Assistant Professor with time contract
Department of Control and Computer Engineering (DAUIN)
Profile
Research interests
Biography
Antonio Vetrò is Assistant Professor at the Department of Control and Computer Engineering of Politecnico di Torino. He coordinates research programs at the Nexa Center for Internet and Society. He is also senior researcher and member of the scientific board of the Italian Institute for Advanced Studies in Torino “Umberto Eco” Scienza Nuova. Antonio conducts interdisciplinary studies on the relationship between digital technologies and society: he is currently studying how to detect and mitigate discriminations of automated decision systems. He has a long experience in empirically evaluating methods for software and data quality improvement.
OTHER ACTIVITIES
He is member of the international committee ISO/IEC JTC1 SC7/WG6 Software and System Engineering - Software Product and System Quality and of the Italian Software Engineering Committee at UNINFO (delegated at ISO for standardisation in information technologies). He serves in the editorial board of the International Journal of Technoethics (IJT).
PAAST ACTIVITIES
Antonio has been researcher and adjunct member of the scientific board of the Future Urban Legacy Lab from April 2018 to September 2021. Antonio has been Director of Research at the Nexa Center for Internet and Society at Politecnico di Torino (Italy) from November 2015 to August 2017 and Research Programs Manager at ORS group from September 2017 to January 2018. Further in the past, he has been post-doctoral research fellow in the Software and System Engineering Department at the Technische Universität München (Germany) and junior scientist at the Fraunhofer Center for Experimental Software Engineering (MD, USA).
He holds a PhD in Information and System Engineering from Politecnico di Torino (Italy), obtained working at the Software Engineering Research Group (Softeng, at the Department of Control and Computer Engineering) with a doctoral thesis on the empirical assessment of the impact of static code analysis on software quality.
Skills
ERC sectors
SDG
Awards and Honors
- Siebel Energy Institute - Smart Energy conferred by Siebel Energy Institute, United States (2016)
- Best Paper Award EGOV-2020 conferred by Digital Government Society, United States (2020)
Editorial boards
- INTERNATIONAL JOURNAL OF TECHNOETHICS (2020-), Editorial board member
- INFORMATION (2019-2021), Editorial board member
Other research or teaching roles outside Politecnico
- Ricercatore a tempo det., presso Università di Monaco di Baviera (TU Munchen) (1/9/2013-31/8/2015)
Teaching
Courses of Study Boards
- Collegio di Ingegneria Gestionale. Componente invitato
- Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente
Teachings
Master of Science
- Responsible Artificial Intelligence. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- System and device programming. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- System and device programming. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Tecnologie digitali e società. A.A. 2018/19, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Tecnologie digitali e società. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Tecnologie digitali e società. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Tecnologie digitali e società. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Software Engineering II. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Software Engineering II. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Software Engineering II. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Software Engineering II. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Data Ethics and Protection. A.A. 2019/20, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data Ethics and Data Protection. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data Ethics and Data Protection. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Titolare del corso
- Sistemi informativi aziendali. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso
Bachelor of Science
- Visualizzazione dell'informazione quantitativa. A.A. 2020/21, INGEGNERIA INFORMATICA. Collaboratore del corso
Research
Research groups
Other activities and projects related to research
Antonio is specialized in empirical methodologies for software engineering, with a focus on software and data quality improvement. He also conducts interdisciplinary studies on the relationship between digital technologies and society. Relying on both approaches, he is currently studying how to detect and mitigate potential discriminations deriving from biases in the data and in the algorithms of automated decision systems.
Antonio has been Director of Research at the Nexa Center for Internet and Society at Politecnico di Torino (Italy) from November 2015 to August 2017 and Research Programs Manager at ORS s.r.l. (https://ors.ai/) from September 2017 to January 2018.
Further in the past, he has been post-doctoral research fellow at the chair of Software and Systems Engineering (https://www.in.tum.de/en/i04/homepage/) at the Technische Universität München (Germany) and junior scientist at the Fraunhofer Center for Experimental Software Engineering (https://www.cma.fraunhofer.org/) in Maryland, USA. He holds a PhD in Information and System Engineering from Politecnico di Torino (Italy), obtained working at the Software Engineering Research Group (https://softeng.polito.it/) with a doctoral thesis on the empirical assessment of the impact of static code analysis on software quality.
Publications
Last years publications
Last years publications View all publications in Porto@Iris
- Mecati, Mariachiara; Adrignola, Andrea; Vetro, Antonio; Torchiano, Marco (2023)
Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness. In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022) - Second International Workshop on Data Science for equality, inclusion and well-being challenges (DS4EIW 2022), Osaka (Japan), pp. 4690-4699
Contributo in Atti di Convegno (Proceeding) -
. FAIR Data Collection - Mecati, Mariachiara; Vetro', Antonio; Torchiano, Marco (2022)
Detecting Risk of Biased Output with Balance Measures. In: ACM JOURNAL OF DATA AND INFORMATION QUALITY, vol. 14. ISSN 1936-1955
Contributo su Rivista - Vetrò, Antonio (2021)
Imbalanced data as risk factor of discriminating automated decisions: a measurement-based approach. In: JOURNAL OF INTELLECTUAL PROPERTY, INFORMATION TECHNOLOGY AND ELECTRONIC COMMERCE LAW, vol. 12, pp. 272-288. ISSN 2190-3387
Contributo su Rivista - Beretta, Elena; Vetrò, Antonio; Lepri, Bruno; De Martin, Juan Carlos (2021)
Equality of Opportunity in Ranking: a Fair-Distributive Model. In: Second International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2021), Online, April 1, 2021, pp. 51-63. ISBN: 978-3-030-78818-6
Contributo in Atti di Convegno (Proceeding) - Vetro', Antonio; Torchiano, Marco; Mecati, Mariachiara (2021)
A data quality approach to the identification of discrimination risk in automated decision making systems. In: GOVERNMENT INFORMATION QUARTERLY, vol. 38. ISSN 0740-624X
Contributo su Rivista - Vetrò, Antonio; Torchiano, Marco; Mecati, Mariachiara (2021)
Reproducibility Package for 'A Data Quality Approach to the Identification of Discrimination Risk in Automated Decision Making Systems'.
Altro - Garifo, Giovanni; Futia, Giuseppe; Vetro', Antonio; DE MARTIN, JUAN CARLOS (2021)
The Geranium Platform: A KG-Based System for Academic Publications. In: INFORMATION, vol. 12. ISSN 2078-2489
Contributo su Rivista - Conoscenti, Marco; Vetrò, Antonio; De Martin, Juan Carlos (2021)
CLoTH: A Lightning Network Simulator. In: SOFTWAREX, vol. 15. ISSN 2352-7110
Contributo su Rivista - Simonetta, Alessandro; Trenta, Andrea; Paoletti, Maria Cristina; Vetrò, Antonio (2021)
Metrics for Identifying Bias in Datasets. In: ICYRIME 2021 International Conference of Yearly Reports on Informatics Mathematics, and Engineering 2021, online, July 9, 2021, pp. 10-17
Contributo in Atti di Convegno (Proceeding) - Simonetta, Alessandro; Vetro', Antonio; Cristina Paoletti, Maria; Torchiano, Marco (2021)
Integrating SQuARE data quality model with ISO 31000 risk management to measure and mitigate software bias. In: 3rd International Workshop on Experience with SQuaRE Series and Its Future Direction (IWESQ 2021), Taipei, Taiwan, Dec 8, 2021, pp. 17-22
Contributo in Atti di Convegno (Proceeding) - Mecati, Mariachiara; Vetro, Antonio; Torchiano, Marco (2021)
Detecting Discrimination Risk in Automated Decision-Making Systems with Balance Measures on Input Data. In: 2021 IEEE International Conference on Big Data (IEEE BigData 2021) - First International Workshop on Data Science for equality, inclusion and well-being challenges (DS4EIW 2021), Orlando, FL, USA, 15-18 Dec. 2021, pp. 4287-4296. ISBN: 978-1-6654-3902-2
Contributo in Atti di Convegno (Proceeding) - Beretta, Elena; Vetro', Antonio; Lepri, Bruno; De Martin, Juan Carlos (2021)
Detecting discriminatory risk through data annotation based on Bayesian inferences. In: ACM Conference on Fairness, Accountability, and Transparency 2021 (ACM FAccT 2021), Online, March 3-10, 2021, pp. 794-804
Contributo in Atti di Convegno (Proceeding) - Futia, Giuseppe; Vetrò, Antonio; De Martin, Juan Carlos (2020)
SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks. In: SOFTWAREX, vol. 12. ISSN 2352-7110
Contributo su Rivista - Futia, Giuseppe; Vetro, Antonio (2020)
On the Integration of Knowledge Graphs into Deep Learning Models for a More Comprehensible AI—Three Challenges for Future Research. In: INFORMATION, vol. 11. ISSN 2078-2489
Contributo su Rivista - Mecati, Mariachiara; Cannavò, Flavio Emanuele; Vetrò, Antonio; Torchiano, Marco (2020)
Identifying Risks in Datasets for Automated Decision–Making. In: EGOV2020 – IFIP EGOV-CeDEM-EPART 2020, Linköping University (Sweden), 31 August (Monday) – 2 September (Wednesday), 2020, pp. 332-344. ISSN 0302-9743. ISBN: 978-3-030-57598-4
Contributo in Atti di Convegno (Proceeding) - Mecati, Mariachiara; Cannavò, Flavio Emanuele; Vetrò, Antonio; Torchiano, Marco (2020)
Reproducibility Package for 'Identifying risks in datasets for automated decision–making'.
Altro - Futia, Giuseppe; Garifo, Giovanni; Vetro', Antonio; DE MARTIN, JUAN CARLOS (2020)
Modeling the semantics of data sources with graph neural networks.
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