ABSTRACT
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 https://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 the Great Lakes Institute of Management, Gurgaon Campus, Delhi NCR, India.
TABLE OF CONTENTS
section Section I|44 pages
Planning and Governance
chapter 1|7 pages
CM Relief Fund prediction – The Right Amount of Funds at the Right Time for the Right Cause
chapter 4|6 pages
Using Big Data to Create an Evidence-Based Design for a Gram Panchayat Development Plan to Encourage Targeted Development
chapter 6|6 pages
Vidhan Sabha Proceeding Search – “Making Governance Transparent, in People's Language”
section Section II|37 pages
Human Capital
chapter 7|4 pages
Identifying and Rectifying Urban Bias in Allocation of Targets in Rural Skilling Program in Kerala
chapter 8|5 pages
Managing, Predicting, and Preventing the Coronavirus Outbreak in Orissa
chapter 9|6 pages
Child Health Cluster Analytics in Maharashtra – Non–Key Indicators Tell Key Stories
section Section III|42 pages
Agriculture, Climate and Environment
chapter 13|7 pages
Use of Satellite Imagery and Analytics for Replacing Crop-Cutting Experiments for Agricultural Yields
chapter 14|5 pages
Harnessing Technology to Create Smart Farms and Achieve Agricultural Progress
chapter 15|7 pages
Supporting Farmers through Comprehensive Real-Time Agricultural Advisories Using Spatial Analytics
section Section IV|44 pages
Energy, Water and Sanitation
chapter 19|8 pages
Evaluation Study to Assess the Performance of Sanitation Coverage in Selected States
chapter 20|5 pages
Data-Driven Approach to Determine Distribution Centres in Pradhan Mantri Ujjwala Yojana
chapter 22|15 pages
Approaching Sustainable Development in Andhra Pradesh through Managing Its Water Resources
section Section V|28 pages
Smart City and Urban Development
