DEC 13-16, 2020

ICSA 2020
Applied Statistics Symposium
Moved to Virtual

The Symposium virtual access links are now available here

KEY DATES

Deadline: November 31, 2020.

Deadline: October 31, 2020.

Deadline: October 31, 2020.  

Deadline: October 31, 2020.

Deadline: October 15, 2020. 

Deadline: October 15, 2020. 

Deadline: February 15, 2020.

Deadline: November 30, 2019. 

Deadline: December 15, 2019. 

Due to the potential continuation of COVID-19 epidemic in the US in this fall and winter, the Organizing Committee has decided to move our conference (December 13-16, Sunday-Wednesday, 2020) online. The new key dates have been set up as follows:

  • Early-bird registration deadline: October 31, 2020
    • New discounted registration fee for early bird: Before or on October 31, 2020
      • $20 for students
      • $100 for ICSA members
      • $130 for non-ICSA members
    • Registration fee after October 31, 2020
      • $40 for students
      • $150 for ICSA members
      • $180 for non-ICSA members 
  • Deadline for the invited talk abstract submission: October 15, 2020
  • Deadline for poster abstract submission and poster award: October 31, 2020
  • Online short course early bird registration deadline: October 31, 2020
  • Refund request deadline: October 31, 2020

All the conference activities and events (including Monday night mixer/live poster session and Tuesday night award ceremony) will be scheduled as virtual events.

For those who have registered, we will refund the difference of the event fees upon request. You need to submit your refund request to refundrequest@icsa.org by October 31, 2020. If you have any questions or concerns, please also send an email to symposium2020@icsa.org

OVERVIEW

The 2020 ICSA Applied Statistics Symposium will be held from Sunday, Dec 13th to Wednesday, Dec 16th, 2020 online. This will be the 29th annual symposium for the International Chinese Statistical Association (ICSA). The theme of this conference is Advancing Statistics for Data Intelligence. We hope that this meeting will attract statisticians working in academia, government, and industry; domestic and international statisticians. The 2020 symposium will offer short courses, invited sessions and poster presentations, as well as opportunities for networking and recruiting. We will strive to provide a unique virtual conference experience to all our attendees by closely working with our virtual conference software provider (Cvent).

KEYNOTE AND BANQUET SPEAKERS

Keynote Speaker
Xihong Lin , PhD
Professor, Harvard University
ABSTRACT

Keynote Speaker
Michael I. Jordan , PhD
Professor, University of California, Berkeley
ABSTRACT

Keynote Speaker
Josh Chen , PhD
Head, Global Biostatistical Sciences, Sanofi Pasteur
ABSTRACT

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