Data Analytics, Machine Learning, and IoT for Environmental Governance

Abstract

Effective environmental governance is crucial for addressing complex & interconnected environmental challenges of the 21st century. It requires collaboration of multiple sectors & integration of diverse perspectives to create resilient & sustainable societies. Organizations, governments, and NGOs need to adopt a collaborative approach to implement sustainable solutions for environmental governance. While governments are responsible for policymaking, NGOs excel in implementing these policies due to their strong connections with grassroots communities. Corporations play a critical role by leveraging their capital, technological resources, and research and development capabilities to address existing environmental challenges with sustainable solutions. The book chapter presents theoretical & practical insights regarding the use of Data Analytics, ML and IoT for environmental governance.