SoBigData Conference: Data Science for Society

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Start:
2017/09/08
End:
2017/09/08
Location:
Sala Azzurra, Scuola Normale Superiore, Piazza dei Cavalieri7, Pisa, Italy
Link:
Data Science for Society
Description:

Contact: Prof. Paolo Ferragina, Professore Ordinario di Algoritmi, Università di Pisa

Scientific Committee: Paolo Ferragina, Università di Pisa; Fosca Giannotti, Consiglio Nazionale delle Ricerche di Pisa; Fabrizio Lillo, Scuola Normale Superiore di Pisa e Università di Bologna; Dino Pedreschi, Università di Pisa;

Topics: Data science and its applications, Data-driven innovation, Industry 4.0, (Web) Search engines, Start ups on sport and well-being, SoBigData EU project, SoBigData Tuscan Data Challenge, Responsible data science.

Program:

08:30 – 09:15 Registration

09:15 – 09:30 Welcome and introduction, Fosca Giannotti (ISTI-CNR Pisa)

09:30 – 10:00 Invited talk: Active Question Answering, Massimiliano Ciaramita (Google, Zurich)

10:00 – 10:30 Coffee break

10:30 – 12:00 Data Science @ SoBigData

  • Societal Debates: Computational Analysis of Rumours and Fake News, Kalina Bontcheva (University of Sheffield)
  • City of Citizens: BigData Tuscany — Polycentric cities and competing airports, Mirco Nanni (ISTI-CNR Pisa)
  • Migration studies: Understanding it!, Christina Muntean (ISTI-CNR Pisa)
  • Economic performance: Risk in Financial Networks, Fabrizio Lillo (University of Bologna and SNS Pisa)
  • Social Sensing: Digital DNA fingerprinting for spambots detection, Stefano Cresci (IIT-CNR Pisa)
  • Social Network Analysis: Entropy-based approach to the analysis of bipartite networks, Fabio Saracco (IMT Lucca)
  • Algorithmic Methods: Fast ranking of documents in Web search engines, Rossano Venturini (University of Pisa)

12:00 – 13:00 Start-up stories on data-driven Innovation in sport and well-being

13:00 – 14:00 Lunch time

14:00 – 14:30 Invited talk: Towards Industrial Machine Intelligence, Michael May (Siemens, Munich)

14:30 – 15:10 SoBigData Tuscan Data Challenge

  • FIAT: Anomaly detection from streams of automotive data, Raffaele Perego (ISTI-CNR Pisa)
  • MPS: Recommendation systems for financial advisors, Daniele Regoli (SNS Pisa)
  • Autolex: automatic legal advice for unfair commercial practices, Marco Cornolti (University of Pisa)
  • Kinoa: from data to knowledge to improve roads accessibility, Paolo Cintia (ISTI-CNR Pisa) and Luca Pappalardo (University of Pisa)

15:10 – 15.25 Data-driven innovation for better health and economic sustainability of health care systems, Giuseppe Turchetti (Scuola Superiore Sant’Anna)

15:25 – 15.40 Responsible data science, Anna Monreale (University of Pisa)

15:40 – 16:00 SoBigData Training: Stories from the Master in Big Data Analytics, Dino Pedreschi (University of Pisa)

16:00 – 16:30  Concluding remarks
Paolo Ferragina (University of Pisa)