I contributed in three chapters of A Social Mining and Big Data Ecosystem for Open, Responsible Data Science, an International Journal of Data Science and Analytics collection (volume 11).

• Nikolaus Forgó, Stefanie Hänold, Jeroen van den Hoven, Tina Krügel, Iryna Lishchuk, René Mahieu, Anna Monreale, Dino Pedreschi, Francesca Pratesi, David van Putten, An ethico-legal framework for social data science, International Journal of Data Science and Analytics (2020) https://doi.org/10.1007/s41060-020-00211-7
• Gennady Andrienko, Natalia Andrienko, Chiara Boldrini, Guido Caldarelli, Paolo Cintia, Stefano Cresci, Angelo Facchini, Fosca Giannotti, Aristides Gionis, Riccardo Guidotti, Michael Mathioudakis, Cristina Ioana Muntean, Luca Pappalardo, Dino Pedreschi, Evangelos Pournaras, Francesca Pratesi, Maurizio Tesconi, Roberto Trasarti, (So) Big Data and the transformation of the city, Journal of Data Science and Analytics (2020) https://doi.org/10.1007/s41060-020-00207-3
• Alina Sı̂rbu, Gennady Andrienko, Natalia Andrienko, Chiara Boldrini, Marco Conti, Fosca Giannotti, Riccardo Guidotti, Simone Bertoli, Jisu Kim, Cristina Ioana Muntean, Luca Pappalardo, Andrea Passarella, Dino Pedreschi, Laura Pollacci, Francesca Pratesi, Rajesh Sharma, Human migration: the Big Data perspective, Journal of Data Science and Analytics (2020) https://doi.org/10.1007/s41060-020-00213-5

This year, I published a lot of papers on Privacy Risk Assessment! One journal, one conference paper, and two workshop publications:

• Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale, A data mining approach to assess privacy risk in human mobility data, ACM Transactions on Intelligent Systems and Technology (TIST), Volume 9 Issue 3, December 2017 [DOI: 10.1145/3106774]
• Francesca Pratesi, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Privacy Preserving Multidimensional Profiling, International Conference on Smart Objects and Technologies for Social Good (Goodtechs) 2017 [DOI: 10.1007/978-3-319-76111-4_15]
• Roberto Pellungrini, Francesca Pratesi, Luca Pappalardo, Assessing privacy risk in retail data, PAP@ECML-PKDD 2017, Personal Analytics and Privacy. An Individual and Collective Perspective. PAP 2017. Lecture Notes in Computer Science, vol 10708 [DOI: 10.1007/978-3-319-71970-2_3]
• Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale, Fast Estimation of Privacy Risk in Human Mobility Data, Computer Safety, Reliability, and Security. SAFECOMP 2017. Lecture Notes in Computer Science, vol 10489 [DOI: 10.1007/978-3-319-66284-8_35]

Two papers related to the PETRA – PErsonal TRansport Advisor project:

• Michele Berlingerio, Veli Bicer, Adi Botea, Stefano Braghin, Nuno Lopes, Riccardo Guidotti, Francesca Pratesi, Mobility Mining for Journey Planning in Rome, in Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015 [DOI: 10.1007/978-3-319-23461-8_18]
• Adi Botea, Stefano Braghin, Nuno Lopes, Riccardo Guidotti, Francesca Pratesi, Managing travels with PETRA: The Rome use case, in 31st IEEE International Conference on Data Engineering Workshops, 2015. [DOI: 10.1109/ICDEW.2015.7129558]

Anna Monreale, Salvatore Rinzivillo, Francesca Pratesi, Fosca
Giannotti, Dino Pedreschi, Privacy-by-Design in Big Data Analytics and Social Mining, in European Physical Journal Data Science 2014:10. [DOI: 10.1140/epjds/s13688-014-0010-4]