Special Issue on the Workshop on Measurements, Modeling, and Metrics for Carbon-Aware Computing (CarbonMetrics 2026)

As computing becomes increasingly pervasive-powering everything from large-scale data analytics to AI-driven applications-its energy consumption and carbon footprint continue to grow at an alarming rate. Addressing this challenge requires rigorous, quantitative frameworks that enable the community to measure, model, and reduce carbon emissions at every layer of the computing stack, as well as in the electricity and energy systems that supply it. By developing robust methodologies and well-defined metrics, researchers and practitioners can pinpoint the most impactful interventions, create scalable solutions, and meaningfully track progress toward reducing global emissions.