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A

L. Pappalardo, Vanhoof, M., Gabrielli, L., Smoreda, Z., Pedreschi, D., and Giannotti, F., “An analytical framework to nowcast well-being using mobile phone data”, International Journal of Data Science and Analytics, vol. 2, pp. 75–92, 2016.

B

E. Ntoutsi, Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M. - E., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., and others, “Bias in data-driven artificial intelligence systems—An introductory survey”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 10, p. e1356, 2020.

C

A. Basu, Corena, J. C., Monreale, A., Pedreschi, D., Giannotti, F., Kiyomoto, S., Vaidya, J., and Miyake, Y., “CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud”, in Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on, 2014.

G. Betti, Mulas, A., Natilli, M., Neri, L., and Verma, V., “Comparative indicators of regional poverty and deprivation: Poland versus EU-15 Member States”, in conference Comparative Economic Analysis of Households‟ Behaviour (CEAHB): Old and New EU Members, Warsaw University, 2005.

P. Resce, Vorwerk, L., Han, Z., Cornacchia, G., Alamdari, O. Isfahani, Nanni, M., Pappalardo, L., Weimer, D., and Liu, Y., “Connected Vehicle Simulation Framework for Parking Occupancy Prediction (Demo Paper)”, in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.

D

B. Furletti, Gabrielli, L., Trasarti, R., Smoreda, Z., Vanhoof, M., and Ziemlicki, C., “Detecting and understanding big events in big cities”, in NetMob, Boston, 2015.

E

V. Voukelatou, Pappalardo, L., Gabrielli, L., and Giannotti, F., “Estimating countries’ peace index through the lens of the world news as monitored by GDELT”, in 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), 2020.

N. Forgó, Hänold, S., van den Hoven, J., Krügel, T., Lishchuk, I., Mahieu, R., Monreale, A., Pedreschi, D., Pratesi, F., and van Putten, D., “An ethico-legal framework for social data science”, 2020.

N. Forgó, Hänold, S., van den Hoven, J., Krügel, T., Lishchuk, I., Mahieu, R., Monreale, A., Pedreschi, D., Pratesi, F., and van Putten, D., “An ethico-legal framework for social data science”, 2020.

G

M. Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., “Give more data, awareness and control to individual citizens, and they will help COVID-19 containment”, 2021.

M. Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., “Give more data, awareness and control to individual citizens, and they will help COVID-19 containment”, 2021.

I

V. Verma, Betti, G., Natilli, M., and Lemmi, A., “Indicators of social exclusion and poverty in Europe’s regions”. 2005.

M

S. Ceri, Valle, E. Della, Pedreschi, D., and Trasarti, R., “Mega-modeling for Big Data Analytics”, in Conceptual Modeling - 31st International Conference {ER} 2012, Florence, Italy, October 15-18, 2012. Proceedings, 2012.

M. Nanni, Trasarti, R., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., de Romph, E., and Bruil, G., “MP4-A Project: Mobility Planning For Africa”, in In D4D Challenge @ 3rd Conf. on the Analysis of Mobile Phone datasets (NetMob 2013), Cambridge, USA, 2013.

P

A. Sirbu, Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V. D. P., Stumme, G., Theunis, J., Tria, F., and Van den Bossche, J., “Participatory Patterns in an International Air Quality Monitoring Initiative.”, PLoS One, vol. 10, p. e0136763, 2015.

V. Verma, Betti, G., Ballini, F., Natilli, M., and Galgani, S., “Personal income in the gross and net forms: applications of the Siena Micro-Simulation Model (SM2)”, in conference of the Società Italiana di Economia, Demografia e Statistica (SIEDS), Campobasso, 2003.

D. Pedreschi, Bonchi, F., Turini, F., Verykios, V. S., Atzori, M., Malin, B., Moelans, B., and Saygin, Y., “Privacy Protection: Regulations and Technologies, Opportunities and Threats”, in Mobility, Data Mining and Privacy, 2008, pp. 101-119.

A. Monreale, Wang, H. Wendy, Pratesi, F., Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., “Privacy-Preserving Distributed Movement Data Aggregation”, in Geographic Information Science at the Heart of Europe, D. Vandenbroucke, Bucher, B., and Crompvoets, J., Eds. Springer International Publishing, 2013, pp. 225-245.

R

P. Cintia, Fadda, D., Giannotti, F., Pappalardo, L., Rossetti, G., Pedreschi, D., Rinzivillo, S., Bonato, P., Fabbri, F., Penone, F., Savarese, M., Checchi, D., Chiaromonte, F., Vineis, P., Guzzetta, G., Riccardo, F., Marziano, V., Poletti, P., Trentini, F., Bella, A., Andrianou, X., Del Manso, M., Fabiani, M., Bellino, S., Boros, S., Urdiales, A. Mateo, Vescio, M. Fenicia, Brusaferro, S., Rezza, G., Pezzotti, P., Ajelli, M., and Merler, S., “The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy”, arXiv preprint arXiv:2006.03141, 2020.

P. Cintia, Fadda, D., Giannotti, F., Pappalardo, L., Rossetti, G., Pedreschi, D., Rinzivillo, S., Bonato, P., Fabbri, F., Penone, F., Savarese, M., Checchi, D., Chiaromonte, F., Vineis, P., Guzzetta, G., Riccardo, F., Marziano, V., Poletti, P., Trentini, F., Bella, A., Andrianou, X., Del Manso, M., Fabiani, M., Bellino, S., Boros, S., Urdiales, A. Mateo, Vescio, M. Fenicia, Brusaferro, S., Rezza, G., Pezzotti, P., Ajelli, M., and Merler, S., “The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy”, arXiv preprint arXiv:2006.03141, 2020.

T

S. Ceri, Palpanas, T., Valle, E. Della, Pedreschi, D., Freytag, J. - C., and Trasarti, R., “Towards mega-modeling: a walk through data analysis experiences”, {SIGMOD} Record, vol. 42, pp. 19–27, 2013.

M. Nanni, Trasarti, R., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., de Romph, E., and Bruil, G., “Transportation Planning Based on {GSM} Traces: {A} Case Study on Ivory Coast”, in Citizen in Sensor Networks - Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers, 2013.

U

B. Furletti, Gabrielli, L., Giannotti, F., Milli, L., Nanni, M., and Pedreschi, D., “Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach”, in 47th SIS Scientific Meeting of the Italian Statistica Society, Cagliari , 2014.

W

D. Marbach, Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., and Stolovitzky, G., “Wisdom of crowds for robust gene network inference.”, Nat Methods, vol. 9, pp. 796-804, 2012.

D. Marbach, Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., Aderhold, A., Stolovitzky, G., Bonneau, R., Chen, Y., Cordero, F., Crane, M., Dondelinger, F., Drton, M., Esposito, R., Foygel, R., De La Fuente, A., Gertheiss, J., Geurts, P., Greenfield, A., Grzegorczyk, M., Haury, A. - C., Holmes, B., Hothorn, T., Husmeier, D., Huynh-Thu, V. A., Irrthum, A., Karlebach, G., Lebre, S., De Leo, V., Madar, A., Mani, S., Mordelet, F., Ostrer, H., Ouyang, Z., Pandya, R., Petri, T., Pinna, A., Poultney, C. S., Rezny, S., Ruskin, H. J., Saeys, Y., Shamir, R., Sirbu, A., Song, M., Soranzo, N., Statnikov, A., Vega, N. M., Vera-Licona, P., Vert, J. - P., Visconti, A., Wang, H., Wehenkel, L., Windhager, L., Zhang, Y., and Zimmer, R., “Wisdom of crowds for robust gene network inference”, Nature Methods, vol. 9, pp. 796-804, 2012.

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