Annual report

All activities and information can be found at

1.The PhD course in Data Science has organized the Data Science Summer School of Pisa from 2 to 6 September 2019 at Pisa in collaboration with the Pisa PhD course in Data Science. The school had 75 participants:

The summer school is aimed to reflect the interdisciplinary flavor of the Italian Data Science PhD programs of Pisa and Rome, offering lectures by high-level scholars from different domains, including data mining and big data analytics, machine learning and AI, network science and complex systems, digital ethics, computational social science and applied data science in general. The following is the list of topics and lecturers of the school:

Machine/deep learning: John Shawe-Taylor UCL e Nello Cristianini, U Bristol,
Network science: Guido Caldarelli IMT Lucca and Janos Kertesz, CEU Budapest
Applied data science: Marlon Dumas U. Tartu ; and Kalina Bontcheva, U Sheffield
Ethics - Privacy - Social Impact: Jeroen Van Den Hoven, TU Delft and Fosca Giannotti/Dino Pedreschi, CNR and U Pisa
Algorithms and computational aspects: Aris Gionis, Aalto Helsinki and Stefano Leonardi, U Roma Sapienza

Every lecturer presented 4 hours of lectures. The next Data Dcience Summer School organized by the Italian Doctoral programs in Data Science
will be held in Rome in Fall 2021.

2. The PhD course in Data Science has organized the following three PhD courses, 24 hours each.
In the lectures participated students from various PhD courses. The meeting with Prof. Micali was widely publicized and attracted a large audience.

I. Algorithms and computational models for large-scale data analysis.
1. April 8th - 9th 2019, 09 - 13, Room B203, DIAG, Via Ariosto 25.
​ - Fabrizio Silvestri (Facebook London) - Neural NLP.
2. April 15th 2019, 10.00 - 14.00, Room B203, DIAG, Via Ariosto 25.
April 16th 2019, 9.00 - 13.00, Room B203, DIAG, Via Ariosto 25.
- Silvio Lattanzi (Google Zurich) - Distributed Models, Mapreduce and Large Scale Algorithms

II. Cryptographic primitives for blockchain and the security of the cloud space.
1. May 10th 2019, 12:00 - 14:00, DIAG, Via Ariosto 25, Aula Magna
- Silvio Micali (MIT) - ALGORAND: The Truly Distributed Ledger
2. May 13th - May 14th 2019, 09:00 - 13:00, DIAG, Via Ariosto 25, room B203
- Giuseppe Persiano (Univ. of Salerno) - Secure computation on encrypted data
3. May 15th 2019, 09:00 - 13:00, DIAG, Via Ariosto 25, room B203
- Daniele Venturi (Sapienza) - Zero-Knowledge Proofs and Applications
4. May 21st 2019, 09:00 - 13:00, DIAG, Via Ariosto 25, room B203
- Angelo Spognardi (Sapienza) - Web in-security: common pitfalls and remedies in web 2.0


Thursday May 23rd 2019, 14.00 - 18.30, LUISS, Viale Romania 32, room 207
14:00 - 16:00 Fedor Sandomirskiy (St. Petersburg School of Management
16:30 - 18.30 Vasilis Gkatzelis (Drexel University)
Appeal and Challenges of Fair Resource Allocation

Monday May 27th 2019 09:00 - 16:00, DIAG, Via Ariosto 25, room B203
09:00-11:00 Introduction to Algorithmic Bias (Carlos Castillo - UPF)
Introduction to Algorithmic Discrimination
The Discrimination Discovery Task
11:15-13:15 Mitigating Algorithmic Bias (Francesco Bonchi - ISI Torino & Eurecat)
Mitigation of Algorithmic Bias in Data Mining
14:00-16:00 Fairness in Machine Learning (Carlos Castillo - UPF)
Discrimination in supervised classification
Practice on criminal recidivism:

Tuesday May 28th 2019 09:00 - 16:00, DIAG, Via Ariosto 25, room B203
Tools for Algorithmic Bias Detection and Mitigation (Francesco Bonchi - ISI Torino & Eurecat)
Tools for Algorithmic Bias Detection and Mitigation
​11:15-13:15 Fairness in Rankings + Ethics discussion (Carlos Castillo - UPF)
Fairness in Rankings
Ethics of Social Media Research; group discussion of case studies
14:00 - 16:00 Algorithmic Fairness (Chris Schwiegelshohn - Sapienza)
The Notion of Disparate Impact
Fair algorithms for Clustering and Recommendation

3. The PhD course in Data Science has organized numerous seminars:

I trimester Seminar Diag 29/11/2018 Piotr Krysta (University of Liverpool) EQUAL-COST MECHANISM DESIGN WITH MONITORING
I trimester Seminar Luiss 23/11/2018 Vari, in occasione del Workshop Kolmogorov meets Turing 2018 @ LUISS Algorithmic Game Theory
I trimester Seminar Sapienza University of Rome 13/12/2018 Yelena Mejova, ISI foundation, Turin Capturing Digital Signals for Lifestyle Health Research
II trimester Seminar Sapienza University of Rome 29/03/2019 Paul Duetting, LSE Simple versus Optimal Contracts
I trimester Seminar Diag 18/10/2018 Luca Trevisan, U.C. Berkeley and Simons Institute for the Theory of Computing A THEORY OF SPECTRAL CLUSTERING


Research Projects

Stefano Leonardi
- ERC Advanced Grant 2018 - 2023: Algorithmic and Mechanism Design Research for Online Markets (AMDROMA) - Principal Investigator
- MIUR PRIN 2019-2022 Project ALGADIMAR "Algorithms, Games, and Digital Markets" - Principal Investigator

The AMDROMA project has financed the PhD Research assistant from the 34th Cycle Leonardo Martini.

Marco Sarsini:
- INdAM-GNAMPA Project 2019 “Markov chains and games on networks,”

Maria Antonia Brovelli:
- 2019- 2022 Erasmus + Climate Change Induced Disaster Management in Africa (CIDMA). Leader of the Politecnico di Milano Unit.
- 2019-2021 INTERREG V-A project IT-CH 2014-2020 – “INSUBRIPARKS” - ID 605472, Database and applications design for the Insubric parks monitoring and touristic promotion. Leader of the Politecnico di Milano Unit.
- 2019- 2021 INTERREG V-A Italy Switzerland 2014-2020 – “SIMILE” - ID 523544, An Information System for the Integrated Monitoring of Insubric Lakes and their Ecosystem. Project Leader.
- 2018 ISPRS Capacity Building Initiative: “Capacity Building for High-Resolution Land Cover Inter-comparison and Validation” - Project Leader.
- 2018 – 2021 ESA “High Resolution Land Cover CCI +”. Leader of the Politecnico di Milano Unit.

Sergio Barbarossa:
- H2020 Europe/Taiwan project named 5G-CONNI (Private 5G networks for Connected Industries), 2019-2022
- PRIN, coordinator at a national level for three years

Marianna Maranghi:

Ateneo porjects 2019:
"On the Utility of Big Data in Predicting Short-term Interstitial/Blood Glucose Levels
in Type 2 Diabetes Mellitus through Machine Learning Techniques H25"

Ateneo porjects Sapienza 2018:
A Clinically Validated Cohort of Type 2 Diabetes Mellitus Virtual Patients on insulin therapy

PhD student Lorenzo Lastilla
SAPIENZA - Research: Digitalizzazione dei corpus dei sistemi di scrittura indecifrati Cipro-Minoico e Rongorongo ed elaborazione degli stessi in funzione di un'analisi automatica (Machine Learning)


Marco Scarisimi:
Decision Analysis Publication Award 2019: Finalist
Müller, A., Scarsini, M., Tsetlin, I., and Winkler, R. L. (2017) Between first and second-order stochastic dominance. Management Science 63, 2933–2947.

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