Teaching
Academic Year 2022/2023
ARTIFICIAL INTELLIGENCE II
Course: Master Degree in Biotechnologies and Applied Artificial Intelligence for Health, 6 CFU
ANALISI DI DATI
Course: Master in Big Data, Computer Science Department of University of Pisa
Academic Year 2021/2022
LABORATORIO DI INFORMATICA
Course: Specialization School in Medical Physics, University of Pisa.
ANALISI DI DATI
Course: Master in Big Data, Computer Science Department of University of Pisa
Academic Year 2020/2021
LABORATORIO DI INFORMATICA
Course: Specialization School in Medical Physics, University of Pisa.
ANALISI DI DATI
Course: Master in Big Data, Computer Science Department of University of Pisa
Academic Year 2019/2020
DATA MINING
Course: Master Degree in Computer Science, University of Pisa.
ANALISI DI DATI
Course: Master in Big Data, Computer Science Department of University of Pisa
Academic Year 2018/2019
BASI DI DATI
Course: Bachelor Degree in Computer Science, University of Pisa.
ANALISI DI DATI
Course: Master in Big Data, Computer Science Department of University of Pisa
Academic Year 2017/2018
BASI DI DATI
Course: Bachelor Degree in Computer Science, University of Pisa.
ANALISI DI DATI
Course: Master in Big Data, Computer Science Department of University of Pisa
Academic Year 2016/2017
BASI DI DATI
Course: Bachelor Degree in Computer Science, University of Pisa.
ANALISI DI DATI
Course: Master in Big Data, Computer Science Department of University of Pisa
Academic Year 2014/2015
DATA MINING
Course: Master Degree in Computer Science, University of Pisa.
DATA MINING
Course: Master in Big Data, Computer Science Department of University of Pisa
Research
Research Activity
I am an Assistant Professor at the Computer Science Department of the University of Pisa. I am a member of the Knowledge Discovery and Data Mining Laboratory (KDDLab), a
joint research group that connects the Computer Science Dept. of the University of Pisa, CNR-ISTI the Information Science and Technology Institute of the Italian National Research Council, and SNS, the Scuola Normale Superiore.
My current research focuses on the study of dynamics on complex networks, such as diffusion of phenomena, and innovation. I received the Ph.D. degree in computer science from the University of Pisa with a thesis on the study of spreading phenomena over complex networks, in 2018.
European Projects
- Human AI Net
- SAI Social Explainable Artificial Intelligence
- SoBigData++ European Integrated Infrastructure for Social Mining and Big Data Analytics
- SoBigData Social Mining and Big Data Ecosystem,
- CIMPLEX Bringing Citizens, Models and Data together in Participatory, Interactive SociaL Exploratories Horizon 2020 European Projects.
- ICON Inductive Constraint Programming
- SEEK SEmantic Enrichment of trajectory Knowledge discovery
- LIFT Using Local Inference in Massively Distributed Systems
Supervising Activity
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April 2022 - Chiara Spampinato
Filter Bubbles in the Italian Twitter- sphere: a data-driven analysis
Master Degree Digital Humanities, University of Pisa. Advisors: Giulio Rossetti, Letizia Milli
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September 2021 - Angelica Maria Puddu
A tale of two OSNs: online political debate around Capitol Hill assault on Twitter and Parler
Master Degree Digital Humanities, University of Pisa. Advisors: Giulio Rossetti, Letizia Milli
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July 2020 - Valentina Pansanella
Modeling algorithmic bias in opinion dynamics: simplicial complexes, and evolving network topologies
Master Degree in Data Science and Business Informatics, University of Pisa. Advisors: Giulio Rossetti, Letizia Milli
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March 2020 - Cecilia Toccaceli
Bounded confidence, Stubborness e Peer Pressure: simulare l’adozione di fake news tramite modelli di opinion dynamics
Master Degree in Data Science and Business Informatics, University of Pisa. Advisors: Giulio Rossetti, Letizia Milli
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March 2015 - Mellace Andrea
It’s a long way to the top Predicting Success via Innovators’adoptions
Master Degree in Data Science and Business Informatics, University of Pisa. Advisors: Giulio Rossetti, Letizia Milli
Conference Organization
- Presentation of the paper Community-Aware Content Diffusion: Embeddednes and Permeability at the conference Complex Networks and Their Applications 2019 a Lisbona, Portugal from 10-12-2019 to 12-12-2019
- Tutorial for the library NDLib NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks at the 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Torino, Italy from 01-10-2018 to 04-10-2018
- Presentation of demo about library NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks, is a Python software package that allows to describe, simulate, and study diffusion processes on complex networks at the conference International World Wide Web Conference, TheWebConf 2018 at Lione, France from 22-04-2018 to 27-04-2018
- Presentation of the paper Diffusive Phenomena in Dynamic Networks: a data-driven study at Complex Networks (CompleNet) 2018 a Boston, from 05-03-2018 to 08-03-2018
- Presentation of paper Information Diffusion in Complex Networks: the Active/Passive Conundrum at the conference Complex Networks and Their Applications 2017, Lione, France from 29-11-2017 to 01-12-2017
- Presentation of the paper Quantification trees. at the conference "International Conference on Data Mining" (ICDM) Dallas, Texas, USA from 7 to 10 december 2013
Talks
- AI and Society Roundtable: Organizing Commitee of the AI and Society Roundtable, online event, 30 June 2021
- SOCINFO 2020: Local Organizing Commitee of the Social Informatics 2020 (SOCINFO 2020), Pisa, Italy,
06/10/2020 - 09/10/2020
- workshop Data Science for Society: Organizing Commitee of the workshop Data Science for Society, Roma, Italy, 18/09/2019 at
the Conference ACM Celebration of Women in Computing, WomENcourage
- Data Science Summer School: Organizing Commitee of the Data Science Summer School, Pisa, Italy 02/09/2019 -
06/09/2019
- DyNo: PC Chair of 4th International Workshop on Dynamics in Networks (DyNo) at ASONAM 2018, Barcelona, Spain, 28 August 2018
- DyNo: PC Chair of 4th International Workshop on Dynamics in Networks (DyNo) PKDD 2017, Skopje, Macedonia, 18-22 September 2017
- AI*IA 2014: Local Organizing Commitee of XIII Simposium AI*IA 2014: Associazione Italiana In-
telligenza Artificiale 2014, Pisa 10/12/2014-12/12/2014
Publications
- Academics as Migrants: A Big Data Approach Laura Pollacci, Letizia Milli, Tuba Tircan, Giulio Rossetti. Springer JDSA Special Issue: “Data Science in Human Migration and Mobility” 2023
- Elgar Encyclopedia of Law and Data Science edited by Giovanni Comandè 18 February 2022 from Edward Elgar Publishing, 2022 ISBN: 9781839104589
- Modeling Algorithmic Bias in Opinion Dynamics: Simplicial Complexes and Evolving Network Topologies Valentina Pansanella, Giulio Rossetti e Letizia Milli. Applied Network Science (2022) ISSN: 2364-8228
- From mean-field to complex topologies: network effects on the algorithmic bias model Valentina Pansanella, Giulio Rossetti e Letizia Milli. International Conference on Complex Networks and their Applications, 2021, 30 Novembre-2 Dicembre Madrid.
- ∆-Conformity: Multi-scale Node Assortativity in Feature-rich Stream Graphs Salvatore Citraro, Letizia Milli, Remy Cazabet e Giulio Rossetti. International Journal of Data Science and Analytics (JDSA) 2021
- UTLDR: an agent-based framework for modeling infectious diseases and public interventions Giulio Rossetti, Letizia Milli, Salvatore Citraro, Virginia Morini. Journal of Intelligent Information Systems, 2021.
- NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo. ERCIM News Volum 2021 Number 124
- Conformity: a Path-Aware Homophily measurefor Node-Attributed Networks Giulio Rossetti, Salvatore Citraro, Letizia Milli. IEEE Intelligent Systems Volum 36 Number 1 pages 25-34 (2021)
- Opinion Dynamic Modeling of News Perception Letizia Milli. Applied Network Science (2021) ISSN: 2364-8228 2021
- Opinion Dynamic Modeling of Fake News Perception Cecilia Toccaceli, Letizia Milli e Giulio Rossetti. International Conference on Complex Networks and their Applications, 2020, 1-3 Dicembre Madrid
- Community-Aware Content Diffusion: Embeddednes and Permeability. Letizia Milli and Giulio Rossetti. International Conference on Complex Networks and their Applications, 2019, 10-12 Novembre Lisbona.
- CDlib: a Python Library to Extract, Compare and Evaluate Communities from Complex Networks Giulio Rossetti, Letizia Milli, Remy Cazabet. Applied Network Science (2019)
- NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo. Demo @ International World Wide Web Conference, 2018, Lyon
- Diffusive Phenomena in Dynamic Networks: a data-driven study Letizia Milli, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi.International Conference on Complex Networks (CompleNet), 2018, Boston.
- Active and passive diffusion processes in complex networks Letizia Milli, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti. Applied Network Science Volum 3 Number 1 (2018) pag 42.
- Information Diffusion in Complex Networks: the Active/Passive Conundrum Letizia Milli, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi. International Conference on Complex Networks and their Applications (pp. 305-313). Springer, 2017, Lyon.
- NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sirbu, Dino Pedreschi, Fosca Giannotti. International Journal of Data Science and Analytics Volum 5 Number 1 (2018) Pages 61-79.
- Forecasting Success via Early Adoptions Analysis: A Data-Driven Study Giulio Rossetti, Letizia Milli, Dino Pedreschi, Fosca Giannotti. PLOS ONE, 2017, Volum 12 Number 12, e0189096.
- NDLIB: Studying Network Diffusion Dynamics Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sirbu, Dino
Pedrschi, Fosca Giannotti. International Conference on Data Science and Advanced Analytics (DSAA) 2017, Tokyo.
- Quantification in social networks Letizia Milli, Anna Monreale, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti, Fabrizio Sebastiani. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015, Parigi.
- Quantification Trees Letizia Milli, Anna Monreale, Giulio Rossetti, Fosca Giannotti, Dino
Pedreschi, Fabrizio Sebastiani. IEEE International Conference on Data Mining (ICDM), 2013, Texas.