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Reducing Greenhouse Gas Emissions with Data Science

1 March 2021
Case Study
Publisher : MD Anderson Cancer Center

18581

This case study from Mosaic Data Science illustrates how data science can be effectively applied to reduce greenhouse gas emissions. It likely details a specific project where data analysis and machine learning techniques were used to identify key emission sources, optimize processes, and develop strategies for carbon reduction. The case study would demonstrate the practical application of data science in tackling climate change, providing insights into methodologies, challenges, and the measurable impact achieved through data-driven interventions in environmental sustainability efforts.

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Mosaic

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Key topics

Environmental Sustainability and Climate Action

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Systems Thinking and Complex Problem Design Technology for Social Change and Organisational Efficiency

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