Data-Driven Environmental Risk Management and Sustainability Analytics

Abstract

This paper explores the intersection of data-driven approaches and environmental risk management, emphasizing the critical role of technology in enhancing sustainability. It provides a systematic review of current literature on public-private partnerships, data quality challenges, and innovative methodologies such as machine learning and Internet of Things (IoT) applications for environmental monitoring. Key themes include the integration of interoperable data platforms, the implications of big data on climate change, and the importance of fostering government policies that promote data sharing for sustainability initiatives. The analysis highlights best practices and recommendations for leveraging advanced analytics and remote sensing technologies to assess and mitigate environmental risks. Ultimately, this research underscores the necessity of collaborative efforts among stakeholders to develop effective strategies for sustainable resource management.