Intelligent Allocation of School Districts in Berlin Tempelhof

Public sector Germany Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

This project in Berlin Tempelhof-Schöneberg uses an algorithm to design school districts that balance school capacity and shorten student commutes. It aims for social integration by distributing students across schools. Previously done manually, this process is now automated using public data, allowing for flexible adjustments. The system's visualizations enhance transparency and support public participation in planning decisions.

Resource Planning

iTwin by Bentley

Public sector United States of America Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

The iTwin platform by Bentley Systems enables the creation of digital twins for infrastructure, providing real-time data and insights to optimize performance and facilitate better decision-making. It integrates various sources like IoT, BIM, and GIS data into one cohesive view for project delivery, operations, and asset management. The platform empowers users to visualize, monitor, and analyze infrastructure throughout its lifecycle, offering collaboration tools that enhance communication and efficiency.

Monitoring and Control Resource Planning

Lili Search

Public sector France IRCAI Global Top 100

Lili Search is a platform designed to extract and organize information from diverse project documents, helping users to navigate and manage complex data more effectively. It primarily serves organizations, including public ones, involved in large-scale infrastructure projects by providing insights into project progress and risks through semantic data representation.

Resource Planning

Meersens

Public sector France IRCAI Global Top 100

Meersens' environmental intelligence suite helps smart cities monitor air quality, pollen levels, noise, and water quality, allowing them to proactively manage risks and improve health outcomes.

Data Validation Monitoring and Control Resource Planning Service Provision and Delivery

Parcel Monitoring Platform Flanders

Public sector Belgium Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

The Parcel Monitoring Platform Flanders, developed by Digitaal Vlaanderen and VITO, uses AI and geo-imaging to monitor land parcels in real-time. It supports data-driven policy decisions in areas like agriculture, energy, and urban planning. The platform processes Sentinel images and offers a time-series web service called ‘CropSAR’ for easy access to processed data. It combines satellite data with high-resolution imagery and field data for continuous monitoring. This system helps monitor EU Green Deal objectives, providing actionable insights for governmental agencies.

Data Validation Monitoring and Control Resource Planning

Particip.ai

Public sector Germany IRCAI Global Top 100

Particip.ai’s Crisis Contact Centers support refugees and people in crisis regions with accessible and objective information. With guidance and orientation, the platform connects people in needs with NGOs and public institutions.

Resource Planning Service Provision and Delivery

Signaux Faibles

Public sector France Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

Signaux Faibles is an open-source AI tool in France that analyzes public financial and social data to detect early signs of business distress. Using machine learning, it helps government agencies identify at-risk companies up to 18 months in advance, enabling timely intervention. Initially launched in Bourgogne, a region in eastern France, in 2016 and later expanded nationwide, the tool continuously improves through data refinement and transparency. Its open-source nature ensures adaptability, collaboration, and reduced bias in financial risk assessment.

Monitoring and Control Resource Planning

Statnett - Forecasting weather-dependent failures on power lines

Public sector Norway Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

Statnett, Norway's electricity transmission system operator, developed a service that predicts the probability of failures in overhead power lines due to weather conditions, particularly wind and lightning. The system utilizes historical failure data and weather statistics to create fragility curves for each line, indicating their vulnerability to specific weather events. By integrating these fragility curves with real-time weather forecasts from the Norwegian Meteorological Institute, the service calculates and updates failure probabilities for individual power lines. The results are visualized through an interactive dashboard, enabling system operators to anticipate and prepare for potential weather-induced failures effectively. This proactive approach enhances the reliability and resilience of Norway's power transmission network.

Monitoring and Control Resource Planning

Sustainable Municipal Operations using CITYROVER AI

Public sector Canada IRCAI Global Top 100

CITYROVER's AI automates data collection and infrastructure management for local governments and transit authorities by utilizing a vehicle-based AI camera to assess and report on infrastructure assets, enhancing operational efficiency and sustainability.

Data Validation Monitoring and Control Resource Planning

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