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ABSTRACT May 31
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RESEARCH SCHOOL ON STATISTICS AND DATA SCIENCE 2019 [DBLP, Google Scholar, Scopus, Web of Science] (RSSDS2019)

Melbourne, Australia
Organization: La Trobe University
Event: RSSDS2019
Categories: Science, Engineering, Miscellaneous
Event Date: 2019-07-24 to 2019-07-26 Abstract Due: 2019-05-31

The collection and examination of data has become widespread in its presence and impact to everyday life. It is therefore important to gain a better understand of data and the ways in which we can interact with data in order to positively effect the world around us. Statistics and data science, as well as allied fields such as artificial intelligence, data mining, econometrics, neural networks, machine learning, and signal processing all strive towards the goals of better analysis, appreciation, and interpretation of data, and thus of the modern world. 

RSSDS2019 is the third of a series of workshop-style gatherings that had previously been held at the University of Caen, as S4D2018 and SBDS2017. The intention of the gathering is to provide a less-formal setting for academics and students to interact and discuss the many applications and focus areas of data analysis and understanding. The workshop also aims to bring together a diverse audience, from different career paths and stages, from different countries, as well as from different walks of life. To this end, the workshop will involve eight engaging tutorial-style lectures from an esteemed and distinct group of speakers, as well as poster sessions that showcase the many exciting contributions of the workshop attendants. 

This year, the research school will be held at the Institute for Advance Study, at La Trobe University. The event will run all day, on the 24th–26th of July, 2019. Morning and afternoon tea will be served in between sessions on each day, and a social gathering will be hosted on the evening of the first day. A workshop dinner will also be hosted on the evening of the second day. The format of the workshop aims to encourage the maximum amount of social interaction between participants as to lead to the highest levels of collaborations and network building for all attendees. 

SPEAKERS 

The conference aims to foster communication and collaboration between researchers in statistics and data science, across the spectra of career stages and nationality, and who represent a diverse subset of society. As such, we have organised a broad range of speakers who arise from different backgrounds and who are at different levels of there academic careers. These include the following confirmed presenters: 

Faicel Chamroukhi (University of Caen, France) 
Florence Forbes (Inria Grenoble Rhone-Alpes, France) 
Charles Gray (La Trobe University, Australia) 
Natalie Karavarsamis (La Trobe University, Australia) 
Geoffrey McLachlan (University of Queensland, Australia) 
Hien Nguyen (La Trobe University, Australia) 
Kai Qin (Swinburne University, Australia) 
Emi Tanaka (University of Sydney, Australia) 

POSTER AND PAPER SUBMISSIONS 

Every presented poster at the workshop must be accompanied by a proceedings paper. The paper will be fully peer reviewed by members of the scientific committee. The poster and paper should be of broad interest to the data analytics and quantitative sciences community and can be applicational or theoretical in nature. Appropriate industry reports will also be considered. Topics of interest include, but are not limited to: 

Bioinformatics 
Statistics 
Data Analysis 
Data Science 
Data Mining 
Data Visualisation 
Machine Learning 
Neural Networks 
Probability 

All proceedings papers will be made available to workshop participants, electronically. Additionally, proceedings papers will be archived online, and given individual DOIs after the conference. The proceedings itself will be given an ISBN. The proceedings will be submitted for indexing at DBLP, Google Scholar, Scopus, and Web of Science. 

Posters will also be archived and made available online, after the conference. Every paper must be accompanied by a registration in order to be included in the proceedings. 

All submissions must be made before the 31st of May, 2019 (midnight, Melbourne time)! 

PREPARATION INSTRUCTIONS 

All papers should be prepared using LaTeX, and should be formatted using the workshop template. The paper should be no more than 15 pages in the template format, including references, figures and tables, without modification. All submissions are to be made using the submission website, linked here. Authors should upload two files: 

1. their LaTeX source and accompanying files as a ZIP file 
2. PDF of their proceedings paper 

Submissions can be made here: https://rssds2019.sciencesconf.org/submission/submit 

IMPORTANT DATES 

31 May, 2019—Due date for paper submissions 
28 June, 2019—Author notifications 
5 July, 2019—Final version of paper due date 
24 July, 2019—Start of workshop 
26 July, 2019—End of workshop 

REGISTRATION 

The event is not-for-profit and thus registration is set to as low a cost as possible, as to cover the overheads of the event. The registration is also modular, so attendees can opt into what they want! The costs are as follows (all prices are in AUD): 

Workshop Registration: $220 
Networking Drinks on the 24th of July: $50 
Workshop Dinner on the 25th of July: $50 
Alcoholic Beverages at the Conference Dinner: $25 
Workshop Registration admits one individual to the Research School. One registration is required for each paper to be included in the conference proceedings. 

The Network Drinks ticket covers the cost of unlimited wines, beers, and soft drinks for two hours, for an individual, as well as light snacks. 

The Workshop Dinner ticket admits one individual to the Workshop buffet dinner. Vegetarian options will be served. Accompanying unlimited wines, beers, and soft drinks for two hours, for an individual, can be purchased separately. 

Registration and tickets can be purchased, securely at https://www.trybooking.com/BBPLR. 

Only 150 tickets can be sold so hurry up to register your place at RSSDS2019, now!

https://sites.google.com/view/rssds2019/home

h.nguyen5@latrobe.edu.au

Hien Duy Nguyen