The study presents an assessment of human resource potential in a fire-technical research organization within the Russian Emergencies Ministry, based on a pilot dataset for 2022–2024 (64 full-time staff, 6 structural units, 118 completed outputs per year, and a personnel reserve of 28). The framework applies a set of metrics: Ksht for staffing adequacy in high-criticality outputs, Cqual for education-to-R&D thematic alignment, L for operational workload derived from a process register, W for reserve effectiveness measured by actual appointments and promotions, and territorial demand indices to distribute workload across units. The results indicate Cqual = 0.64 and L = 1.32, reflecting a mismatch between competency profiles and the volume of regulated procedures. Data-intensive outputs (modelling and large-scale fire statistics processing) account for 0.23 of the portfolio, while the corresponding specialist share equals 0.09. Reserve effectiveness reaches W = 42.9%, exceeding the 40% threshold. The recommendations focus on digital workload planning, targeted recruitment for modelling and data functions, and project-based reserve assignments supported by formal development tracks.
Sergey Taranov (Mon,) studied this question.