Working with Data in the Public Sector

Any reader of this volume will find themselves more comfortable with data and perceived by others as more competent in making data-driven decisions. It is a small investment with a high payoff for individuals, their present or future organizations, and the citizens they serveIt is a necessary complement to courses on statistics or quantitative decision making, and should become widely adopted in Public Administration, Public Policy and Nonprofit programs, as well as many professional degrees. From the Foreword by Marc Holzer, Founding Dean and Professor Emeritus, School of Public Affairs and Administration, Rutgers University, USA; Founder, National Center for Public Performance "I have seen the effects of data fear many times throughout my career in public service. Anne and Ron offer practical approaches to alleviating these fears both at the individual and organizational level. This book is a critical read for anyone who wants to overcome data fear in themselves or others. Toni Harp, former Mayor of New Haven (20142020), USA; Connecticut State Senator (retired); Chair, Appropriations Committee Working with both Anne and Ron on many initiatives, I have gained a real appreciation for how powerful data can be in convincing key decision makers to embrace change. New public policies and investments must be rooted in data and then continually measured to ensure effectiveness and public support. The book is a must read. William Carbone, Distinguished Lecturer, Executive Director of Justice Programs and The Tow Youth Justice Institute, University of New Haven, USA; Executive Director (retired), Court Support Services Division, Connecticut Judicial Branch

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.

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 Doesnt 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