IASC News August 2022
Upcoming IASC General Assembly (GA)
Title: Upcoming IASC General Assembly (GA)
Summary: The IASC General Assembly will take place on 7 October, 2022. All IASC members are invited to participate. A draft agenda is available now.
IASC General Assembly
Friday, October 7, 2022
15:00 – 17:00 CEST (e.g., Berlin, Germany)
[6:00-8:00 Pacific Time (e.g., Los Angeles), 9:00-11:00 Eastern Time (e.g., New York), and 22:00-0:00 JST (e.g., Tokyo)]
Virtual Meeting using GoToMeeting
Please join the meeting from your computer, tablet or smartphone. Further details will be provided via e-mail in early October.
Draft Agenda (as of August 4, 2022)
2. Approval of the Agenda
3. IASC Activity Report
b. Treasurer’s Report
c. Membership Report
g. African Members Group
h. WSC 2023
i. DSSV 2022 Conference & Outlook on DSSV 2023 Conference
k. Vote on the approval of the annual report (including finances)
Additional agenda items or questions can be e-mailed to the IASC President, Christophe Croux (email@example.com), or the IASC Scientific Secretary, Gentiane Haesbroeck (firstname.lastname@example.org), until 72 hours before the GA, i.e., until Tuesday, October 4, 2022, 15:00 CEST. Further questions can be asked directly during the GA. All IASC members are invited to attend the GA.
The (closed) IASC Executive Committee (EC) meeting will take place on Monday, October 3, 2022, 15:00-17:00 CEST. This meeting is only open for current and newly elected IASC EC members.
New ISI-Elected Members from IASC
Title: New ISI-Elected Members from IASC
Summary: The IASC-ISI Nomination Committee congratulates two new ISI elected members from IASC as a result of the second ISI election round in 2022: Adenomon Monday Osagie (Nigeria) and Angelo M Mineo (Italy).
IASC European Regional Section new chairperson elect and BoD members
Title: IASC European Regional Section new chairperson elect and BoD members
Summary: We are happy to welcome Ana Belén Ramos Guajardo (Spain) as the chairperson elect for IASC-ERS starting her term in August 2022. We also welcome Andreas Artemiou (UK), Enea Bongiorno (Italy), Frédéric Ferraty (France), Erricos Kontoghiorghes (Cyprus), Bojana Miloševic (Serbia) as new members of the Board of Directors for the period 2022-2026.
Webinar organized by the IASC African Members Group (August 2022)
Title: Webinar on Multivariate Analysis and Techniques using STATA
Summary: IASC African Members Group presents a 90 minutes Webinar on 26th August, 2022.
Abstract/Objective of the Webinar:
The webinar among other objectives will introduce the participants to Multivariate Analysis and some of the multivariate techniques. The Webinar will avail the participants:
1. The definition and understanding of types of Multivariate Normal Distributions and its associated marginal and conditional distributions.
2. Some Multivariate Analysis Techniques that will be discussed and demonstrated with practical examples include:
(i) Linear modelling (Simple, Multiple and Multivariate Linear Regressions);
(ii) Principal Component Analysis;
(iii) Multivariate Analysis of Variance (MANOVA); and
(iiii) Discriminant and Classification Analysis.
Requirements for participants
1. Participants are expected to have undergraduate (300 – 400 Level) knowledge of Statistics, Mathematics or related disciplines
2. Computer System/Laptop with STATA Package installed
Speaker: Prof. Gafar Matanmi Oyeyemi
Prof Gafar Matanmi Oyeyemi had his higher education at University of Ilorin, where he obtained his bachelor’s degree in Statistics in 1998 with Second Class Upper Division. His passion for teaching and intellectual explorations propelled him to further his education at the same University and had his M.Sc. and later Ph.D Degrees in Statistics in 2003 and 2009 respectively.
Prof. Oyeyemi joined the services of University of Ilorin in the Department of Statistics, as a Graduate Assistant in 2001 and rose to his present status of Professor of Statistics in 2019. He has successfully supervised numerous B.Sc, M.Sc, M.phill and Ph.D. students and had many scholarly presentations and publications spanning local, national and international journal outlets. Prof. Oyeyemi specializes in Data Science, Multivariate Analysis and its Applications.
Prof. Oyeyemi has held several posts and served in various committees at Department, Faculty and University levels. He is currently the Head, Department of Statistics, University of Ilorin.
Prof Oyeyemi is a member of many Academic Societies such as Nigerian Statistical Association (NSA), Science Association of Nigeria (SAN), International Biometrics Society (IBS) and International Association of Statistical Computing (IASC) among others.
Date: Friday 26th August 2022
Time: 2:30pm-4:00pm CET (1:30pm-3:00pm WAT)
Duration: 90 minutes
Speaker: Prof. Gafar Matanmi Oyeyemi
Penalist/Co-organizer: Dr Adenomon Monday (email@example.com)
Penalist/Co-organizer: Timothy A. Ogunleye (firstname.lastname@example.org)
Penalist/Co-organizer: Dr Anthony Ekpo (email@example.com)
The 24th International Conference on Computational Statistics
(COMPSTAT 2022 – Bologna – 23-26 August 2022)
Title: The 24th International Conference on Computational Statistics (COMPSTAT 2022)
Summary: The 24th International Conference on Computational Statistics (COMPSTAT 2022) will take place at the University of Bologna, Italy, 23-26 August 2022. Tutorials will be given during the conference. The conference is sponsored by the European Regional Section of the IASC, and is hosted and organized by the Department of Statistical Sciences of the University of Bologna. For further details please see http://www.compstat2022.org.
September Webinar – Data Science Year at the UDP 2022
Title: Data Science Year (DSY) UDP 2022
Summary: September data science seminar focuses on a new method for deriving probabilistic high-resolution data sets specifically designed to characterize the climatological properties of extreme precipitation. Please, mark your calendars and extend this invitation to all students. Registrations and more information at https://ingenieriayciencias.udp.cl/2022/08/09/data-science-year-at-the-udp-2022-seminars-september-28/
The main objective of the DSY-UDP 2022 is to engage and to involve students, researchers, and practitioners in the data science arena by creating a space to learn and discuss multiple topics associated with this discipline and its applications. We have organized two new virtual seminars with prestigious exponents of the area. We invite you to join us!
Seminar: Detecting changes in extreme rainfall with attribution to anthropogenic emissions
• Speaker: Mark Risser, Research Scientist, Lawrence Berkeley National Lab, USA
• Date: Wednesday September 28, 2022, at 11.30 Chilean time
• Registrations at https://forms.gle/YHo9qPvtfNHeU5NP6
• Abstract. The gridding of daily accumulated precipitation–especially extremes–from ground-based station observations is problematic due to the fractal nature of precipitation, and therefore estimates of long period return values and their changes based on such gridded daily data sets are generally underestimated. To address this issue, we present a method for deriving “probabilistic” high-resolution data sets specifically designed to characterize the climatological properties of extreme precipitation by applying spatial statistical analyses to the extreme statistics of daily precipitation. Our methodology is appropriate for heterogeneous spatial domains and furthermore is scalable to an arbitrarily large network of weather stations. An important application of our approach is the detection of both natural and anthropogenically-induced changes in the climatology of extreme precipitation, for which we develop a robust statistical technique to identify significant pointwise changes while carefully controlling the rate of false positives. All uncertainty quantification is based on resampling methods, and we utilize supercomputing to quickly analyze, conduct inference, and detect seasonal changes in extremes for a network of approximately 5000 weather stations from the Global Historical Climatology Network over the contiguous United States. Human-induced greenhouse gas emissions generally result in larger and more frequent extreme events, although there are also important areas where the opposite is true.
• Mark Risser is a Research Scientist in the Climate Division at the Lawrence Berkeley National Laboratory. He received his Ph.D. in Statistics from the Ohio State University in 2015. His thesis advisor was Catherine Calder. His primary goal as a statistician is to use data science, Bayesian modeling, and computational tools to identify and quantify climate change. His primary research is in climate, spatial/environmental statistics, and Bayesian modeling, but he also has interests in extreme value analysis, multiple testing, computational methods, and data visualization.
Please, mark your calendars and extend this invitation to all students. The seminar will be held virtually using the platform Zoom. Further information at https://ingenieriayciencias.udp.cl/2022/08/09/data-science-year-at-the-udp-2022-seminars-september-28/
Local Organizing Committee: Alba Martinez-Ruiz, Paula Fariña, Raúl Pezoa-Zamorano, Francisco Jara-Moroni. Supporting institutions: International Association for Statistical Computing, International Statistical Institute, and Chilean Statistical Society.
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
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
VII Latin American Conference on Statistical Computing – LACSC 2023 – Peru (early announcement)
Title: VII Latin American Conference on Statistical Computing – LACSC 2023
Summary: EarIy announcement of LACSC 2023 – VII Latin American Conference on Statistical Computing, to be held in Peru from April 3 to April 5, 2023.
The Master of Statistics and the Graduate School of the Pontificia Universidad Católica del Perú (PUCP), and the sponsoring organizations, the Latin American Regional Section (LARS) of the International Association for Statistical Computing (IASC) and the International Statistical Institute (ISI) are proud to announce the VII Latin American Conference on Statistical Computing (LACSC 2023-Peru) to be offered from April 3 to April 5, 2023.
LACSC is the annual conference of the Latin American Regional Section of the International Association for Statistical Computing. The main purpose of this conference is to foster the progress of the theory, methods, and practice of statistical computing in Latin America. In 2023 we will offer the 7th edition of LACSC in Lima (Peru), giving continuity to the previous editions of 2022 in São Carlos (Brazil), 2021 in Mexico (Mexico), 2019 in Guayaquil (Ecuador), 2018 in San José (Costa Rica), 2017 in Valparaíso (Chile), and 2016 in Gramado (Brazil).
Organizing Committee of LACSC 2023 – Peru: Luis Valdivieso, Luis Benites, Zaida Quiroz, Giancarlo Sal y Rosas, Cristian Bayes.
Visit the Pontificia Universidad Católica del Perú (PUCP), you will love it!
Fourth issue in current volume of Journal of Data Science, Statistics, and Visualization
Title: Fourth issue in current volume of the Journal of Data Science, Statistics and Visualization
Summary: JDSSV has published its fourth issue of the second volume. JDSSV is completely open access. Papers can be accessed at https://jdssv.org/index.php/jdssv/issue/archive
Journal of Data Science, Statistics, and Visualization (JDSSV) has recently published its fourth 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)