About the Conference

Information for chairs and speakers

Keynote sessions have 60 minutes, with 40/45 minutes for the keynote speaker and 20/15 for floor discussion.
Invited sessions include three talks and have 75 minutes. The chairs will split the session overall time among the speakers, leaving time for floor discussion
Solicited sessions may include three or four talks and have 70 minutes. The chairs will split the session overall time among the speakers, leaving time for floor discussion.
Contributed sessions include 4 talks and have 70 minutes. Each contributed talk has 15 minutes, including floor discussion.

Conference Topics

Researchers and practitioners interested in Statistics and Data Science and the related methodological and applied fields are invited to submit papers for the Third Meeting of the Statistics and Data Science group. The interplay between Statistics and Data Science is gaining more and more interest not only for statisticians but also for Physicists and Computer Scientists. We call for papers treating themes related to the modelling and analysis of complex data and proposing new or ad hoc approaches pertaining to the following aims:

Computational Statistics
Data Ethics & Fairness in Machine Learning Data Stream Analysis
Data Visualization
Deep Learning
Dimensional Reduction
Education & Data Literacy
Ensemble methods for classification Explainable AI
Geometrical Data Analysis
Learning with Imbalanced Data
Mining Complex Data
Practice & Applications
Prediction & Classification
Preference Learning
Textual Data Analysis
Unsupervised Models
Variational Inference

Organizing Team

Program Committee

Rosanna Verde, Università of Campania - Luigi Vanvitelli, Italy
Paola Cerchiello, University of Pavia, Italy
Leonardo Egidi, University of Trieste, Italy
Antonella Plaia, University of Palermo, Italy
Silvia Salini, University of Milan, Italy
Claudio Ardagna, University of Milano, Italy
Pierpaolo Brutti, University of Roma - La Sapienza, Italy
Marcello Chiodi, University of Palermo, Italy
Claudio Conversano, University of Cagliari, Italy
Antonio D’Ambrosio, University of Napoli - Federico II, Italy
Salvatore Micciche’, University of Palermo, Italy
Cinzia Viroli, University of Bologna, Italy

Local organizing committee

Antonella Plaia, University of Palermo - DSEAS, Italy
Antonino Abbruzzo, University of Palermo - DSEAS, Italy
Giada Adelfio, University of Palermo - DSEAS, Italy
Alessandro Albano, University of Palermo - DSEAS, Italy
Luigi Augugliaro, University of Palermo - DSEAS, Italy
Giovanni Boscaino, University of Palermo - DSEAS, Italy
Nicoletta D’Angelo, University of Palermo - DSEAS, Italy
Chiara Di Maria, University of Palermo, DSEAS, Italy
Angelo Mineo, University of Palermo - DSEAS, Italy
Mariangela Sciandra, University of Palermo - DSEAS
Andrea Simonetti, University of Palermo - DSEAS
Gianluca Sottile, University of Palermo - DSEAS, Italy
Michele Tumminello, University of Palermo - DSEAS, Italy

Accomodation

Please send an email to booking@interludehotels.it and cite the code UNIPA to book an affiliated hotel.

Hackathon

Hack4SDS is the second edition of the national hackathon organised by the Statistics & Data Science (SDS) Group of the Italian Society of Statistics (SIS), scheduled for 23-24 March 2024 and lasting 48 hours. The best teams in the preliminary ranking will be invited to present their results during the “Statistic and Data Science Conference” on 12 April in Palermo.

The event is open to all university students with a passion for data analysis and will focus on the analysis of economic data.

The aim is to let students try their hand at real datasets and engage them in a competition that allows them to showcase their skills in data analysis and modelling.

By participating in Hack4SDS as a player, you will be able to analyse open data and collaborate with your team members in innovative ways.

By sponsoring a Hack4SDS competition, you will be able to increase the visibility of your brand within the Italian Data Science community.

Click here for more information.