SCIENTIFIC PROGRAM

International Statistical Conference on

SEAS IN 2023 - Statistical LEArning Sustainability and Impact Evaluation

 

Practical information for authors of invited sessions

Papers in the 'invited sessions' will be presented first as a 20-minute presentation.
Please use a PDF file for your presentation and standard fonts. The PDF files will be uploaded to the computer before the start of the session.
For each invited session, there will be a chair who will introduce the talks with a 5-minute presentation at the start of the session. A discussant will then stimulate and coordinate a 15-minute debate at the end of all the talks.
There will be 10 minutes allocated for audience questions and authors' replies.

Practical information for authors of contributed sessions

Papers in the "contributed sessions" will be presented first as a 5-minute presentation (a speedy-talk, during which you may present framework, key-ideas, main results and their meaning/implication). Please use a PDF file for your presentation and standard fonts. The PDF files will be uploaded to the computer before the start of the session.
For a better organization of the presentations, we suggest you to organize your presentation in 6-7 slides according to the following outline:

  1. Title and authors' affiliations
  2. The framework
  3. Description of the research problem
  4. Methodology and main results
  5. Conclusions
  6. Main references

or each contributed session there will be a discussant who will stimulate and coordinate a 30-minute debate at the end of all speedy talks. The discussion will continue at the "exhibition corner for contributed sessions" after the presentations during the coffee-break following the session.
To this end, we strongly recommend authors to prepare also a poster in A1 format, which measures 59.4 x 84.1 cm (23 x 33 inches) in portrait orientation.
If an A1 poster is not possible, up to eight A4 sheets can be used instead.
There are 10 available corners for displaying posters, with a maximum of 4 posters per corner (two on each side).
Poster should be fixed the before the beginning of session and removed immediately after lunch (for morning presentation) or at the end of the day (for afternoon presentation).

The Faculty offers an external printing service at the "Centro Copie Economia Univpm-Ancona", which can print A4 and A3 size PDF documents.
The cost for an A4 black and white copy is € 0.04, while a color copy costs € 0.40. The price for an A3 black and white copy is €0.08 and € 0.80 for a color copy.

You can also send your file to the following email address: centrocopieeco@libero.it.

 


SIS2023 Programme



 

 

Keynote speakers


Maria Pia Victoria-Feser
Full Professor
Research Center for Statistics, Geneva School of Economics and Management
University of Geneva

Christopher Wikle
Distinguished Professor of Statistics
Department Chair
University of Missouri

Emilio Zagheni
Executive Director
Max Planck Institute for Demographic Research

 

Invited sessions


Session title Organization

Advances in Data Science and Statistical Learning

[IMS Invited Session]

Regina Liu
Rutgers University
Advances in statistical methods for complex problems Guido Consonni
Università Cattolica del Sacro Cuore)

Luigi Augugliaro
Università degli Studi di Palermo
Bayesian contributions to Statistical Learning Federico Camerlenghi
Università di Milano-Bicocca
Challenges towards Fairness and Transparency for Data Processes, Algorithms and Decision-Support Models
Claudia Tarantola
Università di Pavia
Data Visualization for Smart Insights and Advanced Predictive Analytics Roberta Varriale
Sapienza Università di Roma
Educational Data mining: methods for complex data in students' assessment Silvia Cagnone
Dipartimento di Scienze Statistiche
Università di Bologna
ENBIS Session: System Maintenance, Boosting algorithms for regression, and Research Excellence
Rossella Berni
Università degli studi di Firenze
Explainable Machine Learning Models Mariateresa Ciommi
Università Politecnica Marche

Francesca Mariani
Università Politecnica Marche
Flexible Learning for Environmental Sustainability Ilaria Prosdocimi
Università Ca’ Foscari Venezia
Futures studies and statistics for a sustainable tomorrow Mario Bolzan
Dipartimento di Scienza Statistiche, Università di Padova

Inequalities in higher education outcomes: learning from data


Gabriella Campolo
Università di Messina

Isabella Sulis
Università di Cagliari

Machine learning: different uses and perspectives Matteo Mazziotta
ISTAT
Sessione in collaborazione con SIEDS
Machine learning in the design, analysis and integration of sample surveys Daniela Marella
Sapienza Università di Roma
Methods for the analysis of distributional data Rosanna Verde
Università della Campania Luigi Vanvitelli
Migrants and Refugees in Europe: social, economic and health-related issues

Livia Elisa Ortensi
Università di Bologna

Manuela Stranges
Università della Calabria

Modelling and Forecasting High-dimensional time series Edoardo Otranto
Università di Messina
Population Dynamics, Climate Change and Sustainability Raya Muttarak
Università di Bologna
Spatial and Spatio-Temporal Modeling: Theory and Applications Pierfrancesco Alaimo Di Loro
Università LUMSA
Statistical Framework for Measuring the Sustainability of Tourism

Pasquale Sarnacchiaro
Università di Napoli Federico II

Carlo Cavicchia
Erasmus University Rotterdam

Statistical Learning for health research and omics data
Laura Anderlucci
Università di Bologna
Statistical learning for well-being analysis Giuseppe Ricciardo Lamonica
Università Politecnica Marche
Statistical Learning of demographic and health dynamics Stefano Mazzuco
Dipartimento di Scienze Statistiche
Università di Padova
Statistical Machine Learning for environmental applications Michela Cameletti
Università di Bergamo
Statistical Process Monitoring for Complex Data in Industry 4.0 Christian Capezza
Università di Napoli Federico II
The Economic behaviour of Sustainability
Ilaria Benedetti
Univ. La Tuscia

 

Submission page

(for already registered users)

Registration form

(for new users)