Harnessing Data Science For Sustainable Environmental Development: A Path Toward Smarter Ecosystems

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A systems-oriented approach enhances sustainable development and climate adaptation using data science.
The framework employs machine learning and geospatial analysis to interpret complex environmental data.
Proposed applications include urban air quality detection, water stress mapping, and energy management analysis.
Considerations of uncertainty and governance reinforce the framework's applicability to real-world challenges.

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Proposed framework integrates data science and technology for climate mitigation and sustainable development.

Mahajan et al. (2025) studied this question.

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