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Created by the Public Governance Directorate

This website was created by the OECD Observatory of Public Sector Innovation (OPSI), part of the OECD Public Governance Directorate (GOV).

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Cities often invest in traffic solutions based on guesswork, wasting public money on interventions that may not work. Joinville built a Smart Mobility methodology that combines real-time traffic data from a partnership with Waze and open-source traffic simulation software (SUMO) to test solutions digitally before any physical work begins. This evidence-based approach has made mobility decisions faster, cheaper, and more effective — saving public funds and improving daily life for residents.
AI tool integrated into the national OuvidorSUS platform developed by the General Ombudsman’s Office of the Brazilian Ministry of Health is innovation meant to enhance the Public Health System’s responsiveness to citizens. Platform which - used by more than 2k health ombudsman offices - is enhanced by artificial intelligence to organize and analyse citizens’ submissions and optimize workflows. This allows staff to focus on meaningful human engagement while enabling decision-makers to…
The National Digital Data Platform is Italy’s secure data-sharing infrastructure that allows public institutions to reuse each other’s information instead of repeatedly asking citizens and businesses for the same data. It simplifies access to services, reduces administrative burden and enables data-driven government through a common, trusted API-based interoperability layer.
Greece lacked comparable Environmental, Social and Governance (ESG) data across firms. The National ESG Data Map (esg.ekt.gr) is a public digital platform that collects data from trusted sources, standardises them and publishes comparable ESG indicators and dashboards for businesses and policy makers. It supports targeted policy and green finance decisions and helps companies prepare for EU sustainability reporting.
Developed by the Ministry of Health to analyze data flowing from all healthcare facilities in real time, SINA is an advanced, big data-driven decision support platform that enables real-time data visualization, interpretation, and comparison. Integrated with the AI assistant JAS in 2026, SINA allows users to gain insights by asking questions in natural language. By leveraging big data and causal analysis, SINA improves health policies, service delivery, and public health outcomes.
Indonesia ranks as world's second most disaster-prone country, with climate-related losses reaching Rp50 trillion (±USD 3 billion) annually. Over 75,000 villages bear the greatest burden of climate and disaster risks, yet often lack the data needed to allocate climate and disaster budgets effectively. IRID Dashboard, developed by the Ministry of Finance, integrates climate risk indices, village budgets, and fiscal transfers into one free, map-based platform. Users can filter and analyze data…
Subway HVAC systems were mostly managed after failures or through routine inspections, leaving gaps in reliability and station air-quality control. Incheon Transit Corporation built an AIoT platform that uses vibration and noise sensors with AI analytics to detect early warning signs and support maintenance decisions. It is innovative because it combines predictive diagnosis, maintenance history and parts-cycle management in one operational platform.
Securing Foreign Pension Rights via AI & Big Data “Finding Hidden Foreign Pensions” Proactive Identification: Using AI-based data analysis to preemptively identify and notify potential beneficiaries. Transforming the Claim Support Process: From a passive approach to a scientific, data-driven identification method. Impact: Reversed the annual decline, expanding eligibility guidance eightfold from 202 in 2024 to 1,525 in 2025
Conecta is a platform that allows public administrators to use technology to anticipate problems faced by cities during extreme weather events, such as flooding, landslides, accidents, and fallen trees. The platform integrates and unifies real-time alerts from different technological sources, enabling faster decision-making and more effective emergency response. Additionally, all the data generated and compiled will allow society to understand new reality and measure how efficiently public…
Guatemala's Mano a Mano transforms fragmented social policy into an integrated, data-driven system. By creating the Social Household Registry (RSH) and a coordination system, the innovation eliminates institutional silos, reduces clientelism, and enables real-time tracking of interventions across 11 institutions—resulting in more precise targeting of vulnerable households and measurable reductions in poverty and malnutrition through coordinated territorial interventions.