increased understanding of their requirements and expectations.


Expected Deliverables

  • A structured set of questions designed to uncover pain points, challenges, and opportunities in wildfire detection and management.
  • A detailed list of potential interview participants, including their roles, organizations, and contact details, with justification for their inclusion.
  • A documented plan for approaching, recruiting, and scheduling interviews with selected participants.
  • Recordings (with consent) and/or detailed notes from each interview session, ensuring accurate data for analysis.
  • A comprehensive report summarizing findings from the interviews, including themes, challenges, and potential gaps.
  • A visual presentation (e.g., PowerPoint or equivalent) summarizing key findings, problem statements, and proposed solutions or recommendations.
  • A formal written report outlining: Key pain points identified; Proposed solutions or improvements; Implications for Bayes Studio’s strategy and product development;
  • A collection of all project materials, including raw data (transcripts, recordings), interview guides, recruitment plans, and final deliverables, organized for future reference.
Mentorship
Regular meetings

Scheduled check-ins to discuss progress, address challenges, and provide feedback.

Supported causes
Climate action

About the company

Company
https://bayesstudio.com
Vancouver, British Columbia, Canada
2 - 10 employees
Environment, It & computing, Technology
Representation
Minority-Owned Women-Owned BIPOC-Owned Small Business Youth-Owned
+ 1

Bayes Studio leads in technological innovation, offering advanced AI solutions integrated with SaaS and IoT frameworks. Harnessing the power of advanced artificial intelligence, our technology leverages satellite data and a comprehensive multispectral sensor system, including cameras, thermal imaging, and smoke detectors, to provide unparalleled environmental monitoring solutions.

Our unique approach is carefully designed to meet the intricate challenges of detecting and managing wildfires with unparalleled precision. By providing reliable and prompt alerts with a near-zero false positive rate, we empower stakeholders from government bodies to private sector players to make swift, informed decisions that save lives and preserve resources.