Date(s) - 16/07/2023 - 20/07/2023
Title: Pre-announcement of the Invited Paper Session Proposals for the 64th ISI WSC 2023
Summary: The opening of the submission process is planned for March. Details will be announced on the congress website https://www.isi2023.org/
The Chair of the Scientific Programme Committee (SPC), Mark Podolskij, invites the statistical community to prepare proposals for the Invited Paper Sessions (IPS) programme.
Each proposal should include a brief description and justification for the proposed session and a list of presenters and discussants who have agreed to participate. The selection criteria will take into account scientific quality, impact, and overall diversity.
- The programme is of high quality, with sessions that emphasize innovative ideas, approaches and/or applications to problems of importance;
- The sessions have a balance of Organisers / Presenters / Discussants from around the world;
- The contents are clearly of interest; and
- The congress has a diversity of participants with respect to age, gender and statistical interests.
Read the full announcement on the WSC 2023 website, as well as the Guidelines for Session Organisers, Chairs, Presenters and Discussants for more details. General enquiries about the Scientific Programme should be directed to email@example.com.
The 64th WSC 2023, to be held 16–20 July in Ottawa, Canada, will highlight the developments and contributions of statistics, statistical science, and data science in all aspects of life, particularly the well-being and welfare of people. The WSC 2023 will host talks and presentations on a wide variety of topics, with the overall goal of presenting a balanced programme that provides a sense of the current state and future direction of statistics and their applications.
The programme will span the full field of statistics including academia, business, industry, government and official statistics in line with the breadth of ISI and the Associations affiliated with ISI. Topics include but are not limited to official statistics, survey statistics, environmental statistics, business and industrial applications of statistics, mathematical statistics, probability, statistics and data science, statistics education, statistical literacy, statistical computing and data visualization.