International Journal of Science, Engineering and TechnologyAuthors: Suryansh Singhwal, Uruj Jaleel, Satish Kumar Soni
Abstract: The exponential growth of digital technologies has introduced a new dimension to environmental concerns: the digital carbon footprint. This research paper explores the intersection of environmental science and data analytics, examining how data science methodologies can be leveraged to measure, monitor, and mitigate the carbon emissions associated with digital infrastructure and activities. Through comprehensive analysis of data centers, network infrastructure, and end-user devices, this study demonstrates that the Information and Communication Technology (ICT) sector currently accounts for approximately 2-4% of global greenhouse gas emissions [1][2], with projections suggesting this could reach 14% by 2040 without intervention. We present a data-driven framework for carbon footprint assessment, incorporating machine learning algorithms for predictive modeling and optimization strategies. The findings reveal significant opportunities for emission reduction through improved energy efficiency, renewable energy integration, and optimized resource allocation. This research contributes to the growing field of environmental data science by providing actionable insights for organizations seeking to reduce their digital environmental impact while maintaining operational efficiency
