IASC News December 2021

ISI-Elected members from IASC

Title: New ISI-Elected Members from IASC
Summary: The IASC-ISI Nomination Committee congratulates three new ISI elected members from IASC as a result of the fourth ISI election round in 2021: Ricardo Ehlers (Brazil), Tsung-I Lin (Taiwan), Alejandro Murua (Canada)


IASC-LARS Webinar (February 2022)

Title: IASC-LARS Webinar: Time Series Robust Methods – In the Time and Frequency Domains, February 01 and February 03, 2022
Summary: We start 2022 with energy! After the IASC-LARS webinars that have taken place since 2020, this time, the focus is Time Series Robust Methods, this webinar is scheduled to occur on February 1 and February 3, instructor Prof. Valdério Anselmo Reisen (PPGEA, PPGEco, PPGMAT-UFES, Brazil and CentraleSupeléc-ParisSaclay, France).
Registration at https://register.gotowebinar.com/register/2231515343043757068


IASC-LARS Report on webinar of November 2021

Title: IASC-LARS Report on Webinar Course on Computational Statistics and Data Science “Data Visualization Theory and Applications” November 22-24, 2021, by Alba Martinez-Ruiz
Summary: The IASC-LARS organized a webinar on Computational Statistics and Data Science November 22-24, 2021: 280 participants were there!

More information:
The Latin American Regional Section of the International Association for Statistical Computing (IASC-LARS), the IASC-LARS School on Computational Statistics and Data Science, the International Association for Statistical Computing (IASC), and the International Statistical Institute (ISI) held a successful IASC-LARS Webinar on Computational Statistics and Data Science on November 22 and 30, and on December 1, 2021. The webinar course “Data Visualization Theory and Application” was taught by Dr. Natalia da Silva from Universidad de la República, Uruguay.

In numbers: 577 persons registered for the course, 280 attended the course, and 99 attended all days. Participants are from 47 countries:54% from Latin America, 22% from Africa, 17% from Asia, 5% from Europe, 2% from North America. 39% are students, 26% are academics, 16% are researchers, 11% are from government institutions, 4% are from industry (145 academics registered in the course)
We are very grateful for the support provided by the International Statistical Institute and the Statistical Capacity Building Program. We thank everyone involved who has made this webinar a great success!

Full report here:


JDSSV – New issue

Title: New issue of the Journal of Data Science, Statistics and Visualization
Summary: JDSSV has published its first issues. The journal is completely open access. The papers can be accessed at
Submissions are welcome !

It is our great pleasure to announce that Journal of Data Science, Statistics, and Visualization (JDSSV) has now published its first issues. JDSSV is completely open access. The published papers can be accessed at

Feel free to send this announcement to all your colleagues with an interest in data science, statistics and/or visualisation.

JDSSV is an international refereed journal which creates a forum to present recent progress and ideas in the different disciplines of data science, statistics, and visualisation. JDSSV welcomes submissions to data science, statistics, and visualisation and, in particular, papers which link and integrate these subject areas.

Articles should be oriented towards a wide scientific audience, and can cover topics such as machine learning and statistical learning, the visualisation and verbalisation of data, visual analytics, big data infrastructures and analytics, interactive learning, and advanced computing. Scientific contributions should be of a high standard.

The journal explicitly welcomes contributions that include software with the aim of reproducibility of the results and application of the proposed methodology to other data by the reader. It is expected that data used in a paper are provided.
Initial submissions only require a pdf version of the manuscript with accompanying software code and necessary supplementary material. Manuscripts can be submitted online at https://jdssv.org.

Supported by
・The International Association for Statistical Computing (IASC, owner)
・International Statistical Institute (ISI)

Editorial Board
・Patrick J.F. Groenen (Editor, Erasmus University Rotterdam, The Netherlands)
・Stefan van Aelst (Editor, KU Leuven, Belgium)
・Ann Maharaj (Copy Editor, Monash University, Australia)
・Alexandre Francisco (Web Editor, Técnico Lisboa, Portugal)

Advisory Board
・Jan de Leeuw (UCLA, USA)
・David Hand (Imperial College, UK)
・Trevor Hastie (Stanford University, USA)
・Peter Rousseeuw (KU Leuven, Belgium)