Data Science for Sustainable Development Goals
This book presents real-life applications of data science, artificial intelligence, and big data for the Sustainable Development Goals. It includes a list of case studies from different states across India. The case studies in the book use both structured and unstructured data like numeric data, tex...
محفوظ في:
| التنسيق: | Online |
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| اللغة: | الإنجليزية |
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CRC Press
2026
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20260605T151935_9781040509708_4 |
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| _version_ | 1869519912500723712 |
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| collection | Directory of Open Access Books |
| description | This book presents real-life applications of data science, artificial intelligence, and big data for the Sustainable Development Goals. It includes a list of case studies from different states across India. The case studies in the book use both structured and unstructured data like numeric data, textual data, and video/image data across the various chapters for analysis. It explores various aspects of data science starting from on ground data collection to dashboard based reporting, unsupervised methods like clustering for grouping data points, use of artificial intelligence, machine learning and deep learning, search or information retrieval, time series forecasting, and optimization. • It showcases data science decision-making processes, driving innovation, and solving complex problems in real-life scenarios across sectors like governance, education, healthcare agriculture and sanitation. • The SDGs provide a framework for societal development and well-being for all; the data science and big data interventions in this book are aligned towards mapping the various SDGs. • Most of the data science use cases and initiative projects covered in this book have been implemented by central or state governments across different states of India. • Shows how data science intervention can transform the social sector, potentially driving positive change and addressing critical societal challenges. • Explained the fundamentals of data science theories with case studies, including concepts like classification, regression, predictive analytics, optimization, artificial intelligence, deep learning, and time series forecasting for readers of different disciplines. It serves as a valuable reference for graduate students, researchers, and scholars seeking to deepen their knowledge and engage with real life applications of data science. It will also serve as a valuable resource for government officers and policy practitioners, providing a range of cases on the use of data-based methods for improving governance and policy making. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license funded by by the Great Lakes Institute of Management, Gurgaon Campus, Delhi NCR, India. |
| format | Online |
| id | doab-20.500.12854ir-177259 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | CRC Press |
| publisherStr | CRC Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1772592026-06-06T05:48:50Z Data Science for Sustainable Development Goals Sarkar, Avik Mukhopadhyay, Bappaditya Public sector analytics Social impact measurement Machine learning applications Participatory planning methods Predictive modeling techniques Spatial data analysis Data-driven policy implementation in India thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::U Computing and Information Technology::UN Databases::UNA Database design and theory thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government::JPQB Central / national / federal government policies This book presents real-life applications of data science, artificial intelligence, and big data for the Sustainable Development Goals. It includes a list of case studies from different states across India. The case studies in the book use both structured and unstructured data like numeric data, textual data, and video/image data across the various chapters for analysis. It explores various aspects of data science starting from on ground data collection to dashboard based reporting, unsupervised methods like clustering for grouping data points, use of artificial intelligence, machine learning and deep learning, search or information retrieval, time series forecasting, and optimization. • It showcases data science decision-making processes, driving innovation, and solving complex problems in real-life scenarios across sectors like governance, education, healthcare agriculture and sanitation. • The SDGs provide a framework for societal development and well-being for all; the data science and big data interventions in this book are aligned towards mapping the various SDGs. • Most of the data science use cases and initiative projects covered in this book have been implemented by central or state governments across different states of India. • Shows how data science intervention can transform the social sector, potentially driving positive change and addressing critical societal challenges. • Explained the fundamentals of data science theories with case studies, including concepts like classification, regression, predictive analytics, optimization, artificial intelligence, deep learning, and time series forecasting for readers of different disciplines. It serves as a valuable reference for graduate students, researchers, and scholars seeking to deepen their knowledge and engage with real life applications of data science. It will also serve as a valuable resource for government officers and policy practitioners, providing a range of cases on the use of data-based methods for improving governance and policy making. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license funded by by the Great Lakes Institute of Management, Gurgaon Campus, Delhi NCR, India. 2026-06-06T05:48:47Z 2026-06-06T05:48:47Z 2026-06-05T14:16:14Z 2026 book book ONIX_20260605T151935_9781040509708_4 https://library.oapen.org/handle/20.500.12657/113967 9781040509708 9781003487531 9781040639559 https://directory.doabooks.org/handle/20.500.12854/177259 eng open access image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/113967/1/9781040509708.pdf CRC Press Chapman and Hall/CRC 10.1201/9781003487531 10.1201/9781003487531 82beefe5-482e-4277-9971-e4ee0480a152 9781040509708 9781003487531 9781040639559 Chapman and Hall/CRC 238 open access |
| spellingShingle | Public sector analytics Social impact measurement Machine learning applications Participatory planning methods Predictive modeling techniques Spatial data analysis Data-driven policy implementation in India thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::U Computing and Information Technology::UN Databases::UNA Database design and theory thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government::JPQB Central / national / federal government policies Data Science for Sustainable Development Goals |
| title | Data Science for Sustainable Development Goals |
| title_full | Data Science for Sustainable Development Goals |
| title_fullStr | Data Science for Sustainable Development Goals |
| title_full_unstemmed | Data Science for Sustainable Development Goals |
| title_short | Data Science for Sustainable Development Goals |
| title_sort | data science for sustainable development goals |
| topic | Public sector analytics Social impact measurement Machine learning applications Participatory planning methods Predictive modeling techniques Spatial data analysis Data-driven policy implementation in India thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::U Computing and Information Technology::UN Databases::UNA Database design and theory thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government::JPQB Central / national / federal government policies |
| topic_facet | Public sector analytics Social impact measurement Machine learning applications Participatory planning methods Predictive modeling techniques Spatial data analysis Data-driven policy implementation in India thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::U Computing and Information Technology::UN Databases::UNA Database design and theory thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government::JPQB Central / national / federal government policies |
| url | ONIX_20260605T151935_9781040509708_4 |