Schedule at a Glance

The Women in Statistics and Data Science Conference program offers short courses, concurrent sessions, speed sessions, an exhibit hall, and many opportunities to network. Below is an overview of the conference schedule. Be sure to check back often as more information becomes available.

All times are EDT.

Wednesday, September 30

1:00 p.m. – 3:00 p.m.   Short Course - Half-Day Course 1 Ticketed event
1:00 p.m. – 4:30 p.m.   Short Course - Half-Day Course 2 Ticketed event

Thursday, October 1

Available all day   Exhibits Open
Available all day   Speed/E-Posters
Available all day   Career Mentoring
10:00 a.m. – 11:15 a.m.   Opening Remarks and Plenary Presentation 1
11:00 a.m. – 1:00 p.m.   E-Poster Q&A
11:30 a.m. – 12:45 p.m.   Concurrent Sessions
12:45 p.m. – 1:15 p.m.   Break
1:00 p.m. – 3:00 p.m.   E-Poster Q&A
1:15 p.m. – 2:30 p.m.   Concurrent Sessions
2:45 p.m. – 4:00 p.m.   Concurrent Sessions
4:15 p.m. – 5:30 p.m.   Plenary Presentation 2
5:35 p.m. – 6:30 p.m.   Opening Mixer – Virtual Networking Event

Friday, October 2

Available all day   Exhibits Open
Available all day   Speed/E-Posters
Available all day   Career Mentoring
10:00 a.m. – 11:30 a.m.   Plenary Session 3
10:00 a.m. – 12:00 p.m.   E-Poster Q&A
11:45 a.m. – 1:00 p.m.   Concurrent Sessions
1:00 p.m. – 1:30 p.m.   Break
1:30 p.m. – 3:30 p.m.   E-Poster Q&A
1:45 p.m. – 3:00 p.m.   Concurrent Sessions
3:00 p.m. – 3:30 p.m.   Break
3:35 p.m. – 4:20 p.m.   Concurrent Sessions
4:30 p.m. – 5:30 p.m.   Celebrating Women in Statistics and Data Science Virtual Happy Hour

Times are tentative and subject to change.

Ticketed event Denotes a ticketed event that requires an additional fee

Key Dates

  • February 13, 2020 – May 21, 2020
    Concurrent, Panel, and Speed Submission
  • July 1, 2020
    Early Registration Opens
  • July 24, 2020
    Speaker Registration Deadline
  • August 20, 2020
    Early Registration Deadline
  • August 21, 2020
    Regular Registration (increased fees apply)
  • September 30, 2020 – October 2, 2020
    Virtual WSDS2020