The DataCom project placed strong emphasis on effective dissemination, communication, and exploitation of its results to maximize both scientific and societal impact. Through WP5, the project established a comprehensive Dissemination and Communication Plan early in the fellowship, setting quantitative targets and defining strategies tailored to various stakeholders, including public institutions, academic audiences, and the general public.
During the fellowship, I published 3 articles and 4 conference proceedings in collaboration with a multidisciplinary team, and 1 book chapter, and I have 2 other forthcoming proceedings and 1 forthcoming book chapters; I also submitted 2 monograph proposals and 4 journal articles, 3 of which in collaboration with a multidisciplinary team. Additionally, I am writing three other solo articles and one collaborative article that will be submitted within 2025 or 2026 at the latest, and I am writing the final guidance manual for the reuse of health data by public employees.
These results show that the fellowship helped me in enhancing my ability to work with colleagues from several other disciplines, in particular computer science, medicine, ethics, and statistics.
In the following, in each category, I will first list the published work and then the forthcoming works, formatted in APA style (7th edition).
- Conference Proceedings publications
Gallese, C. with Rispoli, M., et al. (2025)[i], manuscript presented at the 2025 IEEE Symposium on Computational Intelligence in Health and Medicine.
Gallese, C. with Falletti, E. (2024)[ii], manuscript presented at the AIMMES workshop.
Gallese, C. with Sessa, C. et al. (2024)[iii], manuscript presented at IJCNN 2024.
Gallese, C. with Scantamburlo, T. et al. (2024)[iv], manuscript presented at ACM ICSE 2024.
- Forthcoming conference proceeding:
Gallese, C. (2025)[v], manuscript submitted for presentation at the Ital-IA Conference. It will be published in the CEUR WS proceedings shortly after the conference, in Summer 2025.
Gallese, C. with Nobile, M. S., et al (2025)[vi], manuscript submitted for presentation at IEEE CIBCB 2025. It will be published in Autumn 2025.
- Journal publications
- Gallese, C. et al. (2024)[vii], article published by the journal BMC Medical Informatics and Decision Making
Gallese, C. with Falletti, E. (2025)[viii], article published on Media Laws.
Gallese, C. (2025)[ix], article published in YARS.
- Journal submissions:
Gallese, C. with Falletti, E. (2025)[x], manuscript submitted to the Journal of Law, Market & Innovation.
Gallese, C. (2025)[xi], manuscript submitted to the BioLaw Journal.
Gallese, C. with Costantini, S. et al. (2024)[xii], manuscript submitted to the journal Artificial Intelligence and Law and still under review.
- Published Book chapters:
Gallese, C. (2025)[xiii], chapter published in a book published by Springer.
- Forthcoming book chapters:
Gallese, C. (2025)[xiv], manuscript that I am including in a book that I am editing for McGraw Hill.
- Books proposals:
– Gallese, C. (2025)[xv], draft for a Guidance Manual for Public Servants on Ethical Commodification of Health Data.
– Gallese, C. (2025)[xvi], proposal for a monograph regarding the reuse of health data sent to Springer.
– Gallese, C. (2025)[xvii], proposal for a monograph on Health Dataset sent to Epieikeia-Jus Philosophicum.
- Manuscripts in preparation
Gallese, C. (2025)[xviii], Datasets as data assemblages.
Gallese, C. (2025)[xix], The reuse of health data in AI reproductive technologies: Opening the door to a new form of colonialism?
Gallese, C. (2025)[xx], Obsolescenza elettroceutica: il caso Second Sight [Electroceutical obsolescence: The Second Sight case].
Gallese, C. et al. (2025)[xxi], Bias in medical datasets: A systematic review.
[i] Gallese, C., Rispoli, M., Manzoni, L., & Nobile, M. S. (2025). Investigating fairness with FanFAIR: Is pre-processing useful only for performances? In Proceedings of the 2025 IEEE Symposium on Computational Intelligence in Health and Medicine. URL: https://aiandlaw.eu/wp-content/uploads/2025/05/IEEE_SSCI_2025___FanFAIR_2.pdf
[ii] Falletti, E., & Gallese, C. (2024). Credit scoring and transparency between the AI Act and the Court of Justice of the European Union. In Proceedings of AIMMES 2024 Workshop. CEUR-WS. https://ceur-ws.org/Vol-3744/paper7.pdf
[iii] Sessa, C., Gallese, C., & Falletti, E. (2024). Identifying bias in data collection: A case study on drugs distribution. In Proceedings of IEEE WCCI 2024, IJCNN Special Session on Medical AI Ethics. https://www.researchgate.net/publication/378766386
[iv] Scantamburlo, T., Falcarin, P., Veneri, A., Fabris, A., Gallese, C., Rotolo, F., Billa, V., & Marcuzzi, F. (2024). Software systems compliance with the AI Act: Lessons learned from an international challenge. In RAIE Workshop, ACM ICSE 2024. https://dl.acm.org/doi/10.1145/3643691.3648589
[v] Gallese, C. (2025). Teaching with generative AI: Ethical human-AI co-creation as an innovative legal education methodology (forthcoming, Ital-IA Conference proceedings).
[vi] Nobile, M. S., Lupi, A., Bacciu, L., Grazioso, M., Gallese, C., Quaia, E., & Pepe, A. (2025). Assessing cardiac functionality by means of interpretable AI and myocardial strain (Manuscript submitted for presentation at IEEE CIBCB 2025).
[vii] Gallese, C., Scantamburlo, T., Giannerini, S., Manzoni, L., & Nobile, M. S. (2025). Assessment of health data sets fairness. BMC Medical Informatics and Decision Making, Special Issue.
[viii] Falletti, E., & Gallese, C. (2025). Credit scoring judicial review between the Court of Justice of the European Union and comparative case law. MediaLaws. URL: https://www.medialaws.eu/rivista/credit-scoring-judicial-review-between-the-court-of-justice-of-the-european-union-and-comparative-case-law/
[ix] Gallese, C. (2024). The risks of health data commodification in the EU digital market. Yearbook of Antitrust and Regulatory Studies, 17(29). https://press.wz.uw.edu.pl/yars/vol17/iss29/3/
[x] Gallese, C., & Falletti, E. (2025). Dataset assessment tools for the AI Act compliance of high-risk AI systems. Journal of Law, Market & Innovation, Special Issue “Compliance & Enforcement Technologies”.
[xi] Gallese, C., Hommerson, S., Karanov, B., Fiorio, L. V., Widdershoven, F., Dyoub, A., & van Houtum, W. (2024). RAISE legal and ethical assessment of data sets for machine learning-based hearing aid applications in light of the AI Act (Manuscript submitted for publication in Biolaw Journal).
[xii] Costantini, S., Dell’Acqua, P., Mascardi, V., Gallese, C., Ianni, G., Lisi, F., Camarda, A. D., Brannstrom, A., & Nieves, J. C. (2024). STeForTAI: A socio-technical framework for trustworthy AI in digital forensics (Manuscript submitted for publication in AI and Law).
[xiii] Gallese, C. (2025). Redefining anonymization: Legal challenges and emerging threats in the era of EHDS. In G. Rossi, G. Gennari, & F. Casarosa (Eds.), Enabling and safeguarding personalized medicine (pp. 77–111). Springer.
[xiv] Gallese, C. (2025). Intelligenza artificiale e medicina: I rischi di bias per i pazienti. In C. Gallese (Ed.), Intelligenza artificiale e discriminazione (pp. xx–xx). Forthcoming for McGraw Hill.
[xv] Gallese, C. (2025, July). Guidance manual for public servants on ethical commodification of health data (Book proposal). (Unpublished manuscript).
[xvi] Gallese, C. (2025, June). [Title TBD – health Data Fairness]: Proposal for a monograph regarding the reuse of health data (Book proposal submitted to Springer). (Unpublished manuscript).
[xvii] Gallese, C. (2025, June). [Title TBD – Intelligenza Artificiale e Dati Sanitari]: Proposal for a monograph on health datasets (Book proposal submitted to Epieikeia–Jus Philosophicum). (Unpublished manuscript).
[xviii] Gallese, C. (in preparation). Datasets as data assemblages (Manuscript to be submitted to Big Data & Society, Sage).
[xix] Gallese, C. (in preparation). The reuse of health data in AI reproductive technologies: Opening the door to a new form of colonialism? (Manuscript to be submitted to Big Data & Society, Sage).
[xx] Gallese, C. (in preparation). Obsolescenza elettroceutica: il caso Second Sight [Electroceutical obsolescence: The Second Sight case] (Invited article, to be submitted to Biolaw Journal).
[xxi] Gallese, C., Papetti, D., Rescalli, S., Besozzi, D, & Liò, P. (in preparation). Bias in medical datasets: A systematic review. (Manuscript to be submitted to a journal TBD).