IASC News October 2022
IASC announces the Data Analysis Competition 2023
Title: IASC announces the Data Analysis Competition 2023
Summary: IASC announces the Data Analysis Competition 2023 on the data analysis of disasters, illnesses, and other unfortunate events. The entries to DAC 2023 must be submitted as a poster in PDF format before 14-th March 2023, see https://iasc-isi.org/data-analysis-competition/ for detailed instructions.
The International Association for Statistical Computing (IASC) announces the Data Analysis Competition 2023.
Motivated by the current state of world, the theme of the 2023 competition is around data analysis of disasters, illnesses, and other unfortunate events. Of course, it is possible to investigate also any other related issues (effects on health, education, industry, finance, environment, social inequalities, etc.) You may concentrate on individuals, a single region (e.g., your own country), a continent or even the entire world but, most importantly, the submission should clearly describe the significance of your findings and, if possible, also describe a feasible remedy.
The awards include a travel grant supporting the presentation of the winning poster at the 64th ISI World Statistics Congress in Ottawa, invitation to submit a manuscript for possible publication to IASC’s Journal of Data Science, Statistics, and Visualisation, registration fees at the 64th ISI WSC, and free one year IASC membership.
The entries to DAC 2023 must be submitted as a poster in PDF format before 14-th March 2023.
More detailed information, including a flyer in PDF, may be found at https://iasc-isi.org/data-analysis-competition/
News from the IASC Executive Committee (October 2022)
Title: News from the IASC Executive Committee (October 2022)
Summary: IASC held its virtual Executive Committee meeting and General Assembly on October 3 and 7, 2022.
The IASC held its virtual Executive Committee (EC) meeting on Monday, October 3rd, 2022, and its virtual General Assembly (GA) on Friday, October 7, 2022. Nearly all the IASC EC members could participate at the EC meeting and about 23 IASC members join us for the GA.
IASC EC members towards the end of the Virtual IASC EC meeting on October 3, 2022
At both meetings, IASC activities, including reports from the three regional IASC sections and the African Members Group and the financial report, were discussed. IASC is financially stable and despite the on-going pandemics, many activities were organized in 2022, some virtually, others in hybrid format.
We would like to thank all organizers, instructors, and the participants, for making all these activities so successful.
Another IASC Data Analysis Competition (DAC) will be launched in 2023 (the call for applications is included in the newsletter). The next Data Science, Statistics and Visualisation (DSSV) conference will be held in Antwerp, Belgium, in July 2023. All three regional sections of the IASC, the Asian Regional Section (ARS), the Latin American Regional Section (LARS), and the European Regional Section (ERS) plan to hold regional conferences and schools in 2023. The African Members Group also plans to organize as many activities as they did in 2022. An overview of all the conferences, webinars,… organized by IASC can be found at https://iasc-isi.org/events-all/.
IASC-ERS: First announcement for COMPSTAT 2023
Title: 25th International Conference on Computational Statistics COMPSTAT 2023.
Summary: the conference will be held at the University of London, UK, 22-25 August 2023. It is sponsored by the European Regional Section of the IASC.
IASC-LARS: Call for LACSC Conferences, proposals from 2024 onwards
Title: Call for LACSC Conferences, proposals from 2024 onwards
Summary: Submit your proposal to host future LACSC Conference by sending an e-mail to email@example.com.
The Latin American Conference on Statistical Computing (LACSC), is an annual event organized by the Latin American Regional Section of the International Association for Statistical Computing (IASC-LARS), which aims to promote the progress of the theory, methods and practice of statistical computing in Latin America and become the main meeting point for the scientific community of statistical computing in the region.
The LACSC conferences have had several editions: The first one took place from July 22 to 24, 2016 and its venue was Gramado, Brazil. The second, from March 9 to 11, 2017 in Valparaíso, Chile. The third from February 27 to March 2, 2018 in San José, Costa Rica. The fourth from May 28 to 31, 2019 in Guayaquil, Ecuador. The fifth edition was held virtually in 2021, from April 19 to 21, in Mexico. And in the same format, the sixth edition was held in 2022, from March 16 to 18, in São Carlos, Brazil.
In 2023, the LACSC conference will be held in Lima, Peru, from April 3 to 5. Find all the details here: https://sites.google.com/pucp.edu.pe/lacsc-2023/inicio
Submit your proposal to host future LACSC Conferences by sending an e-mail to: firstname.lastname@example.org
Webinar organized by the IASC African Members Group (November 2022)
Title: Webinar on Response Surface Methodology with Application in R
Summary: IASC African Members Group presents a 90 minutes Webinar on 25th November, 2022
Abstract: Response surface methodology (RSM) is a collection of statistical and mathematical techniques useful for developing, improving, and optimizing processes. It also has important applications in the design, development, and formulation of new products, as well as in the improvement of existing product designs. The most extensive applications of RSM are in the industrial world, particularly in situations where several input variables potentially influence some performance measure or quality characteristic of the product or process. This performance measure or quality characteristic is called the response. It is typically measured on a continuous scale, although attribute responses, ranks, and sensory responses are not unusual. The rsm package for R provides several functions to facilitate classical response surface methods. The package is used to generate response surface designs, fit first and second order response surface models, make surface plots, obtain the path of steepest ascent, and do canonical analysis. The webinar will focus on generating an appropriate response surface design in R as well as using the software for fitting and displaying response surface models. It is envisaged that by the end of the webinar participants will have the requisite skills to undertake RSM analysis in R.
Speaker 1: Prof. John M. Mutiso
Prof. John M. Mutiso is a Professor of Statistics, School of Sciences & Aerospace Studies, Department of Mathematics, Physics and Computing, Moi University. He holds a PhD in Mathematics (Biostatistics) of Moi University, a Master of Science degree in Mathematical Statistics of University of Nairobi and a Bachelor of Education (Science) of University of Nairobi.
His research interest is on the construction of second and third order calculus optimum/unit value specific and sequential rotatable designs in both order and dimension from the six second order design classes comprising letter parameter second order rotatable designs in three dimensions postulated in a paper by Draper, N. R. (1960b). Third order rotatable designs in three dimensions, Annals of Mathematical Statistics 31, 865-874 see pages 871-874 in particular for which alphabetic optimality criteria are also being determined
Prof. Mutiso has successfully supervised 10 PhD students and 15 MSc students. He has published over 20 articles in peer-reviewed journals as well as presented in a number of scholarly conferences.
Speaker 2: Dr. Ayubu Anapapa Okango
Dr. Ayubu Anapapa Okango is a Senior Lecturer of Statistics in the Department of Mathematics and Actuarial Science, Murang’a University of Technology. He holds a PhD in Biostatistics of Moi University, a Master of Science degree in Statistics of Kenyatta University, a Postgraduate Diploma in Information Technology Management of the University of Sunderland and a BSc. Majoring in Statistics and Computer Science (First class honors) from Jomo Kenyatta University of Agriculture and Technology.
Dr. Anapapa has over 20 years’ experience in lecturing at university and tertiary level having previously worked at Jomo Kenyatta University of Agriculture and Technology, Government Training Institute and University of Eldoret. He has also worked as Data Manager with Kenya Medical Research Institute and as a Biometrician with Kenya Medical Research Institute.
His area of specialization is in biostatistics, statistical computing, design of experiments and statistical modelling.
Dr. Anapapa has successfully supervised 1 PhD student and 7 MSc students. He has published over 20 articles in peer-reviewed journals as well as presented in a number of scholarly conferences.
Date: Friday 25th November 2022
Time: 2:30pm-4:00pm CET
Duration: 90 minutes
Speaker 1: Prof. John M. Mutiso
Speaker 2: Dr. Ayubu Anapapa Okango
Penalist/Co-organizer: Timothy A. Ogunleye (email@example.com)
Penalist/Co-organizer: Dr Anthony Ekpo (firstname.lastname@example.org)
JDSSV – Sixth issue of 2022
Title: Sixth issue in current volume of Journal of Data Science, Statistics and Visualization
Summary: JDSSV has published its sixth issue of the second volume. JDSSV is completely open access. The papers can be accessed at
Journal of Data Science, Statistics, and Visualization (JDSSV) has recently published its sixth issue of 2022. 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.
• The International Association for Statistical Computing (IASC, owner)
• International Statistical Institute (ISI)
• 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)
• Jan de Leeuw (UCLA, USA)
• David Hand (Imperial College, UK)
• Trevor Hastie (Stanford University, USA)
• Peter Rousseeuw (KU Leuven, Belgium)
JDSSV – Second announcement for the special issue on Statistical learning, Visual Analysis and Beyond
Title: JDSSV special issue on Statistical learning, Visual Analysis and Beyond: Call for papers
Summary: JDSSV launches a special issue on Statistical learning, visual analysis and beyond. Submission deadline is 1 December 2022.
Call for Papers for JDSSV Special Issue on Statistical Learning, Visual Analytics, and Beyond
Statistical learning and visual analytics are increasingly important topics in the era of big data and artificial intelligence. With the rapid development of information technologies, modern statistical models and visualization tools are necessary for prediction and inference.
Following the successful DSSV conference in Tainan, June 27-29, 2022, the Journal of Data Science, Statistics and Visualization launches a special issue on Statistical Learning, Visual Analytics, and Beyond with guest editors
– Ray-Bing Chen (Department of Statistics, National Cheng Kung University)
– Ying Chen (Department of Mathematics, National University of Singapore)
– Anne Ruiz-Gazen (Toulouse School of Economics, University Toulouse 1 Capitole)
Papers should be aimed at a broad scientific audience. They can cover machine learning and statistical learning, visualization and verbalization of data, big data infrastructure and analytics, interactive learning, advanced computing, and other important topics. We welcome novel contributions from all aspects of research, including theoretical and practical modeling, learning, and/or visualization of data, providing insights into the development and application of the field. Papers that provide a comprehensive review and comparison of existing approaches and have the potential to provide new insights are also welcome.
Submissions to this special issue should be done at jdssv.org following the standard requirements of the journal and by selecting “Special Issue on Statistical Learning, Visual Analytics, and Beyond.” Submissions will follow the standard JDSSV peer review process. The deadline for submission is December 1, 2022.
We offer dual submissions, that is, papers that do not fit into the Special Issue will automatically be transferred to the regular submission channel unless the author specifies to submit only to the Special Issue. Papers will enter the review process immediately upon receipt (i.e., guest editors will not wait until the end of the submission window to start the review process). We intend to publish all accepted papers as a single special issue in 2023 after finalization of the review process.