Data-Driven Insights and Analytics for Measurable Sustainable Development Goals
Language: English
Published by Elsevier Inc Aug 2025, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - 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.…
Seller Inventory # 9780443330445
- Title
- Data-Driven Insights and Analytics for Measurable Sustainable Development Goals
- Author
- Tilottam Goswami
- Publisher
- Elsevier Inc Aug 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0443330441
- ISBN 13
- 9780443330445
- Item weight
- 617 grams
- Dimensions
- 235x191x19 mm
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.
- 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
"Synopsis" may belong to another edition of this title.
About the Author
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.
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.
"About the title" may belong to another edition of this title.
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