Teresa SCANTAMBURLO
- Position
- Adjunct Professor
- Telephone
- 041 234 8442
-
teresa.scantamburlo@unive.it
- Academic discipline
- Informatics [INFO-01/A]
- Website
-
https://www.unive.it/web/en/19197/people/teresa.scantamburlo(personal record)
Teaching activity current year
Teaching activity previous years
Activities and research skills
- Software Compliance with the AI Act
-
- SSD:
- INF/01
- Other members of the research group:
-
Paolo FALCARIN
Alberto VENERI
- IRIS Academic Research Coalition
-
- Funding body:
- UK CO
- Type:
- Altri finanziamenti per progetti di ricerca
- Role in the project:
- NS
- Sito di progetto:
- https://www.irisacademic.org
- Starting date:
- Year: 2021 Length in months: 36
- Other members of the research group:
-
Marco DELMASTRO
Alessandro GALEAZZI
Fabiana ZOLLO
Publication highlights
Scantamburlo, Teresa; Zollo, Fabiana A Scoping Review of Misinformation Research: Definitions, Conceptualizations, and Measurement Approaches in ACM TRANSACTIONS ON THE WEB, vol. NA (ISSN 1559-1131)
DOI 2026,
Journal Article - ARCA card: 10278/5114828
Purbasha Chowdhury, Alberto De Lazzari, Teresa Scantamburlo , Paolo Falcarin Retrieval-Augmented Question Answering using the EU AI Act , EKAW 2026 The 25th International Conference on Knowledge Engineering and Knowledge Management, Springer, Convegno: 5th international workshop KM4LAW – Knowledge Management and Process Mining for Law, 29/09/2026
2026,
Article in Conference Proceedings - ARCA card: 10278/5126049
Gallese, Chiara; Scantamburlo, Teresa; Manzoni, Luca; Giannerini, Simone; Nobile, Marco S. FanFAIR: sensitive data sets semi-automatic fairness assessment in BMC MEDICAL INFORMATICS AND DECISION MAKING, vol. 25 (ISSN 1472-6947)
DOI 2025,
Journal Article - ARCA card: 10278/5103560
Rossi, Valentina; Scantamburlo, Teresa; Melonio, Alessandra Generative AI for Non-Techies: Empirical Insights into LLMs in Programming Education for Novice Non-STEM Learners , Artificial Intelligence in Education. AIED 2025, Springer Science and Business Media Deutschland GmbH, vol. 15880 LNAI, pp. 162-175, Convegno: 26th International Conference on Artificial Intelligence in Education, AIED 2025, 2025 (ISBN 9783031984587; 9783031984594) (ISSN 0302-9743)
DOI 2025,
Article in Conference Proceedings - ARCA card: 10278/5105057
Falcarin, Paolo; Chowdhury, Purbasha; Carbone, Ettore; Scantamburlo, Teresa; Tripodi, Rocco; Vascon, Sebastiano Legal Requirements Compliance using NLP and Knowledge Graphs , 2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW), IEEE, pp. 412-418, Convegno: The 1st International Workshop on Requirements Engineering for Accountable and Conscious Human-centered AI, 1/09/2025
DOI 2025,
Article in Conference Proceedings - ARCA card: 10278/5105070
List of publications
Curriculum vitae
Short bio
Teresa Scantamburlo is Assistant Professor at Ca’ Foscari University, Department of Environmental Sciences, Informatics and Statistics (DAIS). Her research focuses on the ethical and social impact of Artificial Intelligence (AI) and Big Data. She has worked as a postdoctoral fellow at the European Centre for Living Technology (ECLT) in Venice and at the University of Bristol (UK). She is a member of the Laboratory of Data Science for Society, a member of the research unit on AI at ECLT, and an associate fellow at BLISS - Digital Impact Lab. With her research she contributed to the piloting of the European Ethics Guidelines for Trustworthy AI, delivered by the European Commission in 2019, the coordination of the AI4EU observatory and the working groups on ethical and legal AI.
Education
She received her Phd in Computer Science from Ca’ Foscari University, with a thesis on the philosophical foundation of machine learning and pattern recognition. She received her M.A. in Digital Humanities and her B.Sc. in Computer Science from the same University.
Research projects
She took part in the following EU funded projects: thinkBiG, an ERC project on the methods, applications and implications of big data on society, and AI4EU, an Horizon 2020 project aimed at building the AI-on-demand platform to share AI resources and foster collaborations among Member States. Now, she collaborates with the research coalition IRIS, a project focused on understanding ‘infodemics’ and promoting healthy information systems.
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