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Policy Practice and Digital Science

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Cover of 'Policy Practice and Digital Science'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Policy-Making in the Digital Age
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    Chapter 2 Educating Public Managers and Policy Analysts in an Era of Informatics
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    Chapter 3 The Quality of Social Simulation: An Example from Research Policy Modelling
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    Chapter 4 Policy Making and Modelling in a Complex World
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    Chapter 5 From Building a Model to Adaptive Robust Decision Making Using Systems Modeling
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    Chapter 6 Features and Added Value of Simulation Models Using Different Modelling Approaches Supporting Policy-Making: A Comparative Analysis
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    Chapter 7 A Comparative Analysis of Tools and Technologies for Policy Making
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    Chapter 8 Value Sensitive Design of Complex Product Systems
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    Chapter 9 Stakeholder Engagement in Policy Development: Observations and Lessons from International Experience
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    Chapter 10 Values in Computational Models Revalued
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    Chapter 11 The Psychological Drivers of Bureaucracy: Protecting the Societal Goals of an Organization
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    Chapter 12 Active and Passive Crowdsourcing in Government
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    Chapter 13 Management of Complex Systems: Toward Agent-Based Gaming for Policy
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    Chapter 14 The Role of Microsimulation in the Development of Public Policy
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    Chapter 15 Visual Decision Support for Policy Making: Advancing Policy Analysis with Visualization
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    Chapter 16 Analysis of Five Policy Cases in the Field of Energy Policy
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    Chapter 17 Challenges to Policy-Making in Developing Countries and the Roles of Emerging Tools, Methods and Instruments: Experiences from Saint Petersburg
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    Chapter 18 Sustainable Urban Development, Governance and Policy: A Comparative Overview of EU Policies and Projects
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    Chapter 19 eParticipation, Simulation Exercise and Leadership Training in Nigeria: Bridging the Digital Divide
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Mentioned by

2 tweeters
1 Facebook page


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72 Mendeley
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Policy Practice and Digital Science
Published by
Springer Nature, January 2015
DOI 10.1007/978-3-319-12784-2
978-3-31-912783-5, 978-3-31-912784-2

Marijn Janssen, Maria A. Wimmer, Ameneh Deljoo

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
Mexico 1 1%
Greece 1 1%
Austria 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Student > Master 10 14%
Professor > Associate Professor 6 8%
Student > Postgraduate 5 7%
Student > Bachelor 4 6%
Other 18 25%
Unknown 7 10%
Readers by discipline Count As %
Social Sciences 19 26%
Computer Science 10 14%
Engineering 8 11%
Decision Sciences 4 6%
Business, Management and Accounting 4 6%
Other 15 21%
Unknown 12 17%