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.

chapter |18 pages

Introduction

Title
Size: 0.52 MB

section Section I|44 pages

Planning and Governance

Title

chapter 2|6 pages

Sustainable Development Goals: India Index

Title
The Journey of Creating It
Size: 0.28 MB

chapter 3|8 pages

Janata + Data

Title
Making Data Science and Participatory Planning Come Alive
Size: 0.43 MB

section Section II|37 pages

Human Capital

Title

chapter 8|5 pages

Managing, Predicting, and Preventing the Coronavirus Outbreak in Orissa

Title
A Data for Good Initiative
Size: 0.60 MB
Size: 1.71 MB
Size: 0.77 MB

section Section III|42 pages

Agriculture, Climate and Environment

Title
Size: 0.26 MB
Size: 0.70 MB

chapter 17|5 pages

Sundarbans Mangrove Tigers

Title
How They Came to Be Camera-Trapped and Counted
Size: 0.57 MB

section Section IV|44 pages

Energy, Water and Sanitation

Title
Size: 0.71 MB

chapter 21|6 pages

Smart Sanitation at Kumbh 2019

Title
Size: 0.51 MB

section Section V|28 pages

Smart City and Urban Development

Title
Size: 1.64 MB

chapter 24|6 pages

Facial Recognition

Title
Translating Algorithmic Promise into Safer, More Sustainable Indian Cities
Size: 0.27 MB

chapter 26|6 pages

Location Casting

Title
Identifying Demand Clusters via Big Data
Size: 0.55 MB