This book explores the intersection of digital technologies and societal challenges—ranging from post-war reconstruction and smart city planning to human capital development, machine learning, and the fight against financial crime. Structured across 22 chapters, this book presents breakthrough concepts in circular economy models, crisis prevention using neural networks, cybersecurity in economic recovery, and microprocessor devices for predictive maintenance. It also highlights marketing strategies for universities, energy-saving innovations, and the role of national research data systems. Geared toward professionals in technology, economics, urban planning, and academia, this book offers a multidisciplinary guide to rebuilding, reimagining, and securing future-ready systems in volatile global environments.

This book explores the intersection of digital technologies and societal challenges—ranging from post-war reconstruction and smart city planning to human capital development, machine learning, and the fight against financial crime. Structured across 22 chapters, this book presents breakthrough concepts in circular economy models, crisis prevention using neural networks, cybersecurity in economic recovery, and microprocessor devices for predictive maintenance. It also highlights marketing strategies for universities, energy-saving innovations, and the role of national research data systems. Geared toward professionals in technology, economics, urban planning, and academia, this book offers a multidisciplinary guide to rebuilding, reimagining, and securing future-ready systems in volatile global environments.

This book presents real-world applications across sectors, focusing on economic security, energy transitions, digital agriculture, ESG reporting, and investment strategies—all informed by the Ukrainian experience of transformation and uncertainty. Comprising 20 comprehensive chapters, this book provides methodologies for risk assessment, performance evaluation, and decision-making in the fields of finance, enterprise management, and innovation ecosystems. It introduces tools such as logistic regression for assessing the health of banks, microgrid strategies for renewable energy, and transistor-based microsensors for biomedical monitoring. This book is ideal for researchers, analysts, and policy advisors, providing a framework for applying data-centric approaches to modern challenges in business, sustainability, and regional development.

This book explores the intersection of digital technologies and societal challenges—ranging from post-war reconstruction and smart city planning to human capital development, machine learning, and the fight against financial crime. Structured across 22 chapters, this book presents breakthrough concepts in circular economy models, crisis prevention using neural networks, cybersecurity in economic recovery, and microprocessor devices for predictive maintenance. It also highlights marketing strategies for universities, energy-saving innovations, and the role of national research data systems. Geared toward professionals in technology, economics, urban planning, and academia, this book offers a multidisciplinary guide to rebuilding, reimagining, and securing future-ready systems in volatile global environments.

This book explores the intersection of digital technologies and societal challenges—ranging from post-war reconstruction and smart city planning to human capital development, machine learning, and the fight against financial crime. Structured across 22 chapters, this book presents breakthrough concepts in circular economy models, crisis prevention using neural networks, cybersecurity in economic recovery, and microprocessor devices for predictive maintenance. It also highlights marketing strategies for universities, energy-saving innovations, and the role of national research data systems. Geared toward professionals in technology, economics, urban planning, and academia, this book offers a multidisciplinary guide to rebuilding, reimagining, and securing future-ready systems in volatile global environments.

This book presents real-world applications across sectors, focusing on economic security, energy transitions, digital agriculture, ESG reporting, and investment strategies—all informed by the Ukrainian experience of transformation and uncertainty. Comprising 20 comprehensive chapters, this book provides methodologies for risk assessment, performance evaluation, and decision-making in the fields of finance, enterprise management, and innovation ecosystems. It introduces tools such as logistic regression for assessing the health of banks, microgrid strategies for renewable energy, and transistor-based microsensors for biomedical monitoring. This book is ideal for researchers, analysts, and policy advisors, providing a framework for applying data-centric approaches to modern challenges in business, sustainability, and regional development.