The field of sustainable computing is rapidly evolving, with a growing focus on reducing energy consumption, water usage, and carbon emissions. Researchers are developing innovative frameworks and tools to assess and mitigate the environmental impact of computing systems. A key direction is the integration of sustainability metrics into system design and operation, enabling informed decisions about resource allocation and optimization. Another area of advancement is the development of probabilistic models to account for uncertainties in embodied carbon footprints and energy consumption. Notable papers include: CarbonClarity, which introduces a probabilistic framework for modeling embodied carbon footprints, and the Green Metrics Tool, which provides a novel framework for measuring software resource consumption. Additionally, the SCARF framework evaluates water impact of computing by factoring in spatial and temporal variations in water stress, and the Data-Driven Power Modeling approach achieves high accuracy and low overhead in power consumption assessments.