rezyliencj

Rezyliencj is a theoretical construct used in the study of resilience within complex systems. It denotes a normalized, composite score that captures both the resistance to a disturbance and the speed and extent of recovery of a system’s performance after disruption.

The term was coined in 2023 by a cross-disciplinary team of ecologists, engineers, and data scientists. It blends the concept of resilience with a distinctive suffix to emphasize its quantitative, model-oriented character and its suitability for comparative analysis across domains.

Calculation and interpretation: Rezyliencj is derived from time-series data of a defined performance metric, normalized to a baseline value of 1. It reflects how deeply a system is affected, how quickly it approaches baseline, and how stable the recovery is over a defined window. In practice, researchers report rezyliencj as a value between 0 and 1, where 1 indicates immediate, complete recovery and 0 indicates severe, enduring impairment. The score is often computed alongside domain-specific baselines and recovery horizons to enable meaningful comparisons.

Applications: The concept has been explored in ecological networks, electrical grids, transportation systems, supply chains, and software platforms. It is used to compare configurations, policies, or interventions in terms of their impact on post-disturbance performance and recovery pace.

Limitations and reception: There is no universally accepted standard for baseline selection, disturbance characterization, or recovery horizon, which can lead to inconsistent scores across studies. Data quality, sampling frequency, and metric choice strongly influence outcomes, prompting calls for standardization and cross-domain benchmarks.

See also resilience, robustness, risk assessment.