TY - GEN
T1 - Crystallizing local political knowledge for informed public participation
AU - Cai, Guoray
AU - Sun, Feng
AU - Kropczynski, Jessica
N1 - Funding Information:
Acknowledgments. We acknowledge the support of this research by NSF under award IIS-1211059. The work of the first author is also partially supported by a grant from the Chinese Natural Science Foundation under award 71373108.
Publisher Copyright:
© 2017, IFIP International Federation for Information Processing.
PY - 2017
Y1 - 2017
N2 - Municipal governments often struggle to inform and engage citizens around local issues. Due to complexities of local politics and the diverse expressions in public and private spheres, citizens face a huge information barrier towards meaningful participation. To overcome such barrier, we explore a solution to provide citizens with clear, useful, and trustworthy information. We describe a framework for accomplishing this goal through issue-based knowledge crystallization. In order to put this framework into test, we devised Community Issue Review (CIR) as a concrete process for crystallizing local political knowledge. CIR is a structured deliberative process that use a citizen panel to conduct analysis of data relevant to a pending issue. We describe CIR in three aspects of its functions: institutional design, deliberative process, and productive outcome. Three special characteristics of CIR are emphasized: (1) fully embedded within local decision-making context; (2) hybrid (face-to-face and online) deliberation; (3) facilitation on collaborative decision-analysis. We present the iterative design of the CIR process and the lessons learned from field practices in a local community.
AB - Municipal governments often struggle to inform and engage citizens around local issues. Due to complexities of local politics and the diverse expressions in public and private spheres, citizens face a huge information barrier towards meaningful participation. To overcome such barrier, we explore a solution to provide citizens with clear, useful, and trustworthy information. We describe a framework for accomplishing this goal through issue-based knowledge crystallization. In order to put this framework into test, we devised Community Issue Review (CIR) as a concrete process for crystallizing local political knowledge. CIR is a structured deliberative process that use a citizen panel to conduct analysis of data relevant to a pending issue. We describe CIR in three aspects of its functions: institutional design, deliberative process, and productive outcome. Three special characteristics of CIR are emphasized: (1) fully embedded within local decision-making context; (2) hybrid (face-to-face and online) deliberation; (3) facilitation on collaborative decision-analysis. We present the iterative design of the CIR process and the lessons learned from field practices in a local community.
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U2 - 10.1007/978-3-319-64322-9_5
DO - 10.1007/978-3-319-64322-9_5
M3 - Conference contribution
AN - SCOPUS:85028954498
SN - 9783319643212
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 53
EP - 64
BT - Electronic Participation - 9th IFIP WG 8.5 International Conference, ePart 2017, Proceedings
A2 - Saebo, Oystein
A2 - Parycek, Peter
A2 - Pardo, Theresa A.
A2 - Charalabidis, Yannis
A2 - Tambouris, Efthimios
A2 - Chugunov, Andrei V.
A2 - Panagiotopoulos, Panos
PB - Springer Verlag
T2 - 9th IFIP WG 8.5 International Conference on Electronic Participation, ePart 2017
Y2 - 4 September 2017 through 7 September 2017
ER -