Evidence-based Policy Modeling
- D1.1 Report on the domain-specific needs and PA and stakeholder assessment in the three pilot domains
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.
- D1.2 Report on the selected measurement and data collection
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.
- D1.4 Policy brief on the use of AI and data-driven tools for STI policy design
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.
Natural Language Processing & Artificial Intelligence for STI analysis and modeling
- D3.1 Scalable NLP pipelines
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.
- D3.3. System for Subcorpus Generation
The system for subcorpus generation (domain classifier) is aimed at facilitating the classification of all documents from a given corpus according to a category that is specified by the user (an expert in the domain).
Engagement, Dissemination and Sustainability
- D7.5 Dissemination and Communication Report (draft)
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.
Project Management and Coordination
- D8.2 Data management plan
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.