Description
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas.- Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery- Includes considerations sustainability analysts must evaluate when applying big data- Features case studies illustrating the application of data science in sustainability analyses
Table of Contents
I. Introduction1. Overview of Data Science and Sustainability Analysis and State of their Co-ApplicationII. Enironmental Health and Sustainability2. Applying AI for Conservation3. Water balance characterization4. Machine Learning in the Australian Critical ZoneIII. Energy and Water5. A Clustering Analysis of Energy and Water Consumption in U.S. States from 1985 to 20156. Energy footprint of big data evaluated with data science7. Solar PV rooftop disaprities by race and ethnicity in US8. Screening materials for solar pvIV. Sustainable Systems Analysis9. Machine Learning in life cycle analysis10. Industry sustainable supply chain management with data scienceV. Society and Policy11. Machine Learning to Inform Enhance Environmental Enforcement 12. Sociologically informed use of remote sensing data to predict rural household poverty13. Trade-offs Between Environmental and Social Indicators of SustainabilityVI. Conclusion14. Research and Development for Increased Application of Data Science in Sustainability analysis
