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Public AI Challenge – selected PA departments

   

2023

Comune Trento_AI23

Municipality of Trento. Innovation and Digital Transition Service – Mobility and Urban Regeneration Project.

In order to monitor both public and private urban mobility and as part of the objectives included within PUMS, PAESC and Biciplan, it is required to develop a model capable of predicting traffic peaks in the city’s main thoroughfares well in advance, using data from bus circulation and data from road sensors.

APSS_AI23

Provincial Company for Health Services. Operational Unit of Health Physics, specifically, quality assurance program on radiological equipment.

Starting from a storage of radiological images (11 years) acquired during equipment quality control activities, it is requested to create a predictive model that automatically detects a worsening trend in digital image control parameters and then pre-emptively alerts to exceeding tolerances.

Muse_AI23 (1)

MUSE. Trento Museum of Natural Sciences

Through the analysis of satellite images, develop a model that can recognize the contours of a glacier (polygonation) as well as automatically recognize the equilibrium line (and relative elevation) of a glacier. This makes it possible to track the impact of the current climate crisis in terms of glacial resource and, therefore, water.

PAT_AI23

Department of Territory and Transport, Environment, Energy, Cooperation of the Autonomous Province of Trento – Sustainable Development and Protected Areas Service, and Water Resources and Energy Agency (APRIE).

The Challenge is to analyze traffic data from the road network, weather data, and telephone traffic data to obtain a forecast model of peak tourism in specific geographic areas with the aim of reducing vehicular traffic in environmentally valuable areas.

2022

Progetto Fondo Caproni

The Strategic Mission Unit for the Protection and Promotion of Cultural Heritage and Activities has among its functions the study, protection, preservation and enhancement, promotion and
enjoyment of the provincial cultural heritage to which the Caproni Collection belongs. The Caproni Collection is the oldest aviation-themed collection in the world and consists of historic aircraft and engines, historical and artistic assets, and archival and library materials, as well as more than 200,000 phototypes.

The Challenge calls for the development of an AI application that, given a database of historical photographs scans that make up the selected photographic fund, returns a thematic subdivision of the same. Once the thematic selection has been made, the program must also accompany the file with essential descriptive information (metadata).

Meteo Trentino

Meteotrentino is a structure of the Autonomous Province of Trento established in 1997 that deals with meteorology, snow and glaciology. Meteotrentino is part of the Civil Defense organization and collaborates with several other provincial and national level structures with similar purposes.

The candidate challenge requires the development of an AI system for the validation of weather data from Meteotrentino’s network of stations, identifying any errorsin the measurement (missing data, anomalies with respect to climatology and neighboring or similar altitude stations, …) and improving the final quality of the archived weather data.

APSS

The Operative Diagnostic Neuroradiology and Interventional Radiology Unit and the Laboratory of Neuroinformatics are collaborating to test computational methods for radiomics, a new method of analysis based on large amounts of data.

Starting with a database of brain neuroimages annotated by experts and publicly available for research purposes, it is required to develop a model to automatically obtain a segmentation of major brain tissues. The goal is to train a machine learning method to improve the segmentation of MRI neuroimages in the case of patients with malformations–congenital or acquired. The challenge is to demonstrate that in the clinical case a data-driven approach can be more effective than a model-based approach.

APRIE

The Studies and Planning Office, which depends on APRIE (Provincial Agency for Water Resources and Energy), has among its responsibilities the implementation of the Use of Public Waters’ General Plan, promoting in this regard appropriate studies and research in support of the activities incumbent on the Province in the area of basin planning.

The Challenge is to develop a predictive model of irrigation withdrawal, considering weather-climate variables and land use. This would provide advance knowledge of the agricultural sector’s consumption and thus be able to act more accurately regarding water resource rationalization actions.

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