RSSDS 2019: Research School on Statistics and Data Science 2019 La Trobe University Melbourne, Australia, July 24-26, 2019 |
Conference website | https://sites.google.com/view/rssds2019/home |
Submission link | https://easychair.org/conferences/?conf=rssds2019 |
Abstract registration deadline | June 14, 2019 |
Submission deadline | June 14, 2019 |
Data has become the new oil of the 21st century. The collection, examination and modelling of today's data has become a valuable and much sought after skillset for businesses and large enterprises seeking the next generation of data science professionals.
Currently one of the top paid technology jobs, data science is at the heart of many of the top Fortune 500 companies including Google, Facebook, Netflix and Tesla. The potential for impact in the new data driven world is limitless.
The Research School on Statistics and Data Science 2019 (RSSDS2019) provides a series of lectures and posters delivered by experienced academic and industry members on the cutting edge statistics and data science applications and theory.
Aside from being considered among the most desirable jobs of the 21st century, the real world value of data science and skilled data scientists cannot be understated. The most successful data science professionals are those who can hone the power of statistics, programming, domain knowledge and data visualisation.
Statistics, Data Science, and allied fields such as AI and Machine Learning are rapidly growing, and the improvement of data analysis and enrichment will enable individuals to make world changing developments.
The workshops at RSSDS2019 will empower current and upcoming data scientists (and enthusiasts) with new knowledge, understanding and exploration into many varied and interesting data domains, alongside the opportunity to network with many others involved at various levels in the exciting data science scene.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
All presented posters at the workshop must be accompanied by a proceedings paper.
All submissions are to be made via the submission website. Please read the Submission Requirements below before submitting.
Topics of interest include but are not limited to:
- Data Analysis
- Data Science
- Data Mining
- Data Visualisation
- Bioinformatics
- Machine Learning
- Neural Networks
- Statistics
- Probability
The papers will be fully peer reviewed by members of the scientific committee. Posters and papers 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.
Committees
Program Chairs
- Faicel Chamroukhi (University of Caen, France)
- Florence Forbes (Inria Grenoble Rhone-Alpes, France)
- Natalie Karavarsamis (La Trobe University, Australia)
- Hien Nguyen (La Trobe University, Australia)
Program Committee
- Faicel Chamroukhi (University of Caen, France)
- Florence Forbes (Inria Grenoble Rhone-Alpes, France)
- Daniel Fryer (La Trobe University, Australia)
- Charles Gray (La Trobe University, Australia)
- Natalie Karavarsamis (La Trobe University, Australia)
- Geoffrey McLachlan (University of Queensland, Australia)
- Hien Nguyen (La Trobe University, Australia)
- Luke Prendergast (La Trobe University, Australia)
- Kai Qin (Swinburne University, Australia)
- Emi Tanaka (University of Sydney, Australia)
Invited Speakers
- 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)
Publication
The workshop proceedings will be published as a Springer Communications in Computer and Information Science (CCIS) volume.
All proceedings papers will be made available to workshop participants, electronically. Additionally, proceedings papers will be archived online, and given individual DOIs after the workshop. The proceedings will be given an ISBN and all papers will be indexed at DBLP, Google Scholar, Scopus, and Web of Science.
Posters will also be archived and made available online, after the workshop.
Every paper must be accompanied by a registration in order to be included in the proceedings.
Venue
This year, the research school will be held at the Institute for Advance Study, at La Trobe University.
- The event will run all day, between 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.
Contact
All questions about submissions should be emailed to Hien Nguyen at h.nguyen5@latrobe.edu.au
Sponsors
The conference is sponsored by:
- Springer CCIS
- La Trobe University
- University of Caen
- Inria
- AFRAN
- Region Normandie
- ANR