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A Competitive Intelligence Cloud/HPC Platform for AI-based STI Policy Making

Deliverables

Report on the Health Living Lab

Reports will be generated for all the living labs in the project to document user experience with the IntelComp platform, the main actions that were undertaken for co-creation of the platform visualizers and final evaluations of the capacity of the IntelComp tools in meeting the needs of Public Administrations and in involving stakeholders in policy processes.First reports will be delivered in M33 and circulated among all actors involved in each living lab. Consensuated final versions will be published at the conclusion of the project.

Dissemination and Communication Report

Report including the Dissemination and Communication Plan (DCP) and its updates (M24 and M36) as well as report on the dissemination and communication materials created and activities conducted.

Report on the selected measurement and data collection

D12 Report on the selected measurement and data collection M12 TG The report will provide an overview of the information that is to be extracted indicators models types of graphs etc and recommendations on how to make the tools as actionable as possible It will include the selection of domainspecific indicators to allow for measurement and calculations in order to be able to make the data comparable Subsequently the available data traditional data new data and analytics will be mapped and the use of data analytics will be determined

Report on the domain-specific needs and PA and stakeholder assessment in the three pilot domains

D11 Report on the domainspecific needs and PA and stakeholder assessment in the three pilot domains M6 TG The report will provide comprehensive analysis of the domainspecific regulatory context It will include an overview of the relevant policies strategies on local regional and national level and roadmaps an overview of the relevant targets policy objectives policy outcomes and measurement use cases and KPIs

Report on the Adaptation to Climate Change Living Lab

Reports will be generated for all the living labs in the project to document user experience with the IntelComp platform, the main actions that were undertaken for co-creation of the platform visualizers and final evaluations of the capacity of the IntelComp tools in meeting the needs of Public Administrations and in involving stakeholders in policy processes.First reports will be delivered in M33 and circulated among all actors involved in each living lab. Consensuated final versions will be published at the conclusion of the project.

Policy brief on the use of AI and data-driven tools for STI policy design

D14 Policy brief on the use of AI and datadriven tools for STI policy design M6 M24 M36 TG A first draft will be published on M6 and it will be updated yearly according to experience gained from the living labs

Report on the Artificial Intelligence Living Lab

Reports will be generated for all the living labs in the project to document user experience with the IntelComp platform, the main actions that were undertaken for co-creation of the platform visualizers and final evaluations of the capacity of the IntelComp tools in meeting the needs of Public Administrations and in involving stakeholders in policy processes.First reports will be delivered in M33 and circulated among all actors involved in each living lab. Consensuated final versions will be published at the conclusion of the project.

Legal and ethics management report

A report explaining how ethical and legal issues have been managed along the project will be presented in M31. An update will be provided in the Final Report (M36).

Policy brief on the use of AI and data-driven tools for STI policy design – final version

Policy brief on the use of AI and data-driven tools for STI policy design, M6, M24, M36 [TG]: A first draft will be published on M6, and it will be updated yearly according to experience gained from the living labs

Time Analysis Service

Detection of emerging topics using dynamic topic models and graph analysis. Lead lag analysis.

System for subcorpus generation

The SW will include the intelligence for the selection of the relevant documents for a selected field, and a graphic tool to facilitate expert annotation.

Scalable NLP pipelines

Pipelines will be implemented for all considered languages both for HPC and computer cluster execution environments

Topic Modeling Service

Topic model implementations, and trained models for the project datasets. Federated topic model implementations for cluster and HPC platforms. Accompanying documentation.

Classification service

Module based on automatic classification for estimating the best fitting class of a taxonomy for an input text document. Accompanying evaluation documentation.

Graph analysis toolbox

A first version implementing several document similarities will be delivered in M12, and a final version including graph calculation, layout and analysis algorithms in M24.

IntelComp platform tools

Integration of visualization tools and release of all IntelComp tools: STI Viewer, Evaluation Workbench, and STI Policy Participation Portal. The first release will already be co-created with users through the tasks in WP6; a second release is expected for M30.

Data management plan

D82 Data Management Plan M6 OPENAIRE This deliverable will be developed using the OpenAIRE Argos DMP service argosopenaireeu in line with the Guidelines on FAIR Data Management in Horizon 2020 It will be revisited at M18

Data management plan – final version

This deliverable will be developed using the OpenAIRE Argos DMP service (argos.openaire.eu) in line with the Guidelines on FAIR Data Management in Horizon 2020. It will be revisited at M18.

Publications

A weakly supervised textual entailment approach to zero-shot text classification

Author(s): Marc Pàmies, Joan Llop, Francesco Multari, Nicolau Duran-Silva, César Parra-Rojas, Aitor Gonzalez-Agirre, Francesco Alessandro Massucci, and Marta Villegas
Published in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023, Page(s) pages 286–296
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2023.eacl-main.22

ITMT: Interactive Topic Model Trainer

Author(s): Lorena Calvo Bartolomé, José Antonio Espinosa Melchor, and Jerónimo Arenas-garcía
Published in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2023, Page(s) pages 43–49
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2023.eacl-demo.6

Accelerating Science-Driven Blue Growth via a Competitive Intelligence Cloud/HPC Platform for AI-Based STI Policy Making

Author(s): Koundouri, P.; Theodossiou, N.; Ioannidis, Y.; Papageorgiou, H.; Papandreou, A.; Papadaki, L.; Stavridis, C.
Published in: Proceedings of The 9th International Conference on Sustainable Development, 2022
Publisher: MDPI
DOI: 10.3390/environsciproc2022015068

Argumentation Mining in Scientific Literature for Sustainable Development

Author(s): Aris Fergadis, Dimitris Pappas, Antonia Karamolegkou Haris Papageorgiou
Published in: Proceedings of the 8th Workshop on Argument Mining, pages 100–111, Punta Cana, Dominican Republic. Association for Computational Linguistics, 2021
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2021.argmining-1.10

SciNoBo: A Hierarchical Multi-Label Classifier of Scientific Publications

Author(s): Nikolaos Gialitsis; Sotiris Kotitsas; Haris Papageorgiou
Published in: WWW '22: Companion Proceedings of the Web Conference 2022, 2022
Publisher: Association for Computing Machinery
DOI: 10.1145/3487553.3524677

Preparatory living lab workshops under the IntelComp platform: An enabler of the solution for sustainability challenges of climate change in Greece

Author(s): Papadaki L, Stavridis C, Koundouri P, Grypari I, Kazbek M, Papageorgiou H and Theodossiou N
Published in: Frontiers in Environmental Economics, Issue Volume 2, 2023, ISSN 2813-2823
Publisher: Frontiers
DOI: 10.3389/frevc.2023.1100493

Validation of Scientific Topic Models using Graph Analysis and Corpus Metadata

Author(s): Jorge Pereira-Delgado, Jerónimo Arenas-García, Jesús Cid-Sueiro, Manuel Vázquez López
Published in: Scientometrics, 2022, ISSN 1588-2861
Publisher: Springer

SCINOBO: a novel system classifying scholarly communication in a dynamically constructed hierarchical Field-of-Science taxonomy

Author(s): Kotitsas S, Pappas D, Manola N and Papageorgiou H
Published in: Frontiers in Research Metrics and Analytics, Issue Volume 8, 2023, ISSN 2504-0537
Publisher: Frontiers
DOI: 10.3389/frma.2023.1149834

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