# Computational Process **Domain:** Computer Science & Operations Research **Doc Type:** Concept Node **Classification:** Infrastructure Concept **Maturity:** Foundational **Related:** [[Computational Architecture]], [[Computational Core]], [[Data Assimilation]], [[Control Theory]] --- ## Definition A **sequence of computational steps executed by a system to transform inputs into outputs**, including data acquisition, transformation, analysis, and result generation. Processes are characterized by their algorithms, data dependencies, and execution patterns. --- ## General Context Computational processes in computer science range from simple arithmetic operations to complex machine learning pipelines. Each process has defined inputs, algorithmic logic, and outputs; their composition and sequencing determine system behavior. --- ## Governance Context Governance processes—from environmental monitoring to resource allocation—are increasingly computational. See [[articles/climate-justice-meritocracy|How Reparative Justice Became Meritocracy, and Public Weather Data Became Private Risk Scores]] on how public weather processes became private risk calculations. --- ## Planetary Sensing Context Real-time environmental sensing involves continuous computational processes: calibration, quality control, interpolation, anomaly detection, and model assimilation. Each process introduces potential biases or systematic errors. --- ## Computational Governance Context Transparent computational processes enable external validation of governance claims. Proprietary processes obscure whether algorithmic choices favor specific populations or outcomes. --- ## Key Insight Process transparency is crucial for auditability—understanding what computations occur, in what order, and why specific algorithmic choices were made. Hidden or opaque processes prevent external validation. --- ## See Also [[Data Platforms]], [[Continuous Adaptive Management]], [[Coordination Systems]]