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Integrating AI for Sustainable Disaster
Management

Integrating AI for Sustainable Disaster Management

Building Resilience and Preventing Catastrophes

Preface xvii 1 Introduction to Sustainable Development and Disaster Management 1 Rajasekaran Thangaraj, Palanichamy Naveen, Maheswar R., Mohanasundaram K., Arivazhagan S. and Kolla Bhanu Prakash 1.1 Introduction 2 1.1.1 Overview of Sustainable Development 2 1.1.1.1 Core Concepts of Sustainable Development 2 1.1.1.2 Historical Context of Sustainable Development 3 1.1.1.3 Principles of Sustainable Development 3 1.1.1.4 Challenges and Opportunities in Achieving Sustainable Development 4 1.1.2 Importance of Disaster Management 5 1.1.2.1 Definition and Scope of Disaster Management 5 1.1.2.2 Phases of Disaster Management 6 1.1.2.3 Types of Disasters 6 1.1.2.4 Challenges in Disaster Management 6 1.1.2.5 Importance of Effective Disaster Management 7 1.1.2.6 Case Studies of Disaster Management 8 1.1.3 Intersection of AI, Sustainable Development, and Disaster Management 9 1.2 Sustainable Development 9 1.2.1 Definition and Principles 9 1.2.2 Historical Context and Evolution 9 1.2.3 Goals and Global Initiatives (SDGs) 10 1.3 Disaster Management 10 1.3.1 Definition and Types of Disasters 10 1.3.2 Phases of Disaster Management 10 1.3.3 Challenges in Traditional Disaster Management Approaches 11 1.4 Role of AI in Sustainable Development 12 1.4.1 AI Technologies and their Applications 12 1.4.2 Case Studies of AI in Sustainable Development 12 1.5 Role of AI in Disaster Management 15 1.5.1 AI Technologies in Disaster Prediction and Early Warning 15 1.5.2 AI in Disaster Response and Recovery 15 1.5.3 Case Studies of AI in Disaster Management 16 1.6 Integration of AI in Sustainable Disaster Management 17 1.6.1 Benefits of AI Integration 17 1.6.2 Framework for AI Integration 18 1.6.2.1 Identifying Key Areas for AI Application 18 1.6.2.2 Ensuring Data Accessibility and Quality 18 1.6.2.3 Fostering Collaboration Among Stakeholders 18 1.6.2.4 Addressing Ethical Considerations 19 1.6.2.5 Ensuring Transparency 19 1.6.3 Challenges and Ethical Considerations 19 1.7 Conclusion 21 References 22 2 Earthquake Risk Assessment Using Artificial Intelligence - A Review on Traditional Methods and Artificial Intelligence- Based Methods 25 Jeba Wincy Deborah. W., Karishma. R., D. Pamela, Joses Jenish Smart, Shajin Prince and Bini. D. Introduction to Earthquake Risk Assessment 26 Understanding Seismic Hazards 27 Data Source of Earthquake Risk Assessment 27 Scenario of Earthquake Incidents of the World 28 Scenario of Earthquake Incidents of India 29 Brief Overview of Earthquake Incidents in India 29 Traditional Methods Used in Earthquake Risk Assessment and Predictions: Historical Data Analysis 33 Seismic Hazard Mapping 34 Ground Motion Prediction 35 Fault Rupture Hazard Analysis 36 Site-Specific Studies 37 Building Vulnerability Assessment 37 Organizations for Earthquake Risk Assessment and Predictions 42 Earthquake Risk Assessment Using Artificial Intelligence 43 Prediction of Earthquake Using AI 44 Algorithms Used for Earthquake Risk Assessment and Predictions: Deep Learning Algorithms 45 Machine Learning Algorithms 45 Methods for Earthquake Risk Assessment and Prediction Using AI 46 Pattern Recognition in Seismic Data 46 Anomaly Detection 47 Earthquake Forecasting Model 47 Data Fusion and Integration 48 Damage and Impact Assessment 49 Real-Time Monitoring 50 Early Warning Systems 51 Risk Mitigation 52 Resilience Planning 52 Predictive Modeling for Earthquake Forecasting Using AI 54 Integration of AI Techniques in Seismic Hazard Analysis 55 Construction Practices and Urban Planning for Earthquake Assessment Using AI 56 Future Scope of Earthquake Risk Assessment and Prediction Using AI 57 Conclusion 58 References 59 3 AI Applications in Earthquake Resistance Using Change in Structural Design 61 E. Nirmala, M. Suresh and Sankar Muthu Paramasivam 3.1 Introduction 62 3.2 Review of Literature 63 3.3 Proposed Techniques 64 3.3.1 Different Techniques Used in Structural Design to Reduce Risk in Posterior Earthquakes 64 3.3.2 Earthquake Prediction Using ANN 67 3.3.3 AI-Neural Network-Based Earthquake Prediction 67 3.3.4 AI-Based Dynamic Interpretation Network (DIN)- Multilayer Propagation Algorithm for Earthquake Prediction 68 3.4 AI- and ML-Based Techniques 70 3.4.1 Earthquakes of Smaller Size Can Predict Large-Size Earthquakes Using Substance of AI Machine Learning Algorithms 70 3.4.2 AI-Assisted Simulation-Driven Earthquake-Resistant Design Framework: Taking a Strong Back System as an Example 71 3.4.3 Guidelines for Architectural Design Changes to Predict from Earthquake 73 3.4.4 Seismic Advancement of Prevailing Masonry Structures 73 3.5 Conclusion and Future Work 74 Bibliography 75 4 Automatic Detection of Tropical Cyclones from Satellite Images Using YOLO Models 79 Rajasekaran Thangaraj, Pandiyan P., Palanichamy Naveen, Balasubramaniam Vadivel, P. Prakash and S. Manoj Kumar 4.1 Introduction 80 4.2 Related Works 82 4.3 Dataset Description 83 4.3.1 Dataset Collection 83 4.3.2 Dataset Preprocessing 83 4.4 Methodology 84 4.4.1 Yolo 84 4.4.2 YOLOv 3 84 4.4.3 Tiny-YOLOv 4 85 4.4.4 YOLOv 5 87 4.5 Model Evaluation Indicators 88 4.6 Experimental Results 89 4.7 Discussion 93 4.8 Conclusion 94 References 95 5 Intelligent Transportation Systems in Cyclone-Prone Areas: A Study and Future Perspectives 99 Geetha S. K., Kiruthika J. K., Sathya S., Srisathya K. B., Rajasekaran Thangaraj and R. Devi Priya 5.1 Introduction 100 5.2 Importance of Intelligent Transportation Systems in Cyclone Resilience 101 5.3 Early Warning Systems 103 5.4 Applications of Unmanned Aerial Vehicles and Robots in Disaster Management 106 5.5 Emerging Technologies and Future Trends in ITSs for Cyclone-Prone Areas 108 5.6 Optimizing Mobility: Advanced Approaches to Traffic Management and Control 111 5.7 Conclusion 117 References 117 6 AI-Enhanced Risk Assessment and Mitigation for Mass Movements 121 G. Anusha, V. Sathish Kumar, U. Johnson Alengaram, S. Nagamani and N. Srimathi 6.1 Introduction 122 6.2 Understanding Mass Movements 123 6.3 Traditional Risk Assessment and Mitigation Methods 124 6.4 The Role of AI in Risk Assessment 125 6.5 AI-Enhanced Mitigation Strategies 127 6.6 Challenges and Ethical Considerations 129 6.7 Future Trends and Innovations in AI-Enhanced Mass Movement Management 130 6.8 Case Studies in AI-Enhanced Mass Movement Management 132 6.9 Conclusions 134 References 135 7 Distributed AI Systems for Disaster Response and Recovery 137 Ravikumar S., Eugene Berna I., Vijay K., J. Jeyalakshmi and Eashaan Manohar 7.1 Introduction 138 7.2 Technology Applied in Critical Cases 141 7.2.1 Disaster Management Architecture 143 7.2.2 Proposed Framework 144 7.2.3 Disaster Management Ontology 145 7.3 Approach to Disaster Relief That is Enabled by Information and Communication Technology 145 7.4 ml and Deep Learning Methods: An Overview 146 7.4.1 Convolutional Neural Network 147 7.4.2 Lstm 148 7.4.3 Support Vector Machine 148 7.4.4 ML/DL Methods for Disaster and Hazard Prediction 148 7.4.5 ML/DL Methods for Risk and Vulnerability Assessment 149 7.4.6 ML/DL Methods for Disaster Detection 150 7.4.7 ML/DL Methods for Disaster Monitoring 150 7.4.8 ML/DL Methods for Damage Assessment 150 7.5 Phases of Disaster Management 151 7.5.1 Prediction 151 7.5.2 Detection 152 7.5.3 Response 152 7.5.4 Recovery 152 7.5.5 Before Disaster 152 7.5.5.1 Risk Assessment 152 7.5.5.2 Mitigation 153 7.5.5.3 Prevention 153 7.5.5.4 Prediction 153 7.5.5.5 Detection 153 7.5.6 During Disaster 153 7.5.6.1 Preparation 154 7.5.6.2 Management 154 7.5.6.3 Response 154 7.5.7 After Disaster 154 7.5.7.1 Recovery 154 7.5.7.2 Monitoring 154 7.5.7.3 Lessons Learned 155 7.6 Disaster Management and Disaster Resilience 155 7.7 Applications of AI for Disaster Management 156 7.8 AI Applications in Disaster Mitigation 156 7.9 Conclusion 157 References 158 8 Intelligent Reasoning and Decision¿Making in Disaster Scenarios 163 Sreenivasa Chakravarthi Sangapu, Sreenija Reddy D., Likitha D. and Sountharrajan S. 8.1 Introduction 164 8.2 Types of Natural Disasters 165 8.3 Impact of Natural Disasters 167 8.4 Decision-Making in a Disaster Scenario 170 8.4.1 Disaster Prediction 171 8.4.2 Decision-Making in Analyzing the Impact of Disaster 171 8.4.3 Disaster Precautions and Measures 171 8.4.4 Benefits of Decision-Making in Disaster Scenario 172 8.4.5 Technology in Decision-Making Process of a Disaster 173 8.5 AI/Machine Learning in Decision-Making of Disaster Scenario 174 8.5.1 AI/ML in Predisaster Stage 175 8.5.2 AI/ML in During Disaster Stage 176 8.5.3 AI/ML in Postdisaster Stage 178 8.6 AI Methods for Disaster Prediction 179 8.6.1 Cyclone 179 8.6.2 Drought 180 8.6.3 Earthquake 184 8.6.4 Floods 189 8.6.5 Landslides 192 8.7 AI Methods to Analyze the Impact of Disasters 195 8.7.1 Cyclone 196 8.7.2 Drought 198 8.7.3 Earthquake 201 8.7.4 Floods 204 8.7.5 Landslide 205 8.8 AI/ML Methods in Providing Precautionary Measures 210 8.9 Intelligent Reasoning 214 8.10 Conclusion 219 References 220 9 AI Applications in Real-Time Intelligent Automation 229 M. Maragatharajan, L. Sathishkumar, G. Vishnuvarthanan and Jun li 9.1 Introduction 230 9.2 Related Works 233 9.3 Proposed Methods 235 9.3.1 Use of Drones in Disaster Management 236 9.3.1.1 Understanding Drone Technology 238 9.3.1.2 Components and Functionality 238 9.3.1.3 Types and Classifications 239 9.3.1.4 Applications 239 9.3.1.5 Challenges and Future Trends 239 9.3.1.6 Drone Applications in Earthquake Disaster Response 240 9.3.1.7 Rapid Damage Assessment 240 9.3.1.8 Search and Rescue Operations 240 9.3.1.9 Communication and Coordination 240 9.3.1.10 Environmental Monitoring and Mapping 241 9.3.2 Flood Disaster Management Using the Flood Detection Secure System 241 9.3.2.1 Terminologies in FDSS 243 9.3.2.2 The Process of FDSS 244 9.3.3 Flood Management Using AI and IoT 246 9.3.3.1 Architecture 247 9.4 Conclusion and Future Perspectives 248 References 248 10 Knowledge Management and Processing in Disaster Management 251 R. Jayaraghavi, L. S. Jayashree, Palanichamy Naveen and M. Saravanan 10.1 Introduction 252 10.1.1 Importance of Knowledge Management 252 10.1.2 Role of AI 253 10.2 Knowledge Management in Disaster Management 255 10.2.1 Data Collection 255 10.2.2 Information Processing 257 10.2.3 Knowledge Dissemination 259 10.2.4 Decision Support Systems 262 10.3 Integration of AI in Disaster Management 265 10.3.1 Machine Learning Applications 265 10.3.2 Natural Language Processing 265 10.3.3 Predictive Analytics 271 10.4 Challenges and Ethical Considerations 275 10.4.1 Data Privacy 275 10.4.2 Bias and Reliability 278 10.4.3 Resource Allocation 280 10.5 Future Prospects and Innovations 284 10.5.1 Technological Advances 284 10.5.2 Integration with Existing Systems 288 10.5.3 Global Collaboration 290 10.6 Conclusion 294 10.6.1 Summary of Key Points 294 10.6.2 Call to Action 296 10.6.3 Future Vision 298 References 298 11 Perception Technologies for Disaster Situations 301 Ganesh Nataraj, K. Mohanasundaram and S. Ramesh Babu 11.1 Introduction 302 11.2 Understanding Disaster Situations 303 11.3 Role of Perception Technologies 305 11.4 Categories of Perception Disaster Technologies 306 11.4.1 Remote Sensing and Imaging Technologies 306 11.4.2 Computer Vision and Image Analysis 307 11.4.3 Internet of Things (IoT) Sensors 307 11.4.4 Data Fusion and Integration 308 11.4.5 Human-Computer Interaction and Decision Support Systems 309 11.4.6 Ethical and Privacy Considerations 310 11.4.7 Future Directions and Challenges 311 11.5 Conclusion 311 References 312 12 Integration of AI and Software Engineering for Disaster Management: A Multimodal Disaster Identification Perspective 315 Mithrashree V., Sowmya V., Premjith B. and Jyothish Lal G. 12.1 Introduction 316 12.2 Related Works 318 12.3 Methodology 320 12.4 Experiments and Result Discussion 323 12.5 Conclusion 328 Bibliography 330 13 An Intelligent AI-Based Fault Detection Mechanism for Autonomous Vehicles with Blockchain Security 333 Indra Priyadharshini S., Thankaraja Raja Sree and Kanmani S. 13.1 Introduction 334 13.2 Evolution of Autonomous Vehicles 335 13.3 Role of AI in Autonomous Systems 336 13.3.1 Architecture Diagram 337 13.3.2 AI Algorithms for Fault Prediction and Recognition 340 13.3.2.1 Isolation Forest Algorithm 341 13.4 Challenges of Artificial Intelligence in Autonomous Systems 344 13.5 Blockchain Security Measures for Autonomous Vehicles 346 13.5.1 Secure Autonomous Vehicle Network Using Blockchain 348 13.6 List of Software/Tools, Design Techniques and Programming Languages for Autonomus Systems 349 13.6.1 Case Studies and Practical Implementations in an Autonomous System 351 13.6.2 Key Findings and Contributions 353 13.7 Conclusion 353 References 354 14 Industrial Experiences in Crop Cultivation Using AI for Disaster Management 357 Sagar Rohi, Ishaan Shrikant Kulkarni, Gagan Deep and Geetanjali Rathee 14.1 Introduction 358 14.1.1 AI in Agriculture 358 14.1.2 Contribution 359 14.2 Related Work 360 14.3 Proposed Framework 362 14.3.1 Construction of Knowledge Graph 363 14.4 Performance Analysis 364 14.4.1 Crop Query Dataset 364 14.4.2 Results Discussion 364 14.5 Conclusion 366 References 366 15 A Comprehensive Review on Robotics in Disaster Response and Recovery 369 J. Sarathkumar Sebastin, Sivaraman and V. K. Kuberaganapathi 15.1 Introduction 370 15.1.1 Role of Robotics in Disaster Response 370 15.1.2 Role of Robotics in Disaster Recovery 371 15.1.3 The Key Objectives of Reviewing Robotics in Disaster Response and Recovery 372 15.2 Disaster Response Robotics 372 15.2.1 Overview of Different Types of Disasters (Natural and Man-Made) 372 15.2.2 Robotics Technologies Used in Disaster Response 374 15.3 Robotics in Disaster Recovery 376 15.3.1 The Transition from the Response to the Recovery Phase in Disaster Management 376 15.3.2 The Role of Robotics in Postdisaster Recovery 377 15.3.3 Infrastructure Inspection and Assessment Using Drones and Ground Robots 379 15.3.4 Debris Clearance and Demolition with Robotic Assistance 380 15.3.5 Rehabilitation and Reconstruction Aided by Robotics in Construction 382 15.3.6 Psychological Support Through Robotic Companionship and Therapy 383 15.3.7 Review of Case Studies or Research Papers Demonstrating the Application and Impact of Robotics in Disaster Recovery Efforts 385 15.4 Future Directions 387 15.4.1 Exploration of Emerging Trends and Future Directions in Disaster Robotics Research 387 15.4.2 Recommendations for Future Research and Development Efforts to Maximize the Potential of Robotics in Disaster Response and Recovery 389 15.5 Conclusion 390 References 391 Index 393

This open access book critically analyses a wide range of consumer law issues generated or exacerbated by the Internet of Things. The Internet of Things challenges many of the dichotomies which have shaped current laws: goods-services, hardware-software, tangible-intangible, online-offline. The book focuses on 4 specific challenges: things-as-service, liability, bricking of physical devices through software control, and the potential for enhanced personalisation, especially for digital assistants. The chapters analyse specific applications such as smart homes, connected cars, and consumer wearables with a view to providing innovative solutions to the new challenges posed by the Internet of Things, and to steer the development of the Internet of Things in a fairer direction. As well as offering an important analysis of the potential for smart consumer laws in the Internet of Things, the book also provides important insights into the growing divergence between Germany's and the UK's consumer laws since Brexit. The ebook editions of this book are available open access under a CC BY 4.0 licence on bloomsburycollections.com. Open access was funded by UKRI (Arts and Humanities Research Council) and the German Research Foundation (DFG).

Lessons from Germany and the United Kingdom

From Smart Technologies to Smart Consumer Law

Sprawl Trilogy

William Gibson, author of the extraordinary multiaward-winning novel "Neuromancer, has written his most brilliant and thrilling work to date . . ."The Mona Lisa Overdrive. Enter Gibson's unique world--lyric and mechanical, erotic and violent, sobering and exciting--where multinational corporations and high tech outlaws vie for power, traveling into the computer-generated universe known as cyberspace. Into this world comes Mona, a young girl with a murky past and an uncertain future whose life is on a collision course with internationally famous Sense/Net star Angie Mitchell. Since childhood, Angie has been able to tap into cyberspace "without a computer. Now, from inside cyberspace, a kidnapping plot is masterminded by a phantom entity who has plans for Mona, Angie, and all humanity, plans that cannot be controlled . . . or even known. And behind the intrigue lurks the shadowy Yazuka, the powerful Japanese underworld, whose leaders ruthlessly manipulate people and events to suit their own purposes . . . or so they think.

The thrilling conclusion to William Gibson’s classic Sprawl Trilogy, which began with the groundbreaking Neuromancer and “open[ed] up a new genre” (San Francisco Chronicle) “Brilliant, gritty, densely textured.”—Kirkus Reviews Enter the uniquely prescient world of the Sprawl—lyric and mechanical, sensual and violent, sobering and exciting—where multinational corporations and high-tech outlaws vie for power, traveling into the computer-generated universe known as cyberspace. Into this world comes Mona, a young girl with a murky past and an uncertain future whose life is on a collision course with internationally famous virtual reality star Angie Mitchell. Since childhood, Angie has been able to tap into cyberspace without a computer. Now, from inside cyberspace, a kidnapping plot is masterminded by a phantom entity who has plans for Mona, Angie, and all humanity, plans that cannot be controlled . . . or even known. And behind the intrigue lurks the shadowy Yakuza, the powerful Japanese criminal syndicate, whose leaders ruthlessly manipulate people and events to suit their own purposes. But even the Yakuza is no match for the machinations of an opaque artificial intelligence, whose goals no human can hope to comprehend. Don't miss any of the Sprawl Trilogy NEUROMANCER • COUNT ZERO • MONA LISA OVERDRIVE

Mona Lisa Overdrive

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the twenty-first century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

This practical guide shows you how to build an effective compliance and ethics program that will lower a business's risks and improve productivity. Today's research is clear: companies that prioritize ethics and compliance don't just avoid risk-they gain a measurable edge in productivity and performance. This practical, updated guide shows business leaders, compliance officers, legal professionals, and students exactly how to achieve that advantage in today's complex regulatory landscape. Unlike broad overviews that stop at theory, this new edition delivers a step-by-step roadmap for building stronger, smarter compliance programs. The first half of the book equips readers with proven strategies to design or enhance internal compliance and ethics frameworks. The second half dives into high-risk regulatory areas-antitrust, international business, labor and wage laws, HIPAA and health care, environmental regulations, and more-offering clear explanations of the laws and actionable best practices to stay ahead of costly missteps. Whether you need to strengthen an existing program or build one from the ground up, this guide provides the essential tools to mitigate risk, meet regulatory demands, and unlock the productivity gains that come from doing business the right way.

A How-to Guide for Students, Executives, Lawyers, and Other Compliance Professionals

Compliance Management

A NEW YORK TIMES BESTSELLER ONE OF PRESIDENT OBAMA’S 2025 SUMMER READS AS SEEN ON CBS MORNINGS, CNN ANDERSON COOPER, ABC NEWS LIVE, MSNBC MORNING JOE, AND MANY MORE "This eye-opening, multifaceted ode to public service. . . feels both urgent and moving." —The Guardian "Terrific." —New York Times An all-star team of writers and storytellers go in search of the essential public servant Who works for the government and why does their work matter? Michael Lewis invited his favorite writers, including Casey Cep, Dave Eggers, John Lanchester, Geraldine Brooks, Sarah Vowell, and W. Kamau Bell, to join him in writing about someone doing an interesting job for the government. The stories they found are unexpected, riveting, and inspiring, including a former coal miner devoted to making mine roofs less likely to collapse, saving thousands of lives; an IRS agent straight out of a crime thriller; and the manager who made the National Cemetery Administration the best-run organization, public or private, in the entire country. Each essay shines a spotlight on the essential behind-the-scenes work of exemplary federal employees. Whether they’re digitizing archives, chasing down cybercriminals, or discovering new planets, these public servants are committed to their work and universally reluctant to take credit. Expanding on the celebrated Washington Post series, these vivid profiles show how the essential business of government makes our lives possible.

“Perhaps never before has there been a book better timed or more urgent.” —Washington Post One of President Obama's 2025 Summer Reads As seen on CBS Mornings, CNN Anderson Cooper, ABC News Live, MSNBC Morning Joe, and many more Who works for the government and why does their work matter? An urgent and absorbing civics lesson from an all-star team of writers and storytellers. The government is a vast, complex system that Americans pay for, rebel against, rely upon, dismiss, and celebrate. It’s also our shared resource for addressing the biggest problems of society. And it’s made up of people, mostly unrecognized and uncelebrated, doing work that can be deeply consequential and beneficial to everyone. Michael Lewis invited his favorite writers, including Casey Cep, Dave Eggers, John Lanchester, Geraldine Brooks, Sarah Vowell, and W. Kamau Bell, to join him in finding someone doing an interesting job for the government and writing about them. The stories they found are unexpected, riveting, and inspiring, including a former coal miner devoted to making mine roofs less likely to collapse, saving thousands of lives; an IRS agent straight out of a crime thriller; and the manager who made the National Cemetery Administration the best-run organization, public or private, in the entire country. Each essay shines a spotlight on the essential behind-the-scenes work of exemplary federal employees. Whether they’re digitizing archives, chasing down cybercriminals, or discovering new planets, these public servants are committed to their work and universally reluctant to take credit. Expanding on the Washington Post series, the vivid profiles in Who Is Government? blow up the stereotype of the irrelevant bureaucrat. They show how the essential business of government makes our lives possible, and how much it matters.

The Untold Story of Public Service

Who Is Government?

Passionately Transforming Management

The allure of crime is undeniable. From news headlines to true crime podcasts, crime has a way of entrapping our interest and imagination. An exploration of the lessons that managers can learn from organised crime, Passionately Transforming Management with Crime addresses how criminal enterprises engage with leadership and innovation, and how popular representations of crime affect our perceptions of management and organisation. Alf Rehn's enticing text explores crime from a number of angles - historical, cultural and economic - to better understand the link between business and crime, and the lessons that can be shared. It looks to crime both as a source of inspiration for entrepreneurship and organisation, and as an influence on management through iconographies, legends and storytelling. The book also debunks common misconceptions about the business of crime, and touches on the dangers of romanticising criminal endeavours. Following an examination of criminals in history and fiction, Passionately Transforming Management with Crime progresses to discuss why we are attracted to crime, how crime mirrors legitimate businesses, and what we can learn from the criminal underworld, both real and fictional. Passionately Transforming Management with Crime offers a compelling and novel approach to management that provides valuable insights for practicing managers, professionals, advanced postgraduate students and scholars in Management, Critical Management Studies and Organisation Studies. Witty and engaging, this text is a fascinating read for those interested in discovering the management lessons to be learnt from Jean Genet, Biggie Smalls and Grand Theft Auto.

Passionately Transforming Management with Crime

Most composition textbooks begin with skills like thesis writing and paragraph structure. This one begins with a person. Writing as Self-Design is a transformative textbook in which students examine control of information and discover their agency in meaning-making. Informed by neuroscience, rhetorical theory, digital literacy, and composition pedagogy, this book challenges students to question how meaning is made, filtered, and constrained in the digital age, and to develop their unique voices through composition strategies that reclaim writing as an act of self-design. It is a book which responds to the technological landscape in which we find ourselves. Rather than convincing students of the value of research and writing, Writing as Self-Design allows them to discover their own emotional value through enhanced agency in inquiry and resistance. Through this textbook, composition becomes a space in which students question information control, the hedonic cycle of passive consumption, and their greater agency in creativity and intentional design. Recognizing the ubiquity of tools like AI, this book encourages critical examination of how and why they are used. Students engage with algorithmic bias, misinformation, datafication, and the influence of platforms like Google, TikTok, and ChatGPT: not just as topics, but as forces that shape the way they think, write, and relate to the world. The value of Writing as Self-Design will resonate well beyond the classroom, addressing the importance of the critical skills needed to navigate the "total noise" of our media-saturated lives, build personal definitions of success, and rediscover the creative cycle that leads to lasting happiness and fulfilment.

Finding Voice and Agency Through Composition

Writing as Self-Design

'Book of the Year' as chosen by The Conversation 'Disconcerting . . . a disturbing and important book' NEW SCIENTIST 'Smart and wonderfully readable' NEW YORK TIMES The bad science and sinister ideas behind Silicon Valley's foolish obsession with immortality, AI paradise and limitless growth. Tech billionaires have decided that they should determine our futures for us. According to Elon Musk, Jeff Bezos, Sam Altman and more, the only good future for humanity is one powered by technology: trillions of humans living in space, functionally immortal, served by superintelligent AIs. In More Everything Forever, scientist and writer Adam Becker investigates these wildly implausible and often profoundly immoral visions of tomorrow to reveal why, in reality, there is no good evidence that they will, or should, come to pass. The giants of Silicon Valley claim that their ideas are based on science, but the truth is darker: they come from a jumbled mix of shallow futurism and racist pseudoscience. And behind these fanciful visions of space colonies and digital immortality is a cynical power grab, at the expense of essential work spent on solving real problems like the climate crisis. More Everything Forever exposes the powerful myths that dominate Silicon Valley, challenging us to see how foolish, and dangerous, these visions of the future are.

AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity

More Everything Forever

While headlines focus on risks and regulations associated with AI, this groundbreaking book offers business leaders what they truly need-a visionary yet practical roadmap to harness artificial intelligence as a catalyst for unprecedented human and organizational growth.

Winning in Business with Superintelligent AI

Smarter than You

This biography captures the extraordinary life of a true titan of industry. Lu Guanqiu (1944-2017) was the visionary founder of Wanxiang Group in China, which started as a humble rural blacksmith shop, with just 7 workers and 4,000 yuan, before transforming into a global powerhouse in automotive parts and clean energy. From pioneering the entry of Chinese auto components into the U.S. market to leading the charge in electric vehicle innovation since the late 1990s, Lu Guanqiu's career was a testament to unwavering belief and audacious ambition. This definitive biography, based on his private notes and extensive interviews, is not just a chronicle of business success, but a deep dive into the mind of one of Asia's most revered entrepreneurs whose impact resonated far beyond the corporate world.The book offers an intimate and insightful panorama of Lu Guanqiu's 55-year career, told through compelling stories that bridge financial acumen with literary breadth. It analyses the pivotal moments and profound philosophies that shaped this iconic figure, from his early struggles to escape poverty to his strategic acquisition of international companies and his unwavering commitment to clean energy. The dual narrative structure provides a unique lens, exploring both Lu's personal evolution and the broader family legacy that defines Chinese private enterprise. More than a business epic, this book is a powerful record of an era, illuminating the spirit of innovation and perseverance that defined China's social and economic transition.,

The biography of Li Guanqiu

Setting the Trend

This book is the first investigation of the relationship between EU digital sovereignty and sustainability strategies. It maps the ambitions and limitations of EU digital strategic autonomy and explores the structural challenges underlying its relationship with its green transition objectives in the context of the ongoing wars in neighbouring European countries and the consequent tensions in the EU energy sector. The EU is racing to achieve technological independence from third countries and foreign multinational companies to protect its digital sovereignty and preserve its fundamental rights. In the EU, digitalisation and the green transformation are seen as twin transitions. Yet, EU digital sovereignty strategies have a significant environmental cost. Reaching a status of strategic autonomy of the EU at the level of digital infrastructures, products, services and data implies higher energy consumption and exploitation of natural resources. Moreover, the geopolitical tensions following the Russian invasion of Ukraine have provoked an unprecedented energy crisis, which is affecting EU economies and impacting objectives of the twin transitions. The book offers an interdisciplinary analysis of the major EU regulatory and policy instruments in this field, providing an invaluable guide for academics, practitioners, and policymakers navigating the complex issues of preserving digital sovereignty and addressing climate change in times of war and energy crisis.

EU Challenges in Times of War and Energy Crisis

Digital Sovereignty and the Green Transition

Integrating AI for Sustainable Disaster Management

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