IASC News June 2022

Webinar organized by the IASC African Members Group

Title: Webinar of the IASC African Members Group
Summary: The IASC African Members Group organizes a 90-minutes webinar on statistical computing using emergency nutrition assessment (ENA for SMART) software: Smart methodology, on Friday 24th June 2022.
Registration via the link: https://register.gotowebinar.com/register/7643103770860728843

In this webinar, we shall give an over view of a cross-sectional survey using a cluster sampling technique. Thereafter, an insight into the use of ENA for SMART software (updated version 2020) as deployed in a Nutrition and Retrospective Mortality survey would be presented as a standard, simplified, cross-sectional field survey method designed to aid the collection of quality, up-to-date and timely nutrition data; and necessary for decision-making. This methodology will harmonize methods for nutrition assessments, especially during emergencies and it is important that Statisticians who are interested in their in-country National Health Statistical System, can begin to partner with National and International Non-governmental Organizations (N & INGOs) and United Nations (UN) agencies to expand the use of the SMART methodology, in conducting nutrition surveys, both in emergency and development contexts.

During the webinar, the interest and curiosity of Statisticians and other participants toward strengthening the Nutrition Information System (NIS) in their countries, including conducting nutrition surveys on a more regular basis would be awakened; and in the long run, it would help to address the current shortage of qualified SMART survey manager and Master trainers globally who are Statisticians. This first series of our webinar, would dwell (to a reasonable extent) on pre-viewing the software ENA for SMART (updated version 2020), the usefulness of Anthropometric measures, Confidence Intervals and Z-score in the survey. We shall also briefly give an over view of acute malnutrition, checklist for conducting the nutrition survey and practical instances where we have conducted the survey.

Date:Friday 24th, June 2022.
Time: 2:30pm-4:00pm CET
Duration: 90 minutes


Speaker 1: Dr. Jonathan A. Ikughur (Assoc. Professor of Statistics)(atsua2004@yahoo.com)

Dr. Jonathan is an erudite Statistician with expertise in Sample Survey Theory and Methods; and Statistical Inference. He holds a Doctorate Degree in Statistics at the University of Ibadan , Nigeria with specialization in Sample Survey/Statistical Inference. Dr. Ikughur, who is also an Associate Professor of Statistics have served as a consultant to Local and International NGO’s. Notable among them are: Niger State Government Ecological Survey, Save the Children International (SCI), Première Urgence Internationale (PUI), Research Triangle International (RTI) and presently, a FUAM-LISA Co-investigator for a University of Colorado Boulder, USA/USAID funded PHL survey. He is an alumnus of the International Statistical Education Centre of the Indian Statistical Institute, Kolkata, India. He is currently the Head of Department, Statistics at the Federal University of Agriculture, Makurdi, Nigeria. He is a member of the Nigeria Statistical Association (NSA), Advanced Survey Research Centre, (ASRC) Kolkata, India, Nigerian Mathematical Society (NMS) and the European Centre for Research Training and Development (ECRTD) UK. He is happily married with children.

Speaker 2. Dr. Anthony Ekpo (ekpo.anthony@uam.edu.ng)

Dr. Anthony is a post-doctorate Statistician; his area of specialty is Optimal Experimental Designs and Biostatistics. He is an active member of the Global Nutrition Cluster (GNC)-Technical Alliance Consultants, coordinated by UNICEF and Action Against Hunger (AAH), Canada. He possess remarkable field experiences; having consulted for reputable International Organizations such as: International Union for the Conservation of Nature (IUCN), Medecins Sans Frontieres (MSF), Research Triangle International (RTI), INTERSOS Humanitarian Aids Organization, Save the Children International (SCI), Première Urgence Internationale (PUI), Center for Clinical Care and Clinical Research Nigeria (CCCRN), Maestral International LLC, Minneapolis, Minnesota, USA and presently, a FUAM-LISA Co-investigator for a University of Colorado Boulder, USA/USAID funded PHL survey. Dr. Ekpo has over 10 years’ experience conducting Nutrition/Mortality surveys using the SMART Methodology. He is a member of the Nigerian Statistical Association (NSA), Professional Statisticians Society of Nigeria (PSSN), a Regular member of the International Statistical Institute (ISI) and an arm member of the International Association of Statistical Computing (IASC). He is the Treasurer and North-Central Nigeria Coordinator of IASC-African Members’ Group. Presently, he is a member of faculty in the department of Statistics, Federal University of Agriculture, Makurdi, Nigeria. He is happily married with children

Penalist/Co-organizer: Dr Adenomon Monday (adenomonmo@nsuk.edu.ng)

Penalist/Co-organizer: Timothy A. Ogunleye (thompsondx@gmail.com)

Participant can register using the link


Third issue in current volume of Journal of Data Science, Statistics, and Visualization

Title: Third issue in current volume of Journal of Data Science, Statistics, and Visualization
Summary: JDSSV has published its third issue of the second volume. JDSSV is completely open access. Papers can be accessed at https://jdssv.org/index.php/jdssv/issue/archive


June and July Seminars – Data Science Year at the UDP 2022

Title: Data Science Year (DSY) UDP 2022
Summary: Two new seminars will be held in June and July. The focus will be on data science applications in astronomy, and the role of data science in detecting anomalies (visual, aural, and olfactory). Registrations and more information at https://www.udp.cl/seminarios-data-science-year/

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: Statistical and Machine Learning Approaches to Solar Flare Forecasting

• Speaker: Prof. Yang Chen, University of Michigan, Ann Arbor, USA
• Date: Wednesday June 29, 2022, at 11.30 Chilean time
• Registrations at https://forms.gle/EepBBFL9KJdyUKoV7

• Abstract. Solar flare prediction is an important task, which impacts national power grid robustness, satellite signal stability, and safety of astronauts’ exploration of space. In recent years, the solar flare prediction problem has caught more attention among the machine learning and statistics community. In this talk, I will give an introduction on our efforts on solar flare forecasting with existing and innovative machine learning and statistical models. We obtain highly competitive results for flare forecasting with highly interpretable models, which contributes both to operational use and the science itself.

• Yang Chen received her Ph.D. (2017) in Statistics from Harvard University and joined the University of Michigan as an Assistant Professor of Statistics and Research Assistant Professor at the Michigan Institute of Data Science (MIDAS). She received her B.A. in Mathematics and Applied Mathematics from the University of Science and Technology of China. Research interests include computational algorithms in statistical inference and applied statistics in the field of biology and astronomy.

Seminar: Signal and Noise – Hotspots Jump Out of the Norm

• Speaker: Eunice Kim, Data Scientist at Microsoft, USA
• Date: Wednesday, July 13, 2022, at 11.30 am Chilean time
• Registrations at https://forms.gle/m5tfPxDUsGg8LEvT6

• Abstract. Humans easily detect something that is out of the ordinary. That presupposes that we establish a norm, have some measurements and/or a detectable (visual, aural, or olfactory) aid to understand what we experience and observe. How do statistics and data science come into play when there is a need to detect anomalies and provide a response to the anomalies? What are the conditions given? How do we set up the problem when we have little knowledge of the domain? I draw examples from my work and share what I have found to be necessary for analysis and collaboration.

• Eunice Kim is a data scientist with Microsoft. She has a passion for teaching and solving complex problems with an investigative, statistical lens. Previously, she taught undergraduate students in engineering at Iowa State University and liberal arts majors at Amherst College. Besides teaching introductory statistics courses and research methods, she recalls the challenge and joy of introducing spatial statistics to undergraduates. Her research application is in the environmental and economic context where she brings her specialty in spatial statistics to draw out patterns. She has a Bachelor’s Degree in Mathematics and Economics, and Master’s and PhD in Statistics. She volunteers on the new client acquisition team of Statistics Without Borders and serves as chair of the Committee on Women in Statistics of the American Statistical Association.

Please, mark your calendars and extend this invitation to all students. The seminars will be held virtually using the platform Zoom. Further information at https://www.udp.cl/seminarios-data-science-year/

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.


The 24th International Conference on Computational Statistics (COMPSTAT 2022)

Title: The 24th International Conference on Computational Statistics (COMPSTAT 2022)
Summary: The 24th International Conference on Computational Statistics (COMPSTAT 2022) will take place in University of Bologna, Italy, 23-26 August 2022. It is organized in a hybrid format. For further details please see http://www.compstat2022.org.

The 24th International Conference on Computational Statistics 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.

Due to the COVID-19 pandemic, the conference will be hybrid:

– Session organizers will choose either the in-person, the hybrid or the virtual option.
– Invited speakers should coordinate their presentation mode with the session organizers.
– Contributed speakers can choose the option of in-person or virtual presentation.
– Session organizers and contributed speakers will be able to change their contribution mode until the 10th of June 2022. After that date, any change is subject to availability.
– All the keynote talks, the special invited sessions, the hybrid organized sessions, and the virtual sessions will be live-streamed on Zoom for all the conference participants.
– The Poster Sessions will be virtual.
– All the participants can attend the conference in person, even if they choose a virtual oral presentation or a poster.

For further details please see http://www.compstat2022.org