Data-Driven Approaches to Equitable Green Innovation Bridging Sustainability and Inclusivity

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Author(s): Sudheer Panyaram (Amplifycelltech, USA)and Muniraju Hullurappa (System Soft Technologies, USA)
Copyright: 2025
Pages: 14
Source title: Advancing Social Equity Through Accessible Green Innovation
Source Author(s)/Editor(s): P. William (Sanjivani College of Engineering, India)and Shrikaant Kulkarni (Sanjivani University, India & Victorian Institute of Technology, Australia)
DOI: 10.4018/979-8-3693-9471-7.ch009

Keywords: Civic Engagement & Social Justice / Engineering Science Reference / Environmental Science and Technologies / Social Sciences & Humanities

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Abstract

The integration of data analytics into green innovation offers a transformative approach to achieving sustainability while ensuring equity and inclusivity. This chapter investigates how data-driven methodologies can enhance environmental practices, optimize resource allocation, and promote transparency across industries. By utilizing predictive analytics, optimization algorithms, and real-time monitoring, organizations can address critical challenges in sustainable development, including reducing waste, minimizing carbon footprints, and ensuring fair resource distribution. The chapter also discusses potential obstacles, such as biases in data models and privacy concerns, proposing actionable strategies to overcome these issues. Through case studies and practical insights, it highlights the potential of data analytics to drive equitable green innovation, laying the groundwork for a sustainable and inclusive future.

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