Affinity Event

WiML and Caucus for Women in Statistics

Tatjana Chavdarova · Sarah Tan · Jessica Kohlschmidt

Abstract:

WiML and the Caucus for Women in Statistics (CWS) are excited to announce a joint event at AISTATS 2021. The event has two components: community-driven mentoring, and a panel. The event will be held on the Icebreaker.video platform on Tuesday, April 13, 2021, 12.30pm – 2pm PT.

WiML Homepage
Caucus for Women in Statistics Homepage

Joining Instructions



How to join: Join the Icebreaker event Event limited to 200 participants. You’ll be asked to sign in to Google, and give Icebreaker permission to access your camera and microphone. Google Chrome browser recommended.

Participant instructions: Whether you will participate as a mentor or mentee, we suggest preparing one or two lines to describe your work and research, as well as any other topics you may want to discuss. During the panel, you can type questions for the panelists in Icebreaker chat, so bring any questions on reviewing and publishing! See below for more information on Icebreaker.

Questions? Email workshop@wimlworkshop.org or cws@cwstat.org. Note that this is a separate event from the AISTATS mentoring sessions. By joining the event, you agree to abide by the AISTATS Code of Conduct and WiML Code of Conduct.

Schedule
Tue 12:30 p.m. - 12:45 p.m.

It means anyone can be a mentor on a topic of their expertise! Upon entering the Icebreaker link, you will be asked to indicate if you want to be a mentor or mentee. The Icebreaker platform will distribute mentors among groups as much as possible. There will be a series of mentoring sessions, both 1:1s and in small groups. Read more about the mentoring prompts below.

Who can mentor? Mentoring topics will range from general life-work balance to general research questions, thus we encourage a larger number of participants, ranging from mid-PhD to senior levels, to participate as mentors. Mentors can be of any gender.

Tue 12:45 p.m. - 1:10 p.m.

It means anyone can be a mentor on a topic of their expertise! Upon entering the Icebreaker link, you will be asked to indicate if you want to be a mentor or mentee. The Icebreaker platform will distribute mentors among groups as much as possible. There will be a series of mentoring sessions, both 1:1s and in small groups. Read more about the mentoring prompts below.

Who can mentor? Mentoring topics will range from general life-work balance to general research questions, thus we encourage a larger number of participants, ranging from mid-PhD to senior levels, to participate as mentors. Mentors can be of any gender.

Tue 1:10 p.m. - 1:45 p.m.

The panel, moderated by Sinead Williamson (University of Texas at Austin) with panelists Bin Yu (UC Berkeley), Tomi Mori (St. Jude Children’s Research Hospital), Po-Ling Loh (University of Cambridge), Jessica Kohlschmidt (Ohio State University), is on the topic of “Reviewing and Publishing”. The rapid growth of the machine learning and statistics community has made the reviewing process of peer-reviewed conferences more challenging. Besides sharing their experiences, panelists will discuss publishing venues in ML and Statistics, as well as take questions from the audience. Read more about the panelists below.

Bin Yu · Tomi Mori · Po-Ling Loh · Jessica Kohlschmidt · Sinead Williamson
Tue 1:45 p.m. - 2:00 p.m.
Small group debrief on panel (Panel)