Calls for Papers (special): International Journal of Public Administration in the Digital Age (IJPADA)


Special Issue On: Imagining the Engaged Citizen and Public in the Age of Social Media

Submission Due Date
5/1/2017

Guest Editors
Dr. Marco Adria

Introduction
Scholars and practitioners with expertise and experience in the area of public engagement, involvement, and deliberation are cordially invited to submit a paper proposal for a forthcoming special theme issue of IJPADA on Imagining the Engaged Citizen and Public in the Age of Social Media, to be published in 2017.

The use of public-involvement methods, such as citizen juries, panels, and polling, has increased since their introduction in the 1970s. Policy areas that have benefited from these methods include electoral reform, land-use planning, environmental assessment processes, human reproductive technology development, and health care delivery. New opportunities and challenges are emerging as a result of the arrival of social media on mobile electronic devices.

In this context, questions arise concerning who and what the concepts of citizen and public are and should be for governments, civil society, and activitists using online networks for citizen engagement, involvement, and deliberation. Some of these many questions may be mentioned. Does the Habermasian deliberative citizen remain an appropriate model in the new context? Or is there an emergent model of the citizen to which we should attend? In what ways are citizens becoming more or less engaged? Are we witnessing the creation of new publics? If so, how should we understand and respond to them? What is the relationship of new concepts of the public to previously existing concepts? Is the new context contributing to more social and economic equality, or less? What are the prospects for democratic innovations in the age of social media?

Objective
The special issue will contribute to the scholarly and professional discourse about who and what the concepts of citizen and public are and should be for governments, civil society, and activists using online networks for citizen engagement, involvement, and deliberation. The international context of the topic will be emphasized, and studies from all political and cultural domains qualify for consideration. Qualitative multi-case or mixed-methods studies are encouraged, along with longitudinal studies using secondary data or original questionnaire surveys.

Recommended Topics
Topics to be discussed in the special issue may include, but are not limited to, the following:

  • A new public or the old public revisited?
  • Assessing models of civic engagement emphasizing electronic communication
  • Comparing the polled citizen and the deliberative citizen
  • Competing theories and theorists of democracy in the age of social media
  • Increasing social and economic equality: Rhetoric and reality
  • Citizen journalism and the future of broadcast news
  • Changing conceptions of youth, minorities, women, and the aged as citizens
  • Citizens united or citizens divided?
  • Citizens as policy entrepreneurs
  • Online deliberation and its effects
  • The fate of Habermas’ theories of citizenship
  • Re-emergence of the news gatekeeper
  • Changing relationships between netizens and the public sphere


Submission Procedure
Researchers and practitioners are invited to submit 500-word Paper Proposals for the special issue on or before January 9, 2017. All submissions must be original and may not be under review by another publication.

Authors of approved Paper Proposals will be invited to submit a full paper. Full papers will be reviewed on a double-blind, peer review basis. Please see Important Dates below.

Paper Proposals must follow APA style for reference citations. Before submitting a Paper Proposal, you must consult the publisher’s submission guidelines: http://www.igi-global.com/publish/contributor-resources/before-you-write/.

Important Dates
January 9, 2017: Paper Proposal Submission Deadline (500 words)
January 23, 2017: Proposal Acceptance Notification
May 1, 2017: Full Paper Submission
July 3, 2017: Peer Review Results
September 4, 2017: Final chapter Submission
September 18, 2017: Final Acceptance Notification

All submissions and inquiries should be directed to the attention of:
Send inquiries and Paper Proposals electronically to Dr. Marco Adria: marco.adria@ualberta.ca

Special Issue On: Research in Political Engineering, Public Policy Engineering, Computational Politics, and Computational Public Policy

Submission Due Date
12/31/2017

Guest Editors
Ashu M. G. Solo, Maverick Technologies America Inc., USA

Introduction
Ashu M. G. Solo originated and defined the fields of political engineering, computational politics, public policy engineering, and computational public policy in Solo (2011) and elaborated on these fields in Solo (2014a, 2014b). Basic and advanced methods in engineering, computer science, mathematics, or natural science can be used for political decision making, analysis, modeling, optimization, forecasting, simulation, and expression as well as for public policy formulation, decision making, analysis, modeling, optimization, forecasting, and simulation. This will lead to greatly improved political decision making and public policy.

Political engineering is the application of engineering, computer science, mathematics, or natural science to solving problems in politics. Computational politics is the application of computer science or mathematics to solving problems in politics. Therefore, computational politics is a subset of political engineering. Political engineering and computational politics include, but are not limited to, principles and methods for political decision making, political analysis, political modeling, political optimization, political forecasting, political simulation, and political expression. Political engineering and computational politics are more technically, computationally, mathematically, and scientifically rigorous approaches to the field of political science.

Public policy engineering is the application of engineering, computer science, mathematics, or natural science to solving problems in public policy. Computational public policy is the application of computer science or mathematics to solving problems in public policy. Therefore, computational public policy is a subset of public policy engineering. Public policy engineering and computational public policy include, but are not limited to, principles and methods for public policy formulation, public policy decision making, public policy analysis, public policy modeling, public policy optimization, public policy forecasting, and public policy simulation. Public policy engineering and computational public policy are more technically, computationally, mathematically, and scientifically rigorous approaches to the field of public policy.

The term political engineering has been previously used to refer to designing political institutions. This is an abuse of the word engineering. As it has been previously used, the term political engineering does not require the creative application or development of mathematics, natural science, technical principles, or technical methods. Therefore, Ashu M. G. Solo has given a new and more appropriate definition to the term political engineering. Just like many terms in the dictionary have multiple meanings, the term political engineering can have multiple meanings.

Politicians often determine how to spend limited campaign funds on advertising in certain geographic areas based on their best guesses rather than on a rigorous mathematical and computational analysis of how funds should be allocated for the greatest benefit to their campaigns. Legislators usually determine spending priorities and budget allocations based on passions of the moment, special interest lobbying, parochial interests, ignorant public opinion, or their own ideological biases rather than on a rigorous mathematical and computational analysis of how spending priorities and budget allocations can be made for the greatest public benefit.

An example of political engineering and computational politics is determining the optimal allocation of election campaign funds or campaign resources. The 2012 presidential campaign of President Barack Obama made extensive use of data analytics (Scherer, 2012). An example of public policy engineering and computational public policy is the use of fuzzy logic to effectively quantify the values and beliefs of stakeholders and interested parties, environmental conditions, economic conditions, and social conditions to produce a much better environmental impact assessment (Shepard, 2005).

The definition of the new interdisciplinary fields of public policy engineering, computational public policy, political engineering, and computational politics will greatly increase the pace of research and development in these extremely important fields. Also, they establish new fields of study for universities for students who are interested in engineering, computer science, mathematics, natural science, politics, or public policy. Political engineering, computational politics, public policy engineering, and computational public policy are critical for the future success of politics and public policy. Click on the hyperlinks in the references (Solo, 2011; Solo, 2014a; Solo, 2014b) below for further information on public policy engineering, computational public policy, political engineering, and computational politics.

Objective
Although Ashu M. G. Solo defined and originated the fields of public policy engineering, political engineering, computational public policy, and computational politics (Solo, 2011; Solo, 2014a; Solo 2014b) to motivate more technically, computationally, mathematically, and scientifically rigorous approaches to public policy and politics and to establish new fields of study, there has been some research in these fields. This special issue of the International Journal of Public Administration in the Digital Age (IJPADA) will focus on research that has been done in the fields of political engineering, computational politics, public policy engineering, and computational public policy.

Recommended Topics
Recommended topics for this special issue include, but are not limited to, the following:
  • Political Decision Making, Analysis, Modeling, Optimization, Forecasting, Simulation, and Expression
    • political decision making under uncertainty
    • new technologies in politics
    • application of engineering to politics
    • application of computer science to politics
    • application of mathematics to politics
    • application of natural science to politics
    • application of operations research to politics
    • application of optimization methods to politics
    • uncertainty management in political decision making
    • application of computational intelligence methods to politics
    • application of fuzzy logic to politics
    • application of neural computing to politics
    • application of neural networks to politics
    • application of evolutionary computation to politics
    • application of genetic algorithms to politics
    • application of knowledge-based systems to politics
    • application of machine learning methods to politics
    • application of pattern recognition to politics
    • application of data mining to politics
    • application of analytics to politics
    • application of data integration to politics
    • application of data analysis to politics
    • application of data modeling to politics
    • application of exploratory data analysis to politics
    • application of confirmatory data analysis to politics
    • application of predictive analytics to politics
    • application of text analytics to politics
    • application of statistics to politics
    • application of data visualization to politics
    • application of data dissemination to politics
    • data-driven decision making in politics
    • application of data fusion to politics
    • application of multidimensional matrix mathematics to politics
    • application of decision theory to politics
    • application of game theory to politics
    • application of graph theory to politics
    • political forecasting
    • political modeling
    • political simulation
    • political visualization
    • political software tools
    • political campaign software tools
    • case studies

  • Public Policy Formulation, Decision Making, Analysis, Modeling, Optimization, Forecasting, and Simulation
    • public policy decision making under uncertainty
    • new technologies in public policy
    • application of engineering to public policy
    • application of computer science to public policy
    • application of mathematics to public policy
    • application of natural science to public policy
    • application of operations research to public policy
    • application of optimization methods to public policy
    • uncertainty management in public policy decision making
    • application of computational intelligence methods to public policy
    • application of fuzzy logic to public policy
    • application of neural computing to public policy
    • application of neural networks to public policy
    • application of evolutionary computation to public policy
    • application of genetic algorithms to public policy
    • application of knowledge-based systems to public policy
    • application of machine learning methods to public policy
    • application of pattern recognition to public policy
    • application of data mining to public policy
    • application of analytics to public policy
    • application of data integration to public policy
    • application of data analysis to public policy
    • application of data modeling to public policy
    • application of exploratory data analysis to public policy
    • application of confirmatory data analysis to public policy
    • application of predictive analytics to public policy
    • application of text analytics to public policy
    • application of statistics to public policy
    • application of data visualization to public policy
    • application of data dissemination to public policy
    • data-driven decision making in public policy
    • application of data fusion to public policy
    • application of multidimensional matrix mathematics to public policy
    • application of decision theory to public policy
    • application of game theory to public policy
    • application of graph theory to public policy
    • public policy forecasting
    • public policy modeling
    • public policy simulation
    • public policy visualization
    • public policy software tools
    • case studies


    Submission Procedure
    Researchers and practitioners are invited to submit abstract proposals by August 31, 2017 and full papers by December 31, 2017 for this special theme issue on Research in Political Engineering, Public Policy Engineering, Computational Politics, and Computational Public Policy. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. The author(s) of each submitted paper will be asked to review two other papers. Reviewers will be acknowledged in the special issue. Papers must follow APA style for reference citations.

    Important Dates
    August 31, 2017: Abstract proposal (one paragraph) submission deadline
    September 15, 2017: Abstract proposal acceptance notification
    December 31, 2017: Full research paper submission deadline
    March 31, 2018: Peer review results
    May 31, 2018: Final research paper submission deadline
    June 15, 2018: Final acceptance notification

    All submissions and inquiries should be directed to the attention of:
    Ashu M. G. Solo
    Email: amgsolo@mavericktechnologies.us
    Guest Editor
    International Journal of Public Administration in the Digital Age (IJPADA)

    References
    Scherer, M. (2012). Inside the Secret World of the Data Crunchers Who Helped Obama Win. Time. November 7, 2012. Available at http://swampland.time.com/2012/11/07/inside-the-secret-world-of-quants-and-data-crunchers-who-helped-obama-win/

    Shepard, R. B. (2005). Quantifying Environmental Impact Assessments Using Fuzzy Logic. New York: Springer. Available at http://www.springer.com/us/book/9780387243986 Shepard, R. B. (2005). Quantifying Environmental Impact Assessments Using Fuzzy Logic. New York: Springer. Available at http://www.springer.com/us/book/9780387243986

    Solo, A. M. G. (2011). The New Fields of Public Policy Engineering, Political Engineering, Computational Public Policy, and Computational Politics. In Proceedings of the 2011 International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government (EEE'11) (pp. 431-434). Available at http://worldcomp-proceedings.com/proc/p2011/EEE5211.pdf

    Solo, A. M. G. (2014a). The New Interdisciplinary Fields of Political Engineering and Computational Politics. In A. M. G. Solo (Ed.), Political Campaigning in the Information Age (pp. 226-232). Hershey, Penn.: IGI Global. Available at http://www.igi-global.com/chapter/the-new-interdisciplinary-fields-of-political-engineering-and-computational-politics/109123

    Solo, A. M. G. (2014b). The New Interdisciplinary Fields of Public Policy Engineering and Computational Public Policy. In A. M. G. Solo (Ed.), Political Campaigning in the Information Age (pp. 233-238). Hershey, Penn.: IGI Global. Available at http://www.igi-global.com/chapter/the-new-interdisciplinary-fields-of-public-policy-engineering-and-computational-public-policy/109124