A Competitive Intelligence Cloud/High Performance Computing Platform for Artificial Intelligence-based Science, Technology and Innovation Policy Making.
Large Science, Technology and Innovation (STI) datasets are processed on High Performance Computing (HPC) environment part of the European Open Science Cloud (EOSC) imitative. Public administration at all geographical and organizational levels, STI stakeholders and civil society produce a great amount of dynamic, multilingual and heterogeneous data (i.e. national STI strategies, plans and work programmes, calls, projects, reports, scientific publications, patents, dissemination articles, etc.), so understanding and analyzing this data is crucial for evidence-based policy making.
The objective of IntelComp is to deliver a platform that provides tools for assisting the whole spectrum of STI policy, i.e., agenda setting, modeling design, implementation, monitoring and evaluation.
Solutions based on artificial intelligence for improving and automatizing tasks of governments and research funders in several stages of the policy-cycle: solutions to gather intelligence, engage policy stakeholders, data-driven decisions for funding, proposal management and program monitoring and evaluation.
The IntelComp Integrated Solution encompasses 6 tools for Science, Technology and Innovation (STI) policymaking: STI Dataspace, Interactive Model Trainer, STI Viewer, STI Policy Participation Portal, Evaluation Workbench, and Graph Explorer.
The IntelComp project has produced 3 policy briefs aimed at policymakers/research funders on the IntelComp tools’ benefits for policymaking in science, technology and innovation.
The work in the IntelComp project showed that the ability to leverage vast amounts of data from various sources (both new and conventional) and the potential to utilise cutting-edge AI Models (including deep learning, Natural Language Processing, and Large Language Models) tailored for STI policy, will equip policymakers with a versatile toolbox.
A synthesis of the approach of the IntelComp project to use artificial intelligence-based tools for science, technology and innovation policy.
A generic brief on the use of these tools in artificial intelligence-based tools for science, technology and innovation policy.
Living Lab Use Cases
The IntelComp Integrated Solution has been co-designed and tested in 3 complex domains: R&D for artificial intelligence; science, technology and innovation activities for sustainable energy and agrifood; and cancer research. These use cases followed a living lab methodology involving public administrations and policy stakeholders from academia, industry and civil society organisations. Set in France, Greece and Spain, the Living Labs showed the applicability and re-usability of the IntelComp Integrated Solution in different countries and scientific and technological domains. Learn more
The IntelComp Project has produced 8 scientific publications in open access repositories to make our results public to scientific communities researching in Natural Language Processing and in Science, Technology and Innovation Policy for Sustainable Development.
SCINOBO: a novel system classifying scholarly communication in a dynamically constructed hierarchical Field-of-Science taxonomy
The project's progress and results were recorded in a series of project deliverables, 19 of which are Open Access. Access the project reports and discover the details of the work performed by IntelComp