Due to the high number of requests, the deadline for short paper submission is extended until October 30th, 2021

::: NEW DEADLINES :::

- Short Paper Submission: October 30^th 2021

- Notification to authors (decision is taken, and possible revisions are required): November 22^th 2021

- Resubmission of the revised version: December 10^th 2021

- Early bird registration: December 15^th 2021

We are inviting submissions to the special issue of the Computational Statistics Journal dedicated to high-dimensional data analysis and visualisation techniques for service quality assessment.

Digital world transformation and rapid advances in Information Technologies are bringing new challenges and opportunities for statisticians. This special issue welcomes submissions focusing on modern statistical methodologies, with emphasis on computational aspects, arising from the service evaluation of a human-centred society with applications areas such as Sustainability, Health, Wellness, Sport, Tourism, Transportation, Education, Environment and Innovation, and highlighting how statistical thinking, design and analysis may be of use to a Society 5.0.

Papers in the following areas are particularly welcome, as long as they pertain to the general theme of the special issue: Visualisation techniques; Classification; Discrimination; Dependence models; Prediction; GLMMs; Big Data, High-dimensional, Multivariate and Multi-way data analysis; Hypothesis testing and model selection; Nonparametric modelling; Statistical Learning.

All submissions must contain original unpublished work not being considered for publication elsewhere. Submissions will be refereed according to the standard procedures for Computational Statistics Journal.

Information about the journal can be found at Computational Statistics | Home (springer.com)

The deadline for submissions is March, 30th 2022. However, papers can be submitted at any time and they will enter the editorial system immediately.

Papers for the special issue should be submitted to https://www.editorialmanager.com/cost/default.aspx

In the Editorial Manager tool please choose the special issue on “High-dimensional Data Analysis and Visualisation to Assess Service Quality”. For further information please send an email to: enrico.ripamonti@unibs.it

The special issue editors:

Cathy W. S. Chen

Lombardo Rosaria

Enrico Ripamonti

Dear Colleague,

on behalf of the organizing committee, it is a pleasure to announce that the 10^th Scientific Meeting of the Statistics for the Evaluation and Quality of Services Group of the Italian Statistical Society SVQS, titled IES 2022 - Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment, will be held on January 27-28, 2022 at the University of Campania "L. Vanvitelli".

IES 2022 is sponsored by the Italian Statistical Society (SIS) http://meetings3.sis-statistica.org/index.php/index/index/index/index/, the European Network for Business and Industrial Statistics (ENBIS) https://enbis.org/ and  the International Association for Statistical Computing (IASC) https://iasc-isi.org/2021/06/18/iasc-news-june-2021/. They will participate in the scientific committee and organize sessions on selected topics, enlarging the list of the areas of interest. Similarly, Statistics and Data Science (SDS) and Enhancement of Public Statistics (VSP), who are other Groups of the Italian Statistical Society, will actively participate to the conference.

IES 2022 - Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment has the scientific finality to promote and coordinate the statistical and economic methodologies for the evaluation of a human-centered society emphasizing how statistical thinking, design and analysis may be of use to a Society 5.0, to foster advanced methodological research supporting the assessment of quality of social services, and to be a platform where the experts of Statistics, Data Mining, Data Science, Machine Learning and related disciplines meet for analysing Big Data.

Contributions based on the development of all innovative statistical methodologies as well as of all interesting applications are welcome. The subject-matter of the contributions cover the following areas (but not limited to):

Sustainability, Health, Wellness, Sport, Tourism, Education, Training and Research, Bank and FinTech, Transportation, Environment, Enterprise, Industry and Finance, E.commerce, Digital Marketing, Labour Market, Public Administration, Justice System.

On Behalf of the Organizing Committee

Rosaria Lombardo