Co-sponsored meetings

ICSA supports professional meetings through co-sponsorship.
ICSA does not offer financial support for co-sponsored meetings or receive income from co-sponsored meetings.


  • Approval of the ICSA sub-committee consisting of three ICSA presidents (past, current and elect), Executive Director, and Chair of the Program Committee.
  • There should be ICSA participation on Program Committee.
  • ICSA members should be able to present invited/contributed papers or posters.
  • ICSA members may receive discount registration fees.


  • The ICSA Bulletin (published twice per year, in January and July) will publish general information about the meeting, including the call for papers, and a brief program consisting of the invited sessions. (It is the responsibility of the organizers to provide the necessary information to the Bulletin in a timely fashion.)
  • Meeting announcements are eligible for inclusion in the ICSA Newsletter (published every two-months).
  • Meeting information will be made available on the ICSA web site.


To apply for ICSA Co-sponsorship or Sponsorship, please fill and submit ICSA Meeting Co-sponsorship Application Form to the ICSA Executive Director via email.

The 3rd Pacific Rim Statistics Conference for Production Engineering

The Pacific Rim area is one of the key manufacturing sites in the world and application of statistical thinking and methods for production engineering has never been more important than with Big Data. Following the success of the first two conferences held at Shanghai Center for Mathematical Sciences in 2014 and Seoul National University in 2016, the 3rd Pacific Rim Statistical Conference for Production Engineering (SCPE 2018) will be held at National Tsing Hua University in Hsinchu, Taiwan.

The 1st Midwest Statistical Machine Learning Colloquium

The purpose of the meeting is to bring together a diverse set of researchers and practitioners to discuss current motivating problems and methodological advances in theory-based machine learning. Reduced price registration is offered for students and all poster-presenters. Grants supported by Principal Financial and professional societies are available to partially cover expenses for student and young investigator poster-presenters from outside ISU.

BASS (Biopharmaceutical Applied Statistics Symposium) XXV

BASS provides 2.5 days of 1-hour tutorials (including Q&A) on topics in applied biopharmaceutical statistics, with a contributed poster session, followed by short courses, generally 2 course of 2 days length on topics in applied statistics. This format allows speakers to develop a subject in some depth. The moderate size of the symposium (50-70 attendees) and informal structure allows for the attendees to interact effectively with the speakers. BASS attendees are provided a flash drive with all of the presentations.

2018 Joint Research Conference on Statistics in Quality, Industry, and Technology

The 2018 Joint Research Conference on Statistics in Quality, Industry and Technology is a joint meeting

of the 25th Spring Research Conference on Statistics in Industry and Technology and the 35th Quality and

Productivity Research Conference.


The goal of this conference is to stimulate interdisciplinary research and innovative solutions to practical

problems though interactions among statisticians, quality professionals, engineers, and scientists from

Advances in Finite Mixture and Other Non-regular Models

Finite mixture models are widely used in scientific investigations. In one of the earliest examples, Karl Pearson fitted a two-component normal mixture model to 1000 measurements of crabs, indicating the existence of two species in the population. In general, mixture models are used to model scenarios in which certain variables are measured but a categorical variable is missing. For example, the patient population may be divided into several subpopulations according to their genetic make-up, but the make-up is yet to be determined.

SAE2018: Small Area Estimation and Other Topics of Current Interest in Surveys, Official Statistics, and General Statistics

Program Committee: William Bell, U.S. Census Bureau, USA,

Jay Breidt, Colorado State University, USA,

Denise Britz do Nascimento Silva, Brasil,

Jiahua Chen, University of British Columbia, Canada,


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