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CORDIS

Hybrid Human Artificial Collective Intelligence in Open-Ended Decision Making

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Communication and dissemination plan (opens in new window)
Requirements from climate services (opens in new window)

A technical report that outlines key findings from user research with METO and prototype requirements for deploying the HACID-DSS to climate services.

Report on dissemination and outreach activities - Year 1 (opens in new window)

Annual report on dissemination and outreach activities - year 1

IPR management plan - mid term revision (opens in new window)

Mid term revision of the IPR management plan

Ethics check report (opens in new window)

A report is requested for the ethics check at M3 to address the following:PERSONAL DATA. The description states that a minimum amount of personal data is collected and processed. Clarifications need to be provided on the types of personal data collected and processed.PERSONAL DATA. The beneficiary must confirm that it has appointed a Data Protection Officer (DPO) and the contact details of the DPO are made available to all data subjects involved in the research. For beneficiaries not required to appoint a DPO under the GDPR, a detailed data protection policy for the project must be submitted.NON-EU COUNTRIES. Human participants for the climate service case will be selected from the UK Met office -a non-EU country- as well as one of the evaluators (NESTA), therefore the beneficiary must provide details on the personal data which will be imported to/exported from EU and confirm that the adequate authorizations have been obtained and are kept on file.

IPR management plan (opens in new window)

Report about the IPR management practices

Exploitation Plan (opens in new window)

Plan for exploitation activities

Top-down and bottom-up approaches to domain knowl- edge engineering (opens in new window)

The deliverable describes the methods and results related to knowledge engineering for building the DKG.

Publications

Ontogenia: Ontology Generation with Metacognitive Prompting in Large Language Models (opens in new window)

Author(s): Lippolis, Anna Sofia; Ceriani, Miguel; Zuppiroli, Sara; Nuzzolese, Andrea Giovanni
Published in: Lecture Notes in Computer Science ISBN: 9783031789519, 2025
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-78952-6_38

Large Language Models Assisting Ontology Evaluation (opens in new window)

Author(s): Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisärkkä, Aldo Gangemi, Eva Blomqvist, Andrea Giovanni Nuzzolese
Published in: Lecture Notes in Computer Science, The Semantic Web – ISWC 2025, 2025
Publisher: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2507.14552

Does AI mean we need to do climate services differently? (opens in new window)

Author(s): Fai Fung, Neha Mittal
Published in: 2024
Publisher: Copernicus GmbH
DOI: 10.5194/EMS2024-489

Ontology Generation Using Large Language Models (opens in new window)

Author(s): Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisärkkä, Sara Zuppiroli, Miguel Ceriani, Aldo Gangemi, Eva Blomqvist, Andrea Giovanni Nuzzolese
Published in: Lecture Notes in Computer Science, The Semantic Web, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-94575-5_18

Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation

Author(s): Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisarkka, Aldo Gangemi, Eva Blomqvist, Andrea Giovanni Nuzzolese
Publisher: CEUR-WS

Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making

Author(s): Abels A.; Lenaerts T.; Trianni V.; Nowe A.
Published in: Proceedings of the 40th International Conference on Machine Learning, Issue 202:79-90, 2023
Publisher: PMLR

Boosting collective intelligence in medical diagnostics: Leveraging decision similarity as a predictor of accuracy when answers are open-ended rankings

Author(s): Nikolas Zöller, Stefan M. Herzog, RalfH.J.M. Kurvers
Published in: HCOMP-CI 2023 Works-in-Progress and Demonstrations, 2023
Publisher: ACM Press

Hybrid Collective Intelligence for Decision Support in Complex Open-Ended Domains (opens in new window)

Author(s): Vito Trianni; Andrea Giovanni Nuzzolese; Jaron Porciello; Ralf H. J. M. Kurvers; Stefan M. Herzog; Gioele Barabucci; Aleksandra Berditchevskaia; Fai Fung
Published in: Frontiers in Artificial Intelligence and Applications, 2023
Publisher: IOS Press
DOI: 10.3233/faia230079

Proceedings of the National Academy of Sciences of the United States of America (opens in new window)

Author(s): Ralf H. J. M. Kurvers; Andrea Giovanni Nuzzolese; Alessandro Russo; Gioele Barabucci; Stefan M. Herzog; Vito Trianni
Published in: Proceedings of the National Academy of Sciences of the United States of America, 2023, ISSN 0027-8424
Publisher: National Academy of Sciences
DOI: 10.1073/pnas.2221473120

Collective Intelligence Increases Diagnostic Accuracy in a General Practice Setting (opens in new window)

Author(s): Matthew D. Blanchard, Stefan M. Herzog, Juliane E. Kämmer, Nikolas Zöller, Olga Kostopoulou, Ralf H. J. M. Kurvers
Published in: Medical Decision Making, Issue 44, 2025, ISSN 0272-989X
Publisher: SAGE Publications
DOI: 10.48350/195923

Combining Multiple Large Language Models Improves Diagnostic Accuracy (opens in new window)

Author(s): Gioele Barabucci, Victor Shia, Eugene Chu, Benjamin Harack, Kyle Laskowski, Nathan Fu
Published in: NEJM AI, Issue 1, 2024, ISSN 2836-9386
Publisher: Massachusetts Medical Society
DOI: 10.1056/AICS2400502

Human–AI collectives most accurately diagnose clinical vignettes (opens in new window)

Author(s): Nikolas Zöller, Julian Berger, Irving Lin, Nathan Fu, Jayanth Komarneni, Gioele Barabucci, Kyle Laskowski, Victor Shia, Benjamin Harack, Eugene A. Chu, Vito Trianni, Ralf H. J. M. Kurvers, Stefan M. Herzog
Published in: Proceedings of the National Academy of Sciences, Issue 122, 2025, ISSN 0027-8424
Publisher: Proceedings of the National Academy of Sciences
DOI: 10.1073/PNAS.2426153122

Proceedings of the National Academy of Sciences of the United States of America (opens in new window)

Author(s): Zöller, N; Berger, J; Lin, I; Fu, N; Komarneni, J; Barabucci, G; Laskowski, K; Shia, V; Harack, B; Chu, EA; Trianni, V; Kurvers, RHJM; Herzog, SM
Published in: Proceedings of the National Academy of Sciences, 2025, ISSN 0027-8424
Publisher: Proceedings of the National Academy of Sciences
DOI: 10.1073/PNAS.2426153122

Automating hybrid collective intelligence in open-ended medical diagnostics (opens in new window)

Author(s): Ralf H. J. M. Kurvers, Andrea Giovanni Nuzzolese, Alessandro Russo, Gioele Barabucci, Stefan M. Herzog, Vito Trianni
Published in: Proceedings of the National Academy of Sciences, Issue 120, 2024, ISSN 0027-8424
Publisher: Proceedings of the National Academy of Sciences
DOI: 10.1073/PNAS.2221473120

Logic Augmented Generation (opens in new window)

Author(s): Aldo Gangemi, Andrea Giovanni Nuzzolese
Published in: Journal of Web Semantics, Issue 85, 2025, ISSN 1570-8268
Publisher: Elsevier BV
DOI: 10.48550/ARXIV.2411.14012

How large language models can reshape collective intelligence (opens in new window)

Author(s): Jason W. Burton; Ezequiel Lopez-Lopez; Shahar Hechtlinger; Zoe Rahwan; Samuel Aeschbach; Michiel A. Bakker; Joshua A. Becker; Aleks Berditchevskaia; Julian Berger; Levin Brinkmann; Lucie Flek; Stefan M. Herzog; Saffron Huang; Sayash Kapoor; Arvind Narayanan; Anne-Marie Nussberger; Taha Yasseri; Pietro Nickl; Abdullah Almaatouq; Ulrike Hahn; Ralf H. J. M. Kurvers; Susan Leavy; Iyad Rahwan; Divya Siddarth; Alice Siu; Anita W. Woolley; Dirk U. Wulff; Ralph Hertwig
Published in: Nature Human Behaviour, 2024, ISSN 2397-3374
Publisher: Nature Portfolio
DOI: 10.1038/S41562-024-01959-9

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