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

• URL: http://arxiv.org/abs/2012.01191v1
• Date: Sat, 28 Nov 2020 02:15:24 GMT
• Title: Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020
• Authors: Mandana Samiei, Caroline Weis, Larissa Schiavo, Tatjana Chavdarova, Fariba Yousefi
• Abstract summary: 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.
• Score: 3.86574270083089
• License: http://creativecommons.org/licenses/by/4.0/
• 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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