Data Science for Sustainable Development Goals
Chapman & Hall/CRC (Verlag)
978-1-032-78131-0 (ISBN)
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The book presents real-life applications of Data Science and Big Data for Sustainable Development Goals. It includes a list of case studies from different regions across India. The book uses both structured and unstructured data like numeric data, textual data, video/image data, etc., across the various chapters for the analysis. It further delves into various data science techniques, starting from data collection on the ground in the unavailability of data to a dashboard, reporting, unsupervised methods like clustering, artificial intelligence, machine learning and deep learning, search or information retrieval, time series forecasting, optimisation, etc.
• Showcase data science decision-making processes, driving innovation, and solving complex problems in real-case scenarios from across sectors like finance, healthcare, and e-commerce.
• 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 SDG goals.
• Most of the data science use cases and initiatives projects covered in this book have been implemented by the 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, including concepts like classification, classification, regression, predictive analytics, optimisation, artificial intelligence, deep learning, time series forecasting, etc. 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. This 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.
Avik Sarkar is a Faculty at the Indian School of Business, working in the areas of Data, Emerging Technology and Public Policy. At ISB, Sarkar has headed the development of the India Data Portal, a one-stop portal for analyzing and visualizing government data and working on the societal & policy aspects related to emerging technologies like artificial intelligence trustworthiness, ethics, data privacy, e-commerce policy, etc. Sarkar was the former Head of the Data Analytics Cell and Officer on Special Duty (OSD) at NITI Aayog (National Institution for Transforming India Aayog), the premier policy think-tank of the Government of India. At NITI Aayog, Sarkar helped in developing India's first AI Strategy and roadmap for the use of data, analytics and artificial intelligence for Governance and policymaking across various sectors for India's inclusive growth and led efforts towards setting up the first High-Performance Computing based Data Analytics Lab and Energy Modeling Unit at NITI Aayog. Sarkar is a multiple TEDx speaker and was nominated among the "Top 10 Data Scientists in India" in 2017 by Analytics India Magazine and nominated as "LinkedIn Influencer" in the Technology space in 2015 for contribution and engaging discussions on the LinkedIn platform. Bappaditya Mukhopadhyay is currently a Professor in Economics and Finance at the Great Lakes Institute of Management and a visiting professor at the University of Ulm. Germany. He is also the Managing Editor of Journal of Infrastructure and Development apart from serving on the editorial boards of many peer reviewed journals. Director of the Business Analytics Program at Great Lakes Institute. He has been voted among the top ten Analytics Academician in India for the last few years and also featured among top 75 Academic data leaders globally. Mukhopadhyay obtained his PhD from Indian Statistical Institute in 2002 and has been a prolific researcher in Development Economics, Policy implementations, and Applied Machine Learning.
1. CM Relief Fund prediction—Right amount of funds at the right time for the right cause 2. Sustainable Development Goals (SDGs) India Index: Journey of its Making 3. Janata + Data: Making Data Science and Participatory Planning Come Alive 4. Using Big Data To Create Evidence-Based Design For Gram Panchayat Development Plan To Encourage Targeted Development 5. Enhancing Reader Engagement & Creating Interaction Through Data Analysis 6. Vidhan Sabha Proceeding Search – “Making Governance Transparent, In People’s Language” 7. Identifying and Rectifying Urban Bias in Allocation of Targets in Rural Skilling Program in Kerala 8. Managing, Predicting, And Preventing The Coronavirus Outbreak In Orissa: A Data For Good Initiative 9. Child Health Cluster Analytics In Maharashtra - Non Key Indicators Tell Key Stories 10. Using Data Analytics To Improve Students’ Performance 11. Determinants Of Placements In The Indian Skilling Ecosystem 12. Decision Support System For Sustainable Growth In The Agriculture Sector 13. Use Of Satellite Imagery And Analytics For Replacing Crop-Cutting Experiments For Agriculture Yields 14. Harnessing Technology To Create Smart Farms And Achieve Agricultural Progress: Case Studies Across India 15. Supporting Farmers Through Comprehensive Real-Time Agricultural Advisory Using Spatial Analytics 16. Long-Term Rainfall Forecasting Using Data Science 17. Sundarbans Mangrove Tigers: How they came to be camera-trapped and counted 18. Integrated Energy Modelling for India 19. Evaluation Study To Assess The Performance Of Sanitation Coverage In Selected States 20. Data-Driven Approach To Determine Distribution Centers In Pradhan Mantri Ujjwala Yojana 21. Smart Sanitation At Kumbh 2019 22. Approaching Sustainable Development in Andhra Pradesh through Managing its Water Resources 23. Using Drones To Map And Assess Road Quality In Rural Andhra Pradesh 24. Facial Recognition: Translating Algorithmic Promise into Safer, More Sustainable Indian Cities 25. Revamping City Surveillance Through Deep Learning & Artificial Intelligence 26. Location casting: Identifying demand clusters via big data
| Erscheint lt. Verlag | 18.6.2026 |
|---|---|
| Zusatzinfo | 5 Tables, black and white; 31 Line drawings, color; 5 Line drawings, black and white; 76 Halftones, color; 3 Halftones, black and white; 107 Illustrations, color; 8 Illustrations, black and white |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik | |
| Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie | |
| ISBN-10 | 1-032-78131-9 / 1032781319 |
| ISBN-13 | 978-1-032-78131-0 / 9781032781310 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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