Deliverables

This deliverable provides a framework of Science, Technology and Innovation (STI) policy for the IntelComp platform, which will be tested in three domains: artificial intelligence, climate change/blue economy and health/cancer.

This document translates the conceptual framework of the IntelComp platform into concrete measurements and data sources. It also explains the services of the platform which are required for the calculation of the identified measurements.

This document provides a first look at the rationale and the potential of using Artificial Intelligence-based tools in Science, Technology and Innovation policy. In addition, this deliverable deals with the challenges these tools face.

The Intelcomp NLP pipeline can be defined as a collection of tools that apply the requested transformations to unstructured textual data, which will be used by the Intelcomp services (document classification, subcorpus generation, topic modeling, etc.) as a preliminary step to process the datasets of interest.

Task 3.3 proposes to design a system that allows identifying the documents belonging to a target domain (e.g. cancer, artificial intelligence, etc.) through an expert-in-the-loop approach that allows integrating expert knowledge in the classification model.

This monitoring report on the execution of the Dissemination and Communication Plan (DCP) of the IntelComp Project describes the communication channels and materials developed to reach the main target groups of the Plan: Public Administration, Society, Industry and Academia.

This deliverable provides an overview of the activities characterizing data management in the project based on the Horizon 2020 policy and FAIR guidelines. This version of the DMP details the types of datasets collected, generated and used within the project, focusing on re-used datasets, and draws a first picture of how they are expected to be handled by / in the IntelComp STI Data Space.