AI4PublicPolicy / News (Page 2)

In recent years, the surge in Machine Learning (ML) performance, fueled primarily by Deep Learning (DL), has elevated its practical significance across various domains, including speech, image, and text processing. As ML techniques find applications in critical settings, such as the use of Convolutional Neural...

In the first part of our blogs on the Catalogue for Policies & Datasets component, we described its functionality and its data representation. The data described in the previous blog is stored in the AI4PublicPolicy Dataset Catalogue and could be accessed by a user through a...

The Catalogue for Policies & Datasets is a component which lists all Policies and Datasets related to AI4PublicPolicy. All information pertinent to the execution of the project are made available through this component. This, in turn, grants policy makers access to the existing policies and...

In the first part of our blog about the Policy Linking and Sharing component, we focused on the Policy Sharing subcomponent. In this second part, we shift our focus to the Policy Linking subcomponent. The Policy Linking subcomponent plays a crucial role in detecting policies with...

In this blog, we highlight the Policy Linking and Sharing component, focusing on one of its subcomponents, the Policy Sharing. The Policy Linking and Sharing component serves the purpose of translating and linking policies and dataset definitions from different stakeholders within the AI4PublicPolicy platform. It is...

In this blog, we present a summary description of five data models that were chosen for internal testing of the AI4PublicPolicy Semantic Interoperability Toolkit. These data models were selected based on their capability to represent a diverse range of information. It is important to note,...

Accessing datasets is essential for AI models used in policymaking. Having more complete and diverse datasets can lead to more accurate policy evaluations. To increase the number of datasets, a Dataset Discovery mechanism is required to identify relevant sources and make use of their data. However,...

This blog describes the approach adopted in AI4PublicPolicy for making queries to the database where the content of several Data Models is stored. This task determines the capability of the matchmaking solution to efficiently retrieve similar content, regardless of it being structured differently in each...

This blog post serves as a follow-up to our previous article, "Understanding Data Models," where we delved into the analysis and explanation of Data Models. In this blog post, we'll illustrate the operation of Data Model Representation. To support the representation of several Data Models in...

In the context of the European Mobility Week (16-22 September), the Genoa AI4PublicPolicy pilot had the chance to interact with local and regional stakeholders by taking part to an insightful Urban Security Seminar held on 19 September 2023. The event was hosted at Palazzo Tursi and...