Public administration / Public policy Books

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Book SynopsisDig to the root of public fraud with deep exploration of theory, standards, and norms Preventing Fraud and Mismanagement in Government identifies common themes in public fraud and corruption, describes the forces that drive them, and provides an objective standard of good practices with no political bent. From Bridgegate to Iran-Contra, this book walks through the massive scandals that resulted from public mismanagement and fraud to illustrate how deeply-entrenched, entity-specific norms can differ from actual best practices. The discussion includes the theoretical underpinnings of public fraud, and how intense corporate culture and limited exposure to outside practice standards can lead to routine deviation from normal behavior and moral standards. You''ll find a compendium of practices that illustrate actual norms, allowing you to compare your own agency''s culture and operations to standard practice, and contrast the motivations for fraud in the public and private sTable of ContentsForeword vii Acknowledgments ix About the Authors xiii Preface xv Introduction xix Chapter 1: Government and How It Works 1 Chapter 2: Public Finance and How Government Creates Cash Flow 61 Chapter 3: Accounting for Government 117 Chapter 4: Who Works in Government and What Is Their Motivation? 191 Chapter 5: Fraud in Public Agencies: Horse Trading or Stealing? 247 Chapter 6: Corrupt Policies and Actions 325 Chapter 7: Policing of Public Corruption and Fraud 371 Chapter 8: Final Thoughts 401 Appendix: Tables 457 Index 497

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Book SynopsisAnalytics can make government work betterthis book shows you how A Practical Guide to Analytics for Governments provides demonstrations of real-world analytics applications for legislators, policy-makers, and support staff at the federal, state, and local levels. Big data and analytics are transforming industries across the board, and government can reap many of those same benefits by applying analytics to processes and programs already in place. From healthcare delivery and child well-being, to crime and program fraud, analytics canin fact, already doestransform the way government works. This book shows you how analytics can be implemented in your own milieu: What is the downstream impact of new legislation? How can we make programs more efficient? Is it possible to predict policy outcomes without analytics? How do I get started building analytics into my government organization? The answers are all here, with accessible explanations and useful advice from an eTable of ContentsForeword xi Acknowledgments xv Chapter 1 Introduction 1Marie Lowman Child Welfare 4 Education 5 Healthcare 5 Prescription Drug Abuse 6 Criminal Justice and Public Safety 6 Smart Cities 7 Transportation 7 Fraud, Waste, and Abuse 8 Establishing a Center of Analytics 8 Chapter 2 Child Well-Being 11Will Jones Introduction 12 Data-Driven Culture 13 Data Sharing 16 Data Quality 18 Assessing Risk 22 Addressing the Perceived Limits of Analytics Pertaining to Assessing Risk 25 Impact on Workforce 29 Notes 32 Chapter 3 Education 35Nadja Young Introduction 36 Build Your Engine—Build the Education Data System Infrastructure 40 Use the Dashboard to Measure What Matters Most—Student Learning Growth 42 Use the Navigation System to Guide Education Policy 47 Look through the Windshield with Predictive Analytics 56 Drive the Car and Use the Data 62 Notes 64 Chapter 4 Healthcare 67Jeremy Racine Role of the Government 68 The Challenge 72 Value-Based Care 89 Conclusion 96 Notes 97 Chapter 5 Prescription Drug Abuse 99Steve Kearney Introduction 100 National Initiatives 103 Prescription Drug Monitoring Programs 106 Advanced Analytics 107 Health Outcomes 109 Notes 111 Chapter 6 Criminal Justice and Public Safety 113David Kennedy Improving Data Access and Data Quality 117 Analytics throughout the Justice and Public Safety System 121 Conclusion 126 Notes 127 Chapter 7 Brilliant Analytics for Smart Cities 129Jennifer Robinson Smart Cities 131 Technologies in Smart City Solutions 133 Data Management 136 Analytics 137 Notes 150 Chapter 8 Transportation 151Jim Trogdon Connected and Autonomous Vehicles (CAVs) 152 The Role of Data and Analytics 154 Benefi ts of Connected and Autonomous Vehicles 155 National Focus on Adoption of Performance Measures 156 Safety Performance Measures 157 System Performance Measures 157 The Role of Data and Analytics 159 Benefi ts of Transportation Performance Management and Improved Measures 162 Notes 163 Chapter 9 Fraud, Waste, and Abuse 165Carl Hammersburg Healthcare 167 Tax and the Underground Economy 170 Benefi ts Programs 172 Recommendations 174 Notes 177 Chapter 10 Center of Analytics 179Kay Meyer Why a Center of Analytics? 183 What Makes a Center of Analytics? 184 Building a Center of Analytics? 188 Notes 190 Appendix 191 Index 193

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