Hybrid Human Artificial Collective Intelligence in Open-Ended Decision Making

Información del proyecto

HACID

Identificador del acuerdo de subvención: 101070588

DOI

10.3030/101070588

Proyecto cerrado

Fecha de la firma de la CE 3 Junio 2022

Fecha de inicio 1 Septiembre 2022

Fecha de finalización 28 Febrero 2026

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 2 164 500,00

Aportación de la UE

€ 1 877 250,00

Coordinado por

CONSIGLIO NAZIONALE DELLE RICERCHE
Italy

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (8)

Communication and dissemination plan
Requirements from climate services

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

Annual report on dissemination and outreach activities - year 1

IPR management plan - mid term revision

Mid term revision of the IPR management plan

Ethics check report

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

Report about the IPR management practices

Exploitation Plan

Plan for exploitation activities

Top-down and bottom-up approaches to domain knowl- edge engineering

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

Data Management Plan (2)

Data management plan

First version of the data management plan

Data management plan - mid term revision

Mid-term revision of the data management plan

Websites, patent fillings, videos etc. (1)

Project website and social media channels

Publicaciones

Conference proceedings (8)

Ontogenia: Ontology Generation with Metacognitive Prompting in Large Language Models

Autores: Lippolis, Anna Sofia; Ceriani, Miguel; Zuppiroli, Sara; Nuzzolese, Andrea Giovanni
Publicado en: Lecture Notes in Computer Science ISBN: 9783031789519, 2025
Editor: Springer, Cham
DOI: 10.1007/978-3-031-78952-6_38

Large Language Models Assisting Ontology Evaluation

Autores: Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisärkkä, Aldo Gangemi, Eva Blomqvist, Andrea Giovanni Nuzzolese
Publicado en: Lecture Notes in Computer Science, The Semantic Web – ISWC 2025, 2025
Editor: Springer Nature Switzerland
DOI: 10.48550/ARXIV.2507.14552

Does AI mean we need to do climate services differently?

Autores: Fai Fung, Neha Mittal
Publicado en: 2024
Editor: Copernicus GmbH
DOI: 10.5194/EMS2024-489

Ontology Generation Using Large Language Models

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

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

Autores: Anna Sofia Lippolis, Mohammad Javad Saeedizade, Robin Keskisarkka, Aldo Gangemi, Eva Blomqvist, Andrea Giovanni Nuzzolese
Editor: CEUR-WS

Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making

Autores: Abels A.; Lenaerts T.; Trianni V.; Nowe A.
Publicado en: Proceedings of the 40th International Conference on Machine Learning, Edición 202:79-90, 2023
Editor: PMLR

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

Autores: Nikolas Zöller, Stefan M. Herzog, RalfH.J.M. Kurvers
Publicado en: HCOMP-CI 2023 Works-in-Progress and Demonstrations, 2023
Editor: ACM Press

Hybrid Collective Intelligence for Decision Support in Complex Open-Ended Domains

Autores: Vito Trianni; Andrea Giovanni Nuzzolese; Jaron Porciello; Ralf H. J. M. Kurvers; Stefan M. Herzog; Gioele Barabucci; Aleksandra Berditchevskaia; Fai Fung
Publicado en: Frontiers in Artificial Intelligence and Applications, 2023
Editor: IOS Press
DOI: 10.3233/faia230079

Peer reviewed articles (8)

Proceedings of the National Academy of Sciences of the United States of America

Autores: Ralf H. J. M. Kurvers; Andrea Giovanni Nuzzolese; Alessandro Russo; Gioele Barabucci; Stefan M. Herzog; Vito Trianni
Publicado en: Proceedings of the National Academy of Sciences of the United States of America, 2023, ISSN 0027-8424
Editor: National Academy of Sciences
DOI: 10.1073/pnas.2221473120

Collective Intelligence Increases Diagnostic Accuracy in a General Practice Setting

Autores: Matthew D. Blanchard, Stefan M. Herzog, Juliane E. Kämmer, Nikolas Zöller, Olga Kostopoulou, Ralf H. J. M. Kurvers
Publicado en: Medical Decision Making, Edición 44, 2025, ISSN 0272-989X
Editor: SAGE Publications
DOI: 10.48350/195923

Combining Multiple Large Language Models Improves Diagnostic Accuracy

Autores: Gioele Barabucci, Victor Shia, Eugene Chu, Benjamin Harack, Kyle Laskowski, Nathan Fu
Publicado en: NEJM AI, Edición 1, 2024, ISSN 2836-9386
Editor: Massachusetts Medical Society
DOI: 10.1056/AICS2400502

Human–AI collectives most accurately diagnose clinical vignettes

Autores: 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
Publicado en: Proceedings of the National Academy of Sciences, Edición 122, 2025, ISSN 0027-8424
Editor: 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

Autores: 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
Publicado en: Proceedings of the National Academy of Sciences, 2025, ISSN 0027-8424
Editor: Proceedings of the National Academy of Sciences
DOI: 10.1073/PNAS.2426153122

Automating hybrid collective intelligence in open-ended medical diagnostics

Autores: Ralf H. J. M. Kurvers, Andrea Giovanni Nuzzolese, Alessandro Russo, Gioele Barabucci, Stefan M. Herzog, Vito Trianni
Publicado en: Proceedings of the National Academy of Sciences, Edición 120, 2024, ISSN 0027-8424
Editor: Proceedings of the National Academy of Sciences
DOI: 10.1073/PNAS.2221473120

Logic Augmented Generation

Autores: Aldo Gangemi, Andrea Giovanni Nuzzolese
Publicado en: Journal of Web Semantics, Edición 85, 2025, ISSN 1570-8268
Editor: Elsevier BV
DOI: 10.48550/ARXIV.2411.14012

How large language models can reshape collective intelligence

Autores: 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
Publicado en: Nature Human Behaviour, 2024, ISSN 2397-3374
Editor: Nature Portfolio
DOI: 10.1038/S41562-024-01959-9