[Artificial Intelligence and Statistics Logo] Artificial Intelligence and Statistics 2022

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Community Activities

The AISTATS 2022 organizing committee is pleased to announce several community activities for conference attendees to meet, socialize, and learn from each other. For links to join each event, please check the virtual site.

Affinity Groups Speed Networking Social

Monday, March 28th, 07:00-8:30 UTC

This session welcomes everyone in the AISTATS community who identifies with one or more affinity groups or as an ally. The event will be in the form of speed networking, where you will meet fellow participants in short 1:1 sessions. Share your experiences, opportunities and challenges with others. At the end of the event, maybe you will find a mentor, mentee, peer or even a collaborator? The event is hosted by Miriam Rateike (Max-Planck-Institute for Intelligent Systems, Tübingen & University of Saarland) and Deborah Dormah Kanubala (University of Saarland). Please contact aistats2022+socials@gmail.com if you have any questions.

Affinity Group Supported Pathways to ML Research Panel and Social

Tuesday, March 29th, 12:30-14:00 UTC

Ezinne Nwankwo (UC Berkeley), Sanae Lofti (New York University), Maria Skoularidou (University of Cambridge), and Johan Obando Cerón (Mila, University of Montreal) will discuss their career paths and how their respective affinity groups helped them along their journey in a panel moderated by Pablo Samuel Castro (Google Brain). The panel is followed by an open social for AISTATS attendees hosted by Sarah Tan (Meta). Please contact aistats2022+socials@gmail.com if you have any questions.

Agenda (all times are UTC)

12:30-13:15
(livestream)
Affinity Group Supported Pathways to ML Research Panel
Panelists: Ezinne Nwankwo (UC Berkeley), Sanae Lofti (New York University), Maria Skoularidou (University of Cambridge), Johan Obando Cerón (Mila, University of Montreal)
Moderator: Pablo Samuel Castro (Google Brain)
13:15-14:00
(no livestream)
Open Social

WiML-CWS Social

Tuesday, March 29th, 18:00-19:00 UTC

Women in Machine Learning (WiML) and the Caucus for Women in Statistics (CWS) welcome AISTATS attendees to this social event. The event will start with icebreakers to encourage networking among participants. In the main part of the event there will be a Q&A with WiML sponsors, WiML board members and CWS board members in an open format: participants are encouraged to come with questions on various topics ranging from career advice or time-management to conducting research. The event is hosted by Tatjana Chavdarova (UC Berkeley), Christina Papadimitriou (Palo Alto Networks), and Jessica Kohlschmidt (Ohio State University Comprehensive Cancer Center). Please see https://wimlworkshop.org/?page_id=8 for more details and contact workshop@wimlworkshop.org if you have any questions.

This site last compiled Tue, 03 May 2022 15:44:34 +0200
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