Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Empowering Government Efficiency Through Civic Intelligence: Merging Artificial Intelligence and Blockchain for Smart Citizen Proposals. / Nechesov, Andrey; Ruponen, Janne.
в: Technologies, Том 12, № 12, 271, 23.12.2024.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Empowering Government Efficiency Through Civic Intelligence: Merging Artificial Intelligence and Blockchain for Smart Citizen Proposals
AU - Nechesov, Andrey
AU - Ruponen, Janne
N1 - Сведения о финансировании Финансирующий спонсор Номер финансирования Analytical Center for the Government of the Russian Federation 000000D730324P540002 70-2023-001318
PY - 2024/12/23
Y1 - 2024/12/23
N2 - Civic intelligence (CI) represents the collective capacity of communities to address challenges, yet its integration with smart city infrastructure remains limited. This study bridges CI theory with technical implementation through a novel framework combining blockchain and AI technologies. Our approach maps core CI components (knowledge capital, system capital, and relational capital) to specific technical solutions: a civic engagement index for measuring participation quality, a tokenization framework for incentivizing meaningful engagement, and a governance optimization function for resource allocation. Using mixed-methods research, we developed and validated the conceptual CI governance (CIG) framework, which satisfies CI principles through smart contracts and AI-assisted interfaces. The empirical evaluation demonstrates both social and technical improvements: 40% increased civic participation rates, 85% governance efficiency maintenance, and significant gains in engagement quality metrics (knowledge sharing +32%, collective decision making +28%). While technical implementation shows promise, success requires the careful integration of social dynamics, digital literacy initiatives, and regulatory compliance. This research contributes to smart city development by providing a theoretically grounded, feasible framework that introduces the fusion of blockchain and AI technologies to enhance civic participation while preserving governance effectiveness.
AB - Civic intelligence (CI) represents the collective capacity of communities to address challenges, yet its integration with smart city infrastructure remains limited. This study bridges CI theory with technical implementation through a novel framework combining blockchain and AI technologies. Our approach maps core CI components (knowledge capital, system capital, and relational capital) to specific technical solutions: a civic engagement index for measuring participation quality, a tokenization framework for incentivizing meaningful engagement, and a governance optimization function for resource allocation. Using mixed-methods research, we developed and validated the conceptual CI governance (CIG) framework, which satisfies CI principles through smart contracts and AI-assisted interfaces. The empirical evaluation demonstrates both social and technical improvements: 40% increased civic participation rates, 85% governance efficiency maintenance, and significant gains in engagement quality metrics (knowledge sharing +32%, collective decision making +28%). While technical implementation shows promise, success requires the careful integration of social dynamics, digital literacy initiatives, and regulatory compliance. This research contributes to smart city development by providing a theoretically grounded, feasible framework that introduces the fusion of blockchain and AI technologies to enhance civic participation while preserving governance effectiveness.
KW - artificial intelligence
KW - blockchain technology
KW - civic intelligence
KW - digital citizenship
KW - smart cities
KW - smart governance
UR - https://www.mendeley.com/catalogue/175f24da-b2b8-316d-b708-238f1fa0cf83/
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85213449809&origin=inward&txGid=06a7c5a6f093e7fc71c6d10b070b9f50
U2 - 10.3390/technologies12120271
DO - 10.3390/technologies12120271
M3 - Article
VL - 12
JO - Technologies
JF - Technologies
SN - 2227-7080
IS - 12
M1 - 271
ER -
ID: 61413508