The Conference of Data Science, Statistics & Visualisation (DSSV 2018)

The conference of Data Science, Statistics & Visualisation (DSSV 2018) will take place on 9-11 July 2018 in TU Wien, Austria. This meeting shall create a forum to discuss recent progress and emerging ideas in these different disciplines and encourage informal contacts and discussions among all the participants. The conference welcomes contributions to practical aspects of data science, statistics and visualisation, and in particular those which are linking and integrating these subject areas. Presentations should thus be oriented towards a very wide scientific audience, and can cover topics such as machine learning and statistical learning, the visualisation and verbalization of data, big data infrastructures and analytics, interactive learning, advanced computing, and other important themes.
The conference will feature the keynote speaker Jerome H. Friedman (Stanford University) and Helwig Hauser (University of Bergen), and Invited speakers Zeynep Akata (University of Amsterdam), Mia Hubert, (KU Leuven), Eric Postma (Tilburg University), Ryan Tibshirani (Carnegie Mellon University) and Sara van de Geer (ETH Zurich).
We are looking forward to your contributions to practical aspects of data science, statistics and visualisation, and in particular those which are linking and integrating these subject areas.
The deadline for abstract submission is 9 April 2018 subject to no other postponement. The DSSV2018 scientific committee encourages and welcomes you to submit your abstract. We look forward to receive many exciting contributions! For more details, please see https://iasc-isi.org/dssv2018/.
Registration and abstract submission started on 8 January 2018.
The TU Wien is situated in the very heart of Vienna, in the pulsating cultural centre of town. Within easy walking distance are the Opera House, the art nouveau Secession building, the Musikverein, home of the Vienna Philharmonic, from which the New Year’s Concert is annually broadcast around the globe, and the splendid baroque Karlskirche (Church of St. Charles).

European Conference on Data Analysis 2018
Paderborn, Germany, 4-6 July 2018
For details please see https://iasc-isi.org/2017/11/30/call-for-papers-ecda-2018-european-conference-on-data-analysis/ and http://www.ecda2018.de

Call for Papers
The next European Conference on Data Analysis (ECDA) will take place in Paderborn, Germany, on 4-6 July 2018. ECDA 2018 includes the 42nd Annual Meeting of the GFKl Data Science Society and the Symposium on Data Science Education of the European Association for Data Science (EuADS). It will be located in the Heinz Nixdorf Museums Forum (www.hnf.de), the world’s largest computer museum.

ECDA solicits contributions to theoretical as well as application-oriented research on topics in the realm of data science, with a specific focus on data analytics. With its motto “Multidisciplinary Facets of Data Science”, ECDA 2018 specifically emphasizes the important interplay of disciplines involved in data science, most notably statistics and computer science. Topics of interest include, but are not limited to the following:
– Theory and Methods: Big Data; Clustering, Classification, Discrimination and Regression; Data Science; Databases and Data Management; Data Mining, Text and Web Mining; Data Visualization; Dimension Reduction; Image Analysis and Computer Vision; Impact of Technical Revolution and Library Science; Knowledge Representation and Discovery; Machine Learning; Mathematical Foundations of Data Science; Multivariate Methods; Online Algorithms and Algorithms for Data Streams; Social Network Analysis; Statistical and Econometric Methods;
Symbolic Data Analysis.
– Applications: Archeology; Biostatistics; Business and Management; Economics; Education; Engineering; Finance; Geosciences; Industrial Automation; Linguistics; Marketing; Medicine and Health Care; Musicology; Psychology; Risk Management; Social Sciences.

Important Dates
– Abstract submission deadline: 1 April 2018
– Notification of abstract acceptance or rejection: 30 April 2018
– Early registration deadline: 15 May 2018
– Registration deadline: 15 June 2018
– Full paper submission: 15 September 2018

Accepted full papers will be published in the Journal “Archives of Data Science, Series A”
(http://www.archivesofdatascience.org/journals/series_a/).

3rd Latin American Conference on Statistical Computing (LACSC)

Call for Papers
The 3rd Latin American Conference on Statistical Computing (LACSC 2018) will be held in San Jose, Costa Rica, from 27 February to 2 March 2018. This international conference, will be held together with the XXI International Symposium on Mathematical Methods Applied to the Sciences (XXI SIMMAC), which is the most important event in applied mathematics in Central America. Its aim is to gather researchers interested in statistical computing in Latin America and from other parts of the world, and is the official conference of the recently established Latin American Regional Section of the International Association for Statistical Computing (LARS-IASC). More details about the 3rd LACSC can be found on our website http://www.cimpa.ucr.ac.cr/simmac/en/lacsc.
Young researchers (up to 5 years after their last academic degree) attending the 3rd LACSC will have the possibility to compete for the “Best LACSC 2018 Paper Award”.

COMPSTAT 2018
The 23rd International Conference on Computational Statistics will take place in Iasi, Romania, 28-31 August 2018. A number of tutorials will be given during the conference. The conference is sponsored by the European Regional Section of the IASC and is organized by the Alexandru Ioan Cuza University of Iasi.
Details are available at http://www.compstat2018.org/index.php

Joint Summer School on Clustering, Data Analysis and Visualization of Complex Data

The Joint Summer School on Clustering, Data Analysis and Visualization of Complex Data will take place in Catania, Italy, on 21-25 May 2018. The summer school is a joint effort by ERS-IASC (European Regional Section of International Association for Statistical Computing) ECAS (European Courses in Advanced Statistics) and CLADAG (Classification and Data Analysis Group of the Italian Statistical Society). More details can be found at http://www.clucla-summerschool.org/

 

Download: 2018-02IASC