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Cham : Springer International Publishing AG, 2021

1 online resource (134 pages)

ISBN 9783030636937 (electronic bk.)

ISBN 9783030636920

SpringerBriefs in Applied Sciences and Technology Ser.

Print version: Concilio, Grazia The Data Shake Cham : Springer International Publishing AG,c2021 ISBN 9783030636920

3.3.2 Proposals 2: Design Your Data-Driven Services as if Democracy Depended on It (Because It Does).

2.1 Introduction and Context -- 2.1.1 From Smart City to Data City -- 2.1.2 Exploring the Cities’ Points of View -- 2.2 Challenges and Questions Related to (Open) Data Policies -- 2.2.1 Data Hygiene in the Organization -- 2.2.2 IoT and Open Data -- 2.2.3 Centralization vs Decentralization -- 2.2.4 Government and the Market -- 2.2.5 Open Data Checklist -- 2.3 Data and Procurement -- 2.3.1 Examples of Model Clauses -- 2.4 Discussion and Conclusion -- References -- 3 Towards a Public Sector Data Culture: Data as an Individual and Communal Resource in Progressing Democracy -- 3.1 The Balance of a Data-Driven Democracy -- 3.2 The Conflicting Logics of Emerging Public Sector Data Cultures -- 3.3 The Project Democracy Data-Lessons on Cultivating Local Data Culture from the Swedish Social Services -- 3.3.1 Proposals 1: Promote Holistic Data-Literacy ---

3.3.2 Proposals 2: Design Your Data-Driven Services as if Democracy Depended on It (Because It Does).

Intro -- Preface -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- Part IThe Data Shake: Open Questions and Challenges for Policy Making -- 1 The Data Shake: An Opportunity for Experiment-Driven Policy Making -- 1.1 Introduction -- 1.2 Evidence-Based Policy Making: New Chances Coming from the Data Shake -- 1.2.1 About Evidence-Based Policy Making -- 1.2.2 Evidence-Based Policy Making and the Data Shake: The Chance for Learning -- 1.3 The Smart Revolution of Data-Driven Policy Making: The Experimental Perspective -- 1.3.1 About Policy Experiments and Learning Cycles -- 1.3.2 Policy Cycle Model Under Experimental Dimension -- 1.3.3 The Time Perspective in the Experimental Dimension of Policy Making -- 1.4 Conclusions: Beyond the Evidence-Based Model -- References -- 2 Data Ownership and Open Data: The Potential for Data-Driven Policy Making ---

5.4 Barriers and Limitations to the Full Exploitation of Data Potential in Policy Making -- 5.5 Conclusion -- References -- 6 Turning Data into Actionable Policy Insights -- 6.1 Introduction -- 6.2 Policy Making Supported by Data -- 6.2.1 Policy Design -- 6.2.2 Policy Implementation -- 6.2.3 Policy Evaluation -- 6.3 Policy-Oriented Data Activities -- 6.3.1 Differentiating Roles and Competences -- 6.3.2 Balancing Flexibility and Usability -- 6.3.3 Transforming Iterations into Experimental Drivers -- 6.4 Conclusions -- References -- 7 Data-Related Ecosystems in Policy Making: The PoliVisu Contexts -- 7.1 Introduction -- 7.2 The PoliVisu Project as a Testbed for Digital Innovation -- 7.3 Actors and Roles in Data-Related Policy Making Ecosystems -- 7.4 Data-Related Relations -- 7.5 Conclusion: Dealing with Complexity in the Era of the Data Shake -- References ---

3.3.3 Proposals 3: Conceptualize Data as Democratic Artifact -- References -- 4 Innovation in Data Visualisation for Public Policy Making -- 4.1 Introduction: Data Visualisation Between Decision Support and Social Influence -- 4.2 Scoping the Experiences of Data Scientists -- 4.2.1 Multiple Data Source Management -- 4.2.2 Rigorous Data Integration -- 4.2.3 Actionable Information Delivery -- 4.2.4 Personalised User Experience -- 4.3 A Critical Eye on Technology Innovation Trends -- 4.4 Conclusions and Way Forward -- References -- Part IIThe PoliVisu Project -- 5 Policy-Related Decision Making in a Smart City Context: The PoliVisu Approach -- 5.1 Evidence-Based Policy Making and the Rise of ICT -- 5.2 ICT-Enabled Policy Making in a Smart City Context -- 5.3 The Unique Characteristics of the PoliVisu Approach ---

5.4 Barriers and Limitations to the Full Exploitation of Data Potential in Policy Making -- 5.5 Conclusion -- References -- 6 Turning Data into Actionable Policy Insights -- 6.1 Introduction -- 6.2 Policy Making Supported by Data -- 6.2.1 Policy Design -- 6.2.2 Policy Implementation -- 6.2.3 Policy Evaluation -- 6.3 Policy-Oriented Data Activities -- 6.3.1 Differentiating Roles and Competences -- 6.3.2 Balancing Flexibility and Usability -- 6.3.3 Transforming Iterations into Experimental Drivers -- 6.4 Conclusions -- References -- 7 Data-Related Ecosystems in Policy Making: The PoliVisu Contexts -- 7.1 Introduction -- 7.2 The PoliVisu Project as a Testbed for Digital Innovation -- 7.3 Actors and Roles in Data-Related Policy Making Ecosystems -- 7.4 Data-Related Relations -- 7.5 Conclusion: Dealing with Complexity in the Era of the Data Shake -- References ---

8 Making Policies with Data: The Legacy of the PoliVisu Project -- 8.1 Data Supported Policy Making Through the Eyes of the PoliVisu Pilots -- 8.1.1 Data for Dialogue.

3.3.3 Proposals 3: Conceptualize Data as Democratic Artifact -- References -- 4 Innovation in Data Visualisation for Public Policy Making -- 4.1 Introduction: Data Visualisation Between Decision Support and Social Influence -- 4.2 Scoping the Experiences of Data Scientists -- 4.2.1 Multiple Data Source Management -- 4.2.2 Rigorous Data Integration -- 4.2.3 Actionable Information Delivery -- 4.2.4 Personalised User Experience -- 4.3 A Critical Eye on Technology Innovation Trends -- 4.4 Conclusions and Way Forward -- References -- Part IIThe PoliVisu Project -- 5 Policy-Related Decision Making in a Smart City Context: The PoliVisu Approach -- 5.1 Evidence-Based Policy Making and the Rise of ICT -- 5.2 ICT-Enabled Policy Making in a Smart City Context -- 5.3 The Unique Characteristics of the PoliVisu Approach ---

8.1.2 Between Precision and Usability -- 8.1.3 Proneness to Iterative Process -- 8.1.4 Actors Involved in Data Supported Policy Making -- 8.2 Bottlenecks and New Practices Detected in Policy Making -- 8.2.1 Bottlenecks -- 8.2.2 New Practices and Knowledge -- 8.3 Conclusions -- 8.3.1 Lessons Learnt from the PoliVisu Project -- 8.3.2 Some Recommendations -- References -- Acknowledgments.

001895424

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(Au-PeEL)EBL6511378

(MiAaPQ)EBC6511378

(OCoLC)1243073533