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CALL FOR PAPERS
SIS 2020 – 50th Scientific Meeting of the Italian Statistical Society
Pisa, 22 - 24 June 2020
Submissions are open for invited and contributed papers. An abstract of 
less than 200 words and a short paper of between 4 and 6 pages must be 
submitted online through the conference website 
(http://meetings3.sis-statistica.org/index.php/sis2020/50) following the 
website guidelines for the submission.

IMPORTANT DEADLINES
February 21st: short paper submission (for invited and contributed 
sessions, including posters)
March 20th: decision is taken, and possible revisions are required
April 10th: resubmission of the revised version
April 10th: late poster submission (without short paper publication, 
decision by April 24th)
May 8th: early bird registration

SHORT PAPERS SUBMISSION
All authors are invited to select the appropriate track during the 
submission process:
- authors of invited papers must select the track corresponding to their 
session title;
- authors of contributed papers must select the Contributed papers - 
oral or the Contributed papers - poster track.
Authors of contributed papers can choose to present their work in the 
form of poster or oral presentation. A poster session is scheduled 
during the cocktail party on Monday 22 June and posters will receive 
wide visibility during all social activities. The best posters as judged 
by a qualified jury will be awarded during the SIS general assembly.
Only if the number of accepted submissions for oral presentations 
exceeds those that can be allocated in the conference program, some of 
the contributed papers proposed for oral presentations could be turned 
into posters. In this case the order of arrival will be taken into account.
Notice that at least one of the authors of an accepted contribution has 
to register by May 8th to have it included in the final program and in 
the Book of short papers - SIS 2020.
Short papers must include:
- an introduction to the substantive problem and to the data analysed;
- the description of the approach and/or models used;
- a statement of the main results and conclusions;
- the most important key references.
All accepted short papers will be published in the "Book of short papers 
- SIS 2020" (with ISBN) edited by members of the Local Organizing and 
Programme Committees. A consent form available on the website must be 
uploaded as supplementary file during the submission process. Authors 
who don’t want to publish their work in the "Book of short papers - SIS 
2020" should avoid filling the consent form. More information here 
(http://meetings3.sis-statistica.org/index.php/sis2020/50/schedConf/cfp).

CONFERENCE PUBLICATIONS
Extended versions of a selection of short papers will be published in a 
Springer book in the series Proceedings in Mathematics & Statistics 
(ProMS). Books already in the series:
https://www.springer.com/it/book/9783030211578, Selected Papers of the 
SIS Conference Statistics and Demography – the Legacy of Corrado Gini, 
held in Treviso in September 2015 (SIS2015)
https://www.springer.com/it/book/9783319739052, Selected Papers of the 
48th Scientific Meeting of the Italian Statistical Society (SIS2016)
https://www.springer.com/it/book/9783030054199, Selected Papers of the 
SIS Conference Statistics and Data Science: new challenges, new 
generations, held in Florence, Italy on June 28-30 (SIS2017)
The book will be edited by members of the Program Committee. Authors of 
papers in the Book of short papers - SIS 2020 are invited to submit an 
extended version of their work by September 18th for possible publication.
For papers focused on statistical models with applications to complex 
data from social, behavioral and life science contexts there will be a 
call for papers for a Special issue of the Metron journal. Submitted 
extended papers will undergo the regular peer review process.

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Nicola Salvati
Associate Professor in Statistics
Department of Economics and Management
University of Pisa
Phone Numbers
Mobile: +39 335 1520560
Office: +39 (0)50 2216 492
fax: +39 (0)50 2216 375
Email
Work: [log in to unmask]
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