Digital Twins In Public Governance: Transition from Reactive Response to Predictive Ecosystem
Digital Twins In Public Governance: Transition from Reactive Response to Predictive Ecosystem
Abstract Submissions Closed
TG05 Famine and Society (host committee)
Language: English
Session Type: Oral
Public administration systems worldwide confront a critical structural challenge: fragmented institutional architectures and reactive decision-making paradigms that respond to crises ex post facto rather than preventing them ex ante. This session examines the potential of digital twins as integrated socio-technical ecosystems for predictive governance, drawing upon comparative institutional experiences from Russia and India.
Digital twins represent a fundamental reconceptualization of state-citizen interfaces, inter-agency coordination mechanisms, and evidence-based policy formulation processes. By integrating disparate departmental information systems into unified data platforms powered by artificial intelligence, machine learning, real-time analytics, and predictive modeling, governmental institutions can transition from reactive «firefighting» modes toward proactive crisis prevention and strategic forward planning.
This session convenes scholars and practitioners from Russia and India to interrogate: architectural frameworks for regional and national digital twin ecosystems; institutional barriers impeding inter-agency data integration; normative and ethical considerations surrounding AI-driven public decision-making; and measurable outcomes pertaining to administrative efficiency, fiscal optimization, and public service delivery quality.
The Russian case presents a comprehensive digital twin model for regional economic governance, targeting 32,8% gross regional product growth and 66,7% tax revenue enhancement by 2030 through predictive analytics. The Indian experience offers critical insights into large-scale digital infrastructure deployment across heterogeneous federal contexts. Collectively, these perspectives illuminate developmental pathways for Global South nations pursuing digital sovereignty while mitigating technological dependency risks.
We invite scholarly contributions addressing comparative governance models, implementation challenges, institutional capacity-building requirements public administration. This session aims to establish a robust research agenda positioning digital twins as instruments of public governance.
Digital twins represent a fundamental reconceptualization of state-citizen interfaces, inter-agency coordination mechanisms, and evidence-based policy formulation processes. By integrating disparate departmental information systems into unified data platforms powered by artificial intelligence, machine learning, real-time analytics, and predictive modeling, governmental institutions can transition from reactive «firefighting» modes toward proactive crisis prevention and strategic forward planning.
This session convenes scholars and practitioners from Russia and India to interrogate: architectural frameworks for regional and national digital twin ecosystems; institutional barriers impeding inter-agency data integration; normative and ethical considerations surrounding AI-driven public decision-making; and measurable outcomes pertaining to administrative efficiency, fiscal optimization, and public service delivery quality.
The Russian case presents a comprehensive digital twin model for regional economic governance, targeting 32,8% gross regional product growth and 66,7% tax revenue enhancement by 2030 through predictive analytics. The Indian experience offers critical insights into large-scale digital infrastructure deployment across heterogeneous federal contexts. Collectively, these perspectives illuminate developmental pathways for Global South nations pursuing digital sovereignty while mitigating technological dependency risks.
We invite scholarly contributions addressing comparative governance models, implementation challenges, institutional capacity-building requirements public administration. This session aims to establish a robust research agenda positioning digital twins as instruments of public governance.
Session Organizer: