Carbon Tracking

Carbon tracking focuses on accurately measuring and monitoring carbon dioxide emissions from various sources to inform mitigation strategies and achieve sustainability goals. Current research emphasizes developing sophisticated models, often leveraging artificial intelligence and machine learning techniques like graph neural networks and deep learning, to estimate emissions from sectors such as transportation and to quantify the carbon footprint of computationally intensive processes like federated learning. These advancements improve the accuracy and efficiency of carbon accounting, providing crucial data for policymakers and researchers working to reduce greenhouse gas emissions and promote environmentally responsible practices.