Workshop for Women in Machine Learning

机器学习女性研讨会

• 批准号: 1833154
• 负责人: Tamara Broderick
• 金额: $ 5万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-11-01 至 2020-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1833154&HistoricalAwards=false
• 关键词: Workshop; Women; Machine; Learning

Since 2006, the annual workshop for Women in Machine Learning (WiML) has brought together women researchers of all levels, from industry and academia, to exchange research ideas and build mentoring and networking relationships. The one-day workshop has been especially beneficial for junior graduate students, giving them a supportive environment in which to present their research (in many cases, for the first time) and enabling them to meet peers and more senior researchers. Networking opportunities have helped senior graduate students and postdoctoral fellows find jobs following graduation. Indirectly, by retaining women in the field, WiML assists in the development of research products by women. Women continue to be underrepresented in the machine learning community. The ability to meet and interact with other women (role models and colleagues) in a technical environment allows women to build confidence in sharing their work; it is the most often cited benefit of the workshop. The workshop achieves these goals via events including the following. (1) Invited talks by established researchers. Technical talks by researchers from academia and industry share core machine learning research as well as serve as role models. (2) Contributed talks and posters by students provide opportunities for graduate students to showcase their own research and raise the presenters' visibility among their peers. (3) Research and career advice roundtable discussions. WiML matches senior researchers with junior researchers in small discussion and mentoring groups. The support from senior women, many of whom were previous attendees, speaks to how WiML is creating a lasting community where women help retain women in the field. WiML is primarily a technical event. Attendees have substantive technical discussions with other attendees, and many attendees go on to stay in contact with colleagues they meet at WiML as research collaborators. WiML has an established pipeline of senior women who continue to return to the workshop each year to encourage and mentor younger researchers. WiML has also helped with publicity and coordination when other organizations wanted to host events for women, such as lunches at conferences or more local events. The WiML Board has released a public directory of women in machine learning (with over 1,300 entries) to assist event organizers in finding female speakers and panelists. Thus, in addition to the workshop, WiML is becoming the de facto source for connecting and finding women in machine learning.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

自2006年以来，机器学习中的女性（WiML）年度研讨会汇集了来自工业界和学术界的各级女性研究人员，交流研究思想，建立指导和网络关系。 为期一天的研讨会对低年级研究生特别有益，为他们提供了一个支持性的环境，使他们能够展示自己的研究（在许多情况下，是第一次），并使他们能够与同行和更资深的研究人员见面。社交机会帮助高年级研究生和博士后研究员在毕业后找到工作。 通过留住该领域的女性，WiML间接地帮助女性开发研究产品。女性在机器学习领域的代表性仍然不足。在技术环境中与其他妇女（榜样和同事）见面和互动的能力使妇女能够建立分担工作的信心;这是讲习班最常提到的好处。 研讨会通过以下活动实现这些目标。(1)邀请知名研究人员参加讲座。来自学术界和工业界的研究人员的技术讲座分享了核心机器学习研究，并作为榜样。(2)由学生贡献的演讲和海报为研究生提供了展示自己研究的机会，并提高了演讲者在同龄人中的知名度。(3)研究和职业咨询圆桌讨论。WiML在小型讨论和指导小组中将高级研究人员与初级研究人员相匹配。来自高级女性的支持，其中许多人是以前的与会者，说明了WiML如何创建一个持久的社区，女性帮助留住该领域的女性。WiML主要是一个技术事件。与会者与其他与会者进行了实质性的技术讨论，许多与会者继续与他们在WiML遇到的作为研究合作者的同事保持联系。WiML有一个由资深女性组成的既定渠道，她们每年都会继续回到研讨会，鼓励和指导年轻的研究人员。 当其他组织想要为女性举办活动时，WiML也帮助进行宣传和协调，例如在会议或更多的本地活动中举办午餐会。 WiML董事会发布了一个机器学习领域女性的公共目录（有1,300多个条目），以帮助活动组织者寻找女性演讲者和小组成员。 因此，除了研讨会，WiML正在成为连接和寻找机器学习领域女性的事实来源。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响力审查标准进行评估，被认为值得支持。