About

The Project

Large Science, Technology and Innovation (STI) datasets are processed on High Performance Computing (HPC) environment part of the European Open Science Cloud (EOSC) initiative. 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.

It will do so by involving multi-disciplinary teams to co-develop innovative analytics services, Natural Language Processing pipelines and Artificial Intelligence workflows and by exploiting open data, services and computational resources from the EOSC, HPC environments and federated distributed operations at the European Union, national and regional level.

It will ensure a cooperative environment where different actors can visualize, interact and analyze information. Through co-creation, IntelComp will adopt a living labs approach and will engage public policy makers, academia, industry, SMEs, local actors, civil society and citizens to explore, experiment with and evaluate STI policies at all stages. IntelComp will be targeting domains aligned with the European Agenda and the Horizon Europe Missions: Artificial Intelligence, Climate Change and Health.

IntelComp will specifically address the following objectives:

1. Understand the challenges of STI policy making via the development of a co-designed framework with stakeholders and citizens. (Conceptualization)
2. Create a data space of raw and processed STI related sources to exploit structured metadata and unstructured text. (Operationalization)
3. Develop a suite of AI models and analytical tools for STI analysis (NLP/ML services to extract, infer, translate, classify, correlate STI-relevant information). (Development)
4. Understand, analyze and validate STI policy models (agents, externalities, relationships, causalities, …) by developing an AI-assisted policy modeling multilingual platform comprising of IntelComp models, components and interactive visualization tools. (Development)
5. Deploy the IntelComp platform in HPC/HTC environment ensuring connection with EDI and emerging EOSC standards. (Operationalization)
6. Co-develop tools and policies via three Living labs on specific themes of high interest to public administration and society: AI, Health and Adaptation to Climate Change. (Co-creation)
7. Exploit IntelComp outputs through Dissemination, Communication, Capacity-Building, Piloting, Commercialisation & IP Protection activities aiming at maximising its impact (Sustainability)