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231204s2021 xx o ||||0 eng d |
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|a 9783030636937
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|a (MiAaPQ)EBC6511378
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|a (Au-PeEL)EBL6511378
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|a G1100#8209
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|a 3102
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|a Concilio, Grazia.
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|a The Data Shake :
|b Opportunities and Obstacles for Urban Policy Making.
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|a 1st ed.
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|a Cham :
|b Springer International Publishing AG,
|c 2021.
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|c ©2021.
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|a 1 online resource (134 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a SpringerBriefs in Applied Sciences and Technology Series
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|a 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 -- 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).
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|a 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.
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|a 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.
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|a Description based on publisher supplied metadata and other sources.
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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|a Electronic books.
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|a Pucci, Paola.
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|a Raes, Lieven.
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| 700 |
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|a Mareels, Geert.
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|i Print version:
|a Concilio, Grazia
|t The Data Shake
|d Cham : Springer International Publishing AG,c2021
|z 9783030636920
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| 797 |
2 |
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|a ProQuest (Firm)
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| 830 |
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|a SpringerBriefs in Applied Sciences and Technology Series
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| 856 |
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=6511378
|z Click to View
|
