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Working with Data in the Public Sector: From Fear to Enthusiasm is the first book designed for practicing and future public administration professionals to help overcome any anxiety about using data effectively in their roles.
Working with Data in the Public Sector: From Fear to Enthusiasm is the first book designed for practicing and future public administration professionals to help overcome any anxiety about using data effectively in their roles.
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Autorenporträt
Anne McIntyre-Lahner is CEO of Action 2 Outcomes and Adjunct Professor in the School of Public Policy at the University of Connecticut, USA.
Ronald W. Schack is Managing Director of The Charter Oak Group, LLC, and Adjunct Professor in the School of Public Policy at the University of Connecticut, USA. He holds a doctoral degree in Political Science from the University of Connecticut.
Inhaltsangabe
Introduction PART I: The Nature of Data Fear 1. The Nature of Fear 2. Stages of Data Comfort 3. Fear Related to Capacity 4. Fear Related to Use PART II: Assessing Our Abilities and Anxieties About Data 5. A Fear Self-Assessment PART III: Addressing and Overcoming Data Fear: Taming the Fear Monster 6. A Fear-Fighting Toolbox 7, Analysis Doesn't Have to Be Scary 8. Approaches To Reducing Fears Related to Use Part IV: Moving Beyond Individual Data Fear 9. Organizational Data Fear 10. Collaborative Data Fear 11. Creating and Sustaining a Data-Informed Culture 12. Data Fear and The Application of Evidence-Based and Promising Practices 13. Community Data Fear and Data Responsibility 14. Data Fear and DEIA (Diversity, Equity, Inclusion, and Accessibility) 15. The Promise and Perils of the Use of Artificial Intelligence in Data Analysis and Reporting 16. An Interview With The Authors
Introduction PART I: The Nature of Data Fear 1. The Nature of Fear 2. Stages of Data Comfort 3. Fear Related to Capacity 4. Fear Related to Use PART II: Assessing Our Abilities and Anxieties About Data 5. A Fear Self-Assessment PART III: Addressing and Overcoming Data Fear: Taming the Fear Monster 6. A Fear-Fighting Toolbox 7, Analysis Doesn't Have to Be Scary 8. Approaches To Reducing Fears Related to Use Part IV: Moving Beyond Individual Data Fear 9. Organizational Data Fear 10. Collaborative Data Fear 11. Creating and Sustaining a Data-Informed Culture 12. Data Fear and The Application of Evidence-Based and Promising Practices 13. Community Data Fear and Data Responsibility 14. Data Fear and DEIA (Diversity, Equity, Inclusion, and Accessibility) 15. The Promise and Perils of the Use of Artificial Intelligence in Data Analysis and Reporting 16. An Interview With The Authors
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