论文标题
COVID-19期间的召集:2020年从组织虚拟研讨会中学到的教训
Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020
论文作者
论文摘要
该报告是关于作者在ICML 2020举行的WIML“ UN-WORKSHOP”活动的组织者的经历的描述。未工作的商店重点介绍了参与者驱动的结构性讨论,讨论了预先选择的主题。为了清楚起见,此事件与通常与Neurips共同置于的“ WIML研讨会”不同。在此手稿中,组织者分享他们的经验,希望它将帮助未来的组织者在类似条件下举办成功的虚拟活动。机器学习中的女性(WIML)的使命是在机器学习从事机器学习工作的小妇女社区中建立联系,以鼓励指导,网络和交流思想,并增加妇女在社区中的影响。
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.