Data-Driven Insights and Analytics for Measurable Sustainable Development Goals
- 1st Edition - July 24, 2025
- Latest edition
- Editors: Tilottama Goswami, Sonal Mobar Roy, Sabrina Senatore
- Language: English
Data-Driven Insights and Analytics for Measurable Sustainable Development Goals discusses the growing imperative to understand, measure, and guide actions using data-driven insigh… Read more
World Book Day celebration
Where learning shapes lives
Up to 25% off trusted resources that support research, study, and discovery.
Description
Description
Data-Driven Insights and Analytics for Measurable Sustainable Development Goals discusses the growing imperative to understand, measure, and guide actions using data-driven insights. The SDGs encompass a broad spectrum of global challenges, from eradicating poverty and hunger to preserving the environment and fostering peace. To address these issues, one should be able to measure and analyze progress. This book bridges the gap between qualitative and quantitative assessments, recognizing that goals are not solely about numbers but also encompass complex social, environmental, and economic dynamics. By merging data science with qualitative analysis, readers can explore how SDGs intersect and influence each other.
The book provides readers with an understanding of how to effectively leverage data science models and algorithms using descriptive analytics, allowing us to assess the current state of SDG performance and offering valuable insights into where we stand on these critical goals. Prescriptive analytics guides actions by offering actionable recommendations, while predictive analytics anticipates future trends and challenges, helping us navigate our path toward the SDGs effectively.
The book provides readers with an understanding of how to effectively leverage data science models and algorithms using descriptive analytics, allowing us to assess the current state of SDG performance and offering valuable insights into where we stand on these critical goals. Prescriptive analytics guides actions by offering actionable recommendations, while predictive analytics anticipates future trends and challenges, helping us navigate our path toward the SDGs effectively.
Key features
Key features
- Demonstrates how data can be used to measure human well-being and address issues such as poverty, hunger, health, and education
- Explains how data science can provide insights into sustainable practices, reduce waste, and protect natural resources
- Provides readers with practical guidance on how to approach and solve complex data analysis problems using descriptive, predictive, and prescriptive modeling and analytics
Readership
Readership
Computer Science researchers, data science researchers, and data analysis researchers in academia and industry. The primary audience also includes researchers and professionals in the fields of social science, environmental science, engineers, and policy/decision makers
Table of contents
Table of contents
Part I: People
1. No Poverty
Understanding poverty as a global challenge
Global indicators to estimate well-being od population
Strategies for eradicating poverty
Case studies of poverty alleviation programs
Rural tourism/Domestic tourism, providing jobs in non
Agricultural sector and simultaneously contributing to preservation of culture and environment
2: Zero Hunger
Ensuring food security for all
Nutrition Data Analysis: assess the nutritional content of available food and ensure that it meets the dietary needs of vulnerable populations
Sustainable agriculture and hunger eradication
Policy for Food Waste Reduction
Hunger-related issues and solutions
Green revolution, biotechnology, sustainable agriculture to prevent degradation of soil and food quality
3. Good Health and Well-being
Access to healthcare services (ICDS)
Disease prevention and promotion of well-being
Healthcare disparities and global health initiatives
Epidemiological Modelling for diseases control
Environmental toxicology, Environmental fate modelling of pollutants
Part II: Planet
4. Clean Water and Sanitation
Ensuring access to clean water and sanitation
Predictive Modelling for Water Scarcity
Water conservation and responsible use
Remote sensing and satellite data for water resource management
Addressing water-related challenges worldwide
Cleaning up of rivers and oceans, microbes to clean up oil spills, rainwater harvesting, drinking water treatment, transportation of water as a resource in cities
Decentralized Wastewater Treatment System, Septic Tanks, focusing on treating wastewater at personal level rather than accumulating and discharging in water bodies and then spend energy on cleaning water bodies (stopping at source)
Availability of Water ATMs
5. Affordable and Clean Energy
Transitioning to clean and affordable energy sources
Renewable energy solutions
Energy efficiency and access to energy
Smart Grids and Energy Management
Biogas, Waste to Energy conversion, Biodiesel, Generation of energy from food/Agri waste (Bagasse), Hydrogen powered, electric vehicles, CNG
6. Climate Action
Mitigating climate change and its impacts
Data-Driven Climate Monitoring, Modelling and Prevision
National Ambient Air Quality Standards (NAAQS) and Air Quality Index (AQI)
Transitioning to a low-carbon economy G20 Summit, New Delhi initiatives
Climate adaptation and resilience (by data analytics) Part III: Prosperity
7. Quality Education
Ensuring inclusive and equitable education
Innovative educational approaches for inclusive learning
Adaptive learning platforms for customized education
Challenges to quality education and solutions
Data-driven approaches in promoting learning and upskilling
Accessibility of quality education, for all sectors
Inclusivity, adaptability and safety of weaker sections (gender, ethnicity, caste, poverty) by educational institutions
8. Decent Work and Economic Growth
Promoting economic growth and job creation
Supporting small and medium-sized enterprises (SMEs)
Data analysis and prevision for customer segmentation, market analysis, and optimized supply chains to support the growth of small and medium-sized enterprises
Inclusive economic development
Data-Driven Economic Forecasting and Impact of Economic Policies
Equality vs Equity
Workplaces for Women in STEM, future for women in male dominated fields, pay gap, inclusive workplace and opportunities for all other minor sections
9. Industry, Innovation, and Infrastructure
Building sustainable infrastructure
Data-driven infrastructure planning and Environmental Impact Assessment
Smart Cities Mission
Environmental Clearance for industries
Energy efficient building materials
Encouraging innovation for sustainable development
Role of infrastructure in economic growth
Data analysis of infrastructure investment to define best strategies Innovation
Part IV: Peace
10. Reduced Inequality
Strategies for reducing inequality within societies
Inclusive policies and social justice
Overcoming barriers to equality
11. Sustainable Cities and Communities
Creating sustainable urban environments
Smart cities solution: IoT-based sensing and real-time data analysis
Local governance and community engagement
Urban challenges and solutions - Real-time traffic data analysis
Crime Prevention and Safety
Green Buildings, GRIHA, LEED, Building as a System, HVAC, passive design strategies, Vernacular Architecture
12. Peace, Justice, and Strong Institutions
Promoting peace, justice, and strong institutions
Rule of law and access to justice
Combating corruption and ensuring accountability
Role of UN
Part V: Partnership
13. Partnerships for the Goals
The importance of collaboration and partnerships
Global cooperation for sustainable development
Case studies and best practices of successful partnerships
PPP - Public Private Partnerships
1. No Poverty
Understanding poverty as a global challenge
Global indicators to estimate well-being od population
Strategies for eradicating poverty
Case studies of poverty alleviation programs
Rural tourism/Domestic tourism, providing jobs in non
Agricultural sector and simultaneously contributing to preservation of culture and environment
2: Zero Hunger
Ensuring food security for all
Nutrition Data Analysis: assess the nutritional content of available food and ensure that it meets the dietary needs of vulnerable populations
Sustainable agriculture and hunger eradication
Policy for Food Waste Reduction
Hunger-related issues and solutions
Green revolution, biotechnology, sustainable agriculture to prevent degradation of soil and food quality
3. Good Health and Well-being
Access to healthcare services (ICDS)
Disease prevention and promotion of well-being
Healthcare disparities and global health initiatives
Epidemiological Modelling for diseases control
Environmental toxicology, Environmental fate modelling of pollutants
Part II: Planet
4. Clean Water and Sanitation
Ensuring access to clean water and sanitation
Predictive Modelling for Water Scarcity
Water conservation and responsible use
Remote sensing and satellite data for water resource management
Addressing water-related challenges worldwide
Cleaning up of rivers and oceans, microbes to clean up oil spills, rainwater harvesting, drinking water treatment, transportation of water as a resource in cities
Decentralized Wastewater Treatment System, Septic Tanks, focusing on treating wastewater at personal level rather than accumulating and discharging in water bodies and then spend energy on cleaning water bodies (stopping at source)
Availability of Water ATMs
5. Affordable and Clean Energy
Transitioning to clean and affordable energy sources
Renewable energy solutions
Energy efficiency and access to energy
Smart Grids and Energy Management
Biogas, Waste to Energy conversion, Biodiesel, Generation of energy from food/Agri waste (Bagasse), Hydrogen powered, electric vehicles, CNG
6. Climate Action
Mitigating climate change and its impacts
Data-Driven Climate Monitoring, Modelling and Prevision
National Ambient Air Quality Standards (NAAQS) and Air Quality Index (AQI)
Transitioning to a low-carbon economy G20 Summit, New Delhi initiatives
Climate adaptation and resilience (by data analytics) Part III: Prosperity
7. Quality Education
Ensuring inclusive and equitable education
Innovative educational approaches for inclusive learning
Adaptive learning platforms for customized education
Challenges to quality education and solutions
Data-driven approaches in promoting learning and upskilling
Accessibility of quality education, for all sectors
Inclusivity, adaptability and safety of weaker sections (gender, ethnicity, caste, poverty) by educational institutions
8. Decent Work and Economic Growth
Promoting economic growth and job creation
Supporting small and medium-sized enterprises (SMEs)
Data analysis and prevision for customer segmentation, market analysis, and optimized supply chains to support the growth of small and medium-sized enterprises
Inclusive economic development
Data-Driven Economic Forecasting and Impact of Economic Policies
Equality vs Equity
Workplaces for Women in STEM, future for women in male dominated fields, pay gap, inclusive workplace and opportunities for all other minor sections
9. Industry, Innovation, and Infrastructure
Building sustainable infrastructure
Data-driven infrastructure planning and Environmental Impact Assessment
Smart Cities Mission
Environmental Clearance for industries
Energy efficient building materials
Encouraging innovation for sustainable development
Role of infrastructure in economic growth
Data analysis of infrastructure investment to define best strategies Innovation
Part IV: Peace
10. Reduced Inequality
Strategies for reducing inequality within societies
Inclusive policies and social justice
Overcoming barriers to equality
11. Sustainable Cities and Communities
Creating sustainable urban environments
Smart cities solution: IoT-based sensing and real-time data analysis
Local governance and community engagement
Urban challenges and solutions - Real-time traffic data analysis
Crime Prevention and Safety
Green Buildings, GRIHA, LEED, Building as a System, HVAC, passive design strategies, Vernacular Architecture
12. Peace, Justice, and Strong Institutions
Promoting peace, justice, and strong institutions
Rule of law and access to justice
Combating corruption and ensuring accountability
Role of UN
Part V: Partnership
13. Partnerships for the Goals
The importance of collaboration and partnerships
Global cooperation for sustainable development
Case studies and best practices of successful partnerships
PPP - Public Private Partnerships
Product details
Product details
- Edition: 1
- Latest edition
- Published: July 24, 2025
- Language: English
About the editors
About the editors
TG
Tilottama Goswami
Tilottama Goswami has received a BE degree with Honors in Computer Science and Engineering from the National Institute of Technology, Durgapur; and an MS degree in Computer Science (High Distinction) from Rivier University, Nashua, New Hampshire, United States. She was awarded a PhD in Computer Science from the University of Hyderabad. Presently, Dr. Goswami is Professor in the Department of Information Technology, Vasavi College of Engineering, Hyderabad, India. She has, overall, 23 years of experience in academia, research, and the IT industry. Her research interests are computer vision, machine learning, and image processing. She has been granted an Australian patent for her research work. Dr. Goswami has been conferred with the Distinguished Scientist Award by IJIEMR-Elsevier SSRN, Vijayawada, India. She is also a recipient of the Women Researcher Award, awarded by the REST Society for Research International, India. Dr. Goswami is the recipient of University Grants Commission- Basic Scientific Research (UGC-BSR) Fellowship (under the Government of India). She has been awarded the Star Team Award for developing efficient software for GeoMedia (GIS), leading to complete customer satisfaction at Hexagon (Intergraph), Hyderabad. She is Editorial Board Member of two international journals and has contributed editorial articles and chapters in Scopus-indexed books. Dr. Goswami is an IEEE Senior Member in IEEE CIS/GRSS Chapter Hyderabad Section. She is presently serving as Chairperson of ACM Hyderabad Deccan Professional Chapter and has also served as ACM-W Chair. Dr. Goswami is an active researcher and contributes to society by delivering workshops and guest lectures, participating as technical program committee, tutorial chair, and reviewer in international conferences and journals. She has delivered more than 20 invited talks in the area of artificial intelligence, machine learning algorithms, statistical methods, computer vision, and color image processing. Dr. Goswami has been convener for international events such as Distinguished Lecture Series, AI Webinar Series, Workshops, and Conclaves. Dr. Goswami actively maintains her industry engagement through industry exchange program and project consultancy on applications of AI in various problem domains.
Affiliations and expertise
Professor, Department of Information Technology, Vasavi College of Engineering, Hyderabad, IndiaSR
Sonal Mobar Roy
Dr. Sonal Mobar Roy is an Assistant Professor at the Center for Wage Employment and Livelihoods at the National Institute of Rural Development and Panchayati Raj, Hyderabad, India. Dr. Roy did her master’s in Social Anthropology from Lucknow University and doctorate in Sociology from the Department of Humanities and Social Sciences, Indian Institute of Technology Kanpur. Her doctoral study focused on stigma related to TB and HIV in Ladakh region of India, and the fieldwork was sponsored by Parkes Foundation, UK. Her research interests include Sociology of Health and Education, Culture and Tribal Studies, Rural Development, and Ethnography. She is a member of international editorial boards and has been involved in teaching, training and research at her institute. She has national and international publications to her name and strives to bridge the gap between theory and practice through her writings and research. She has presented paper at universities of repute such as Oxford University, Imperial College London and University of Berkeley, California.
Affiliations and expertise
Assistant Professor, Center for Wage Employment and Livelihoods, National Institute of Rural Development and Panchayati Raj, Hyderabad, IndiaSS
Sabrina Senatore
Dr. Sabrina Senatore (Member, IEEE) is currently a Full Professor of Computer Science at University of Salerno, Italy. Her current research interests include the development and application of intelligent systems based on the combination of techniques from Computational Intelligence, Artificial Intelligence, Text Mining, Information Retrieval, Semantic Web, and Intelligent Agents, areas in which she has published extensively. She is an Associate Editor of several international journals, she is a co-editor of Expert Systems with Applications, Elsevier. She is the co-chair of the IEEE CIS Task Force on Intelligent Agents. She has participated in the organization of several international events, in the roles of Technical Program Chair and Session/symposium Chair. She has published more than 120 papers in international journals and books and on the proceedings of international conferences.
Affiliations and expertise
Professor of Computer Science, University of Salerno, ItalyView book on ScienceDirect
View book on ScienceDirect
Read Data-Driven Insights and Analytics for Measurable Sustainable Development Goals on ScienceDirect