Sunil Mathew Knihy

Focusing on the intersection of Artificial Intelligence and the Sustainable Development Goals, this textbook addresses pressing global issues such as climate change, poverty, and biodiversity loss. It aims to educate undergraduate students on sustainability while maintaining accessible mathematics. The author provides exercises and an instructor's manual, preparing readers for deeper exploration of global challenges and related literature. Key topics include country progress on SDGs and the impact of AI on these critical issues, making it a comprehensive resource for understanding sustainability.

By applying the mathematics of uncertainty, this book evaluates how effectively countries are meeting the 17 Sustainable Development Goals (SDGs) established by the UN, particularly regarding climate change, human trafficking, and modern slavery. The authors introduce a novel mathematical framework to address the challenges posed by limited data, ranking countries on their progress and identifying gaps in the foster care system that contribute to human trafficking. It serves as a valuable reference for advanced students, researchers, and educators in mathematics and social sciences.

Focusing on the interplay between climate change and social issues, this book evaluates countries based on their progress towards Sustainable Development Goals and their climate vulnerability. It highlights the profound effects of climate change on human trafficking, modern slavery, and global hunger, employing mathematical techniques to navigate uncertainties in data. By utilizing fuzzy graphs, it analyzes trafficking flows globally. The text serves as a valuable resource for advanced students and researchers in mathematics and social sciences, addressing critical global challenges.