Offerta formativa erogata A.A. 2020/2021

EDUCATIONAL OFFER - a.a. 2021/2022

Detailed Program:

Students must attend courses 1-4 and pass the exam for at least 12 CFU of the following:

1. March 2022 - Digital Epidemiology [3 CFU]
Organizers: Ciro Cattuto, Sebastiano Filetti, Stefano Leonardi

Paolo Villari (Sapienza): Study design in epidemiology
7 March 2022, 09:00 - 12:30

Daniela Paolotti (ISI Foundations): Digital Disease Detection
8 March 2022, 09:00 - 12:30

Luca Ferretti (Oxford): Digital Contact Tracing and Exposure Notification
14 March 2022, 09:00 - 12:30

Ciro Cattuto (Università di Torino): Human Proximity: from measurement to models and interventions
15 March 2022, 09:00 - 12:30

Caterina Rizzo (OPBG): What we talk about when we talk about vaccine hesitancy
21 March 2022, 09:00 - 12:30

Giorgio Guzzetta (Fondazione Bruno Kessler): Bayesian reconstruction of transmission chains from epidemiological surveillance and contact tracing data
22 March 2022, 09:00 - 12:30

2. Aprile 2022 Deep Learning Seminars [3 CFU]
Organizers: Simone Scardapane, Fabrizio Silvestri

The three seminars will cover several advanced topics in deep learning: meta learning (i.e., “learning to learn”), continual learning (i.e., learning from a continuous stream of tasks), and data engineering for deep learning (i.e., preparing data for being used in deep learning pipelines).

20 April 2022 - Meta-learning: Prof. Fabrizio Silvestri (Sapienza University)
21 April 2022 - Introduction to Continual learning: Dr. Vincenzo Lomonaco (Pisa University)
27 April 2022 - Working with data in industrial machine learning applications: Andreas Damianou (Spotify)
28 April 2022 - Working with data in industrial machine learning applications: Andreas Damianou (Spotify)

3. Maggio 2022 Cultural Analytics [3 CFU]
Organizers: Carlos Castillo and Giorgio Barnabò

9 May 2022 - Wikipedia beyond the encyclopedic value: Diego Saez-Trumper (Wikimedia)
10 May 2022 - Wikipedia beyond the encyclopedic value: Diego Saez-Trumper (Wikimedia)
24 May 2022 - Measuring the happiness, health, & stories of society through the sociotechnical dynamics of social media and fiction: Chris Danforth and Peter Dodds (Vermont University)
27 May 2022 - Goodreads: a computational Study: Melanie Walsh (University of Washington)
30 May 2022 - Media Content Analysis and Culturomics: Nello Cristianini (Bristol University)
31 May 2022 - Media Content Analysis and Culturomics: Nello Cristianini (Bristol University)

4. Giugno 2022 Theory and Practice of Deep Learning [3 CFU]
Organizers: Fabrizio Silvestri, Michael Bronstein

13 June 2022 - Graph Neural Networks: Geometric, Structural and Algorithmic Perspectives: Petar Veličković (DeepMind & Cambridge University)
14 June 2022 - Energy-Based Models: Alfredo Canziani (NYU Courant Institute)
15 June 2022 - Knowledge-intensive NLP and retrieval augmentation: Alessandra Piktus (HuggingFace)
16 June 2022 - TBD: Sanjeev Arora

5. Febbraio - Giugno 2022 The Copernicus green revolution for sustainable development - Politecnico di Milano [5 CFU]
Organizer: Maria Brovelli

Maria Brovelli (DICA-Polimi, 1 CFU)
Daniele Oxoli (DICA-Polimi, 1 CFU);
Marco Gianinetto (DABC-Polimi, 1 CFU);
Branka Cuca (DABC-Polimi, 1 CFU);
Andrea Monti-Guarnieri (DEIB-Polimi, 1 CFU)


1. Machine learning in production (May 5-7-12-14 2021) [3CFU]
(da remoto)
- Simone Scardapane (Sapienza)

2. Neural Information Retrieval and NLP (May 20-21-27-28 2021) [3CFU]
- Nicola Tonellotto (Univ. of Pisa), Fabrizio Silvestri (Sapienza)
21/05 from 9.30 to 13.30 - Practicum from 15.30 to 17.30
22/05 from 10.30 to 13.30 - Practicum from 15.30 to 17.30
27/05 from 9.30 to 13.30 - Practicum from 15.30 to 17.30
28/05 from 9.30 to 13.30 - Practicum from 15.30 to 17.30
Advances from the natural language processing community have recently sparked a renaissance in the task of ad-hoc search. Particularly, large contextualized language modeling techniques, such as BERT, have equipped ranking models with a far deeper understanding of language than the capabilities of previous bag-of-words (BoW) models. Applying these techniques to a new task is tricky, requiring knowledge of deep learning frameworks, and significant scripting and data munging. In this course, we provide background on classical (e.g., BoW), modern (e.g., Learning to Rank). We introduce students to the Transformer architecture also showing how they are used in foundational aspects of modern large language models (e.g., BERT) and contemporary (e.g., doc2query) search ranking and re-ranking techniques. Going further, we detail and demonstrate how these can be easily experimentally applied to new search tasks in a new declarative style of conducting experiments exemplified by the PyTerrier and OpenNIR search toolkits.

3. Data Science Innovation in Diabetes (June - July 2021) [3CFU]
- Marianna Maranghi (Sapienza), Data Science Innovation in Diabetes (1 day webinar):
"Use of big data: what potential? Which methodology? The diabetic patients data model as an example"
- Ciro Cattuto (Univ. of Torino), Daniela Paolotti (ISI Torino): Digital Epidemiology on the field (3 CFU)

4. Learning in Games, Markets, and Sequential Decision Making (September 6-10 2021) [3CFU]
Prof. Nicolò Cesa-Bianchi (Università degli Studi di Milano)
Prof. Jose R. Correa (Universidad de Chile)
Prof. Michal Feldman (Tel-Aviv University)
Renato Paes Leme (Research Scientist at Google Research New York)
Prof. Eva Tardos (Cornell University).


1. Data Science for Humanities [3CFU]
- Riconoscere le emozioni: un percorso dinamico fra opere d'arte e memi (February 10th-11th 2020)
Prof. Davide Nadali (La Sapienza) e Antonella Sbrilli (La Sapienza)
- Visita al Museo dell’Arte Classica della Sapienza (February 18th 2020)
- In Codice Ratio: towards Knowledge Discovery from Medieval Manuscripts(February 24th 2020)
Prof. Paolo Merialdo (Universita di Roma Tre): Speakers: Donatella Firmani (Universita di Roma Tre), Elena Nieddu (Universita di Roma Tre), Francesco Cavina
- Decifrazione delle scritture antiche attraverso la digitalizzazione e il machine learning (February 25th 2020)
Prof.ssa Silvia Ferrara (Università di Bologna) e Fabio Tamburini (Università di Bologna)

2. Computational and Statistical Methods of Data Reduction [3CFU]
- Robust Statistics for Data Reduction (March 9th - 10th 2020, 09:00-13:00, Aula B203) SUBSTITUTED BY "Computational methods: sampling and inferential issues", Prof. Serena Arima (Università del Salento), MAY 11th - 12th 09:00-13:00
- Dimensionality Reduction in Clustering and Streaming (March 16th - 17th 2020, 09:00-13:00, Aula B203) RESCHEDULED FOR MAY 14th - MAY 15th 09:00-13:00
Prof. Chris Schwiegelshohn (La Sapienza)

3. Learning in Games, Markets, and Sequential Decision Making RESCHEDULED FOR FALL 2021 [3CFU]
- Learning good equilibria in repeated games (May 11th - 12th 2020)
Prof. Tim Roughgarden (Columbia University)
- Online learning through multi-armed bandit models (May 13th - 14th 2020)
Prof. Nicolò Cesa-Bianchi (Università degli Studi di Milano)
- Learning prices and equilibria in markets (May 15th 2020)
Prof. Nicola Gatti (Politecnico di Milano), Prof. Stefano Leonardi (La Sapienza)

4. Data Science for Geographical Information System Applications - Improving Location of Collaborative Mapping Apps [3CFU]
- Citizen Science and VGI, (May 20th 2020, 14.00 - 17.00)
Prof. Maria Antonia Brovelli (Politecnico Milano)
- Geopaparazzi e SMASH (May 20th 2020, 17.00 - 18.00)
Prof. Maria Antonia Brovelli (Politecnico Milano), Silvia Franceschi
- OpenStreetMap: how to contribute and use its data, (May 21st 2020, 09.00 - 12.00)
Prof. Maria Antonia Brovelli (Politecnico Milano)
- Epicollect (May 21st 2020, 12.00 - 13.00)
Prof. Maria Antonia Brovelli and Daniele Oxoli (Politecnico Milano)
- QField (May 21st 2020, 14.00 - 15.00)
Prof. Maria Antonia Brovelli and Berk Anbaroglu (Politecnico Milano)
- LandslideSurvey, (May 21st 2020, 15.00 - 16.00)
Prof. Maria Antonia Brovelli and Edoardo Pessina (Politecnico Milano) Edoardo Pessina
- Global Navigation Satellite Systems (GNSS) fundamentals (May 27th 2020, 14.00 - 18.00)
Prof. Augusto Mazzoni (Sapienza)
- From GNSS raw measurements to precise positions (theory and on field survey) (May 28th 2020, 09.00 - 13.00)
Prof. Augusto Mazzoni (Sapienza)
- From GNSS raw measurements to precise positions (data processing) (May 28th 2020, 14.30 - 16.30)
Prof. Augusto Mazzoni (Sapienza)

5. Network Science and Machine Learning Methods for Health and Medicine (In collaborazione con il Dottorato in Tecnologie Biomediche Innovative) [3CFU]
- Network science and network medicine (June 5th, 09.00-13.00)
Prof. Guido Caldarelli (IMT Alti Studi Lucca)
- Digital Epidemiology and Network Science for monitoring and modeling Coronavirus outbreak (June 8th - 9th, 09:00 - 13:00)
Prof. Ciro Cattuto (ISI and University of Torino)
- A guided tour on the application of AI in Health and Medical Research (June 10th 09:00 - 13:00)
Prof. Alberto Tozzi (Ospedale Pediatrico Bambin Gesù)
- Network Medicine (June 15th 15:00 - 19:00)
Prof. Kimberly Glass (Harvard Univ. and Brigham and women’s Hospital)


1. Algorithms and computational models for large-scale data analysis (April 8th - 16th 2019) [3CFU]
Silvio Lattanzi (Google)
Fabrizio Silvestri (Facebook)

2. Cryptographic primitives for blockchain and the security of cloud-based systems (May 10th - 21st 2019) [3CFU]
Silvio Micali (MIT)
Giuseppe Persiano (Salerno)
Daniele Venturi (Sapienza)
Angelo Spognardi (Sapienza)

3. Algorithmic bias, fairness and ethics in machine learning systems (May 27th - 31st 2019) [3CFU]
Carlos Castillo (UPF)
Francesco Bonchi (ISI Torino and Eurecat Barcelona)
Vassilis Gkatzelis (Drexel University)
Fedor Sandomirskiy (St. Petersburg School of Management)
Chris Schwiegelshohn (Sapienza)

4. Italian PhD School of Data Science [6CFU]
Co-organized with the PhD program in Data Science of Pisa
3-10 September, Pisa.

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma