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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 изданияхстатьяРецензирование

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@article{6afeae30031f465bae3608f00760c832,
title = "Empowering Government Efficiency Through Civic Intelligence: Merging Artificial Intelligence and Blockchain for Smart Citizen Proposals",
abstract = "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.",
keywords = "artificial intelligence, blockchain technology, civic intelligence, digital citizenship, smart cities, smart governance",
author = "Andrey Nechesov and Janne Ruponen",
note = "Сведения о финансировании Финансирующий спонсор Номер финансирования Analytical Center for the Government of the Russian Federation 000000D730324P540002 70-2023-001318",
year = "2024",
month = dec,
day = "23",
doi = "10.3390/technologies12120271",
language = "English",
volume = "12",
journal = "Technologies",
issn = "2227-7080",
publisher = "MDPI AG",
number = "12",

}

RIS

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