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Improving City Life via Legitimate and Participatory Policy-making: A Data-driven Approach in Switzerland

Published: 11 July 2023 Publication History
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  • Abstract

    This paper introduces a novel data-driven approach to address challenges faced by city policymakers concerning the distribution of public funds. Providing budgeting processes for improving quality of life based on objective (data-driven) evidence has been so far a missing element in policy-making. This paper focuses on a case study of 1,204 citizens in the city of Aarau, Switzerland, and analyzes survey data containing insightful indicators that can impact the legitimacy of decision-making. Our approach is twofold. On the one hand, we aim to optimize the legitimacy of policymakers’ decisions by identifying the level of investment in neighborhoods and projects that offer the greatest return in legitimacy. To do so, we introduce a new context-independent legitimacy metric for policymakers. This metric allows us to distinguish decisive vs. indecisive collective preferences for neighborhoods or projects on which to invest, enabling policymakers to prioritize impactful bottom-up consultations and participatory initiatives (e.g., participatory budgeting). The metric also allows policymakers to identify the optimal number of investments in various project sectors and neighborhoods (in terms of legitimacy gain). On the other hand, we aim to offer guidance to policymakers concerning which satisfaction and participation factors influence citizens’ quality of life through an accurate classification model and an evaluation of relocations. By doing so, policymakers may be able to further refine their strategy, making targeted investments with significant benefits to citizens’ quality of life. These findings are expected to provide transformative insights for practicing direct democracy in Switzerland and a blueprint for policy-making to adopt worldwide.

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    Cited By

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    • (2024)How voting rules impact legitimacyHumanities and Social Sciences Communications10.1057/s41599-024-03056-811:1Online publication date: 29-May-2024
    • (2024)Fair and Inclusive Participatory Budgeting: Voter Experience with Cumulative and Quadratic Voting InterfacesDesign for Equality and Justice10.1007/978-3-031-61698-3_6(65-71)Online publication date: 9-Jul-2024
    • (2023)Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement LearningMachine Learning, Optimization, and Data Science10.1007/978-3-031-53969-5_1(1-14)Online publication date: 22-Sep-2023

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    Published In

    cover image ACM Other conferences
    dg.o '23: Proceedings of the 24th Annual International Conference on Digital Government Research
    July 2023
    711 pages
    ISBN:9798400708374
    DOI:10.1145/3598469
    This work is licensed under a Creative Commons Attribution International 4.0 License.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 July 2023

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    Author Tags

    1. data science
    2. decision-making
    3. legitimacy
    4. participation
    5. participatory budgeting
    6. policy-making
    7. quality of life

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    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • UKRI Future Leaders Fellowship: ?Digitally Assisted Collective Governance of Smart City Commons?ARTIO?
    • SNF NRP77 ?Digital Transformation? project Digital Democracy: Innovations in Decision-making Processes

    Conference

    dg.o 2023
    dg.o 2023: Digital government and solidarity
    July 11 - 14, 2023
    Gda?sk, Poland

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    Overall Acceptance Rate 150 of 271 submissions, 55%

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    View all
    • (2024)How voting rules impact legitimacyHumanities and Social Sciences Communications10.1057/s41599-024-03056-811:1Online publication date: 29-May-2024
    • (2024)Fair and Inclusive Participatory Budgeting: Voter Experience with Cumulative and Quadratic Voting InterfacesDesign for Equality and Justice10.1007/978-3-031-61698-3_6(65-71)Online publication date: 9-Jul-2024
    • (2023)Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement LearningMachine Learning, Optimization, and Data Science10.1007/978-3-031-53969-5_1(1-14)Online publication date: 22-Sep-2023

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