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Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020

2020/11/28 by Mandana Samiei, Caroline Weis, Samiei, Mandana +7
Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Online Learning and Analytics #cs.CY #cs.LG

paper · pdf · doi:10.48550/arxiv.2012.01191

12 pages

arxiv created 2020/11/28 · openalex publication_date 2020/11/28 · arxiv updated 2020/12/03 · openalex created_date 2020/12/07 · openalex updated_date 2026/07/28

Abstract

This report is an account of the authors' experiences as organizers of WiML's "Un-Workshop" event at ICML 2020. Un-workshops focus on participant-driven structured discussions on a pre-selected topic. For clarity, this event was different from the "WiML Workshop", which is usually co-located with NeurIPS. In this manuscript, organizers, share their experiences with the hope that it will help future organizers to host a successful virtual event under similar conditions. Women in Machine Learning (WiML)'s mission is creating connections within a small community of women working in machine learning, in order to encourage mentorship, networking, and interchange of ideas and increase the impact of women in the community.

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