Collaborative Research: Workshop for Women in Machine Learning

合作研究：机器学习领域女性研讨会

• 批准号: 1036868
• 负责人: Jennifer Vaughan
• 金额: $ 4.18万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1036868&HistoricalAwards=false
• 关键词: Collaborative; Research; Workshop; Women; Machine

Since 2006, the annual workshop for Women in Machine Learning (WiML) has brought together femaleresearchers in industry and academia, postdoctoral fellows, and graduate students from the machinelearning community to exchange research ideas and build mentoring and networking relationships. Theone-day workshop has been especially beneficial for junior graduate students, giving them a supportiveenvironment in which to present their research (in many cases, for the first time) and enabling them tomeet peers and more senior researchers in the field of machine learning. The networking opportunitiesprovided by the workshop have also helped senior graduate students find jobs following graduation.Intellectual Merit: This workshop will advance machine learning knowledge and foster collaborationwithin the machine learning community. As invited speakers, established researchers at top universitiesand research labs will teach workshop participants about cutting-edge ideas from diverse areas ofmachine learning. Students will present their own research and receive valuable feedback from bothsenior researchers and their peers. By enabling women at all stages of their careers in machine learning toexchange research ideas and form new relationships, we expect that new connections and researchcollaborations will be established, thereby advancing the state-of-the-art of the field.Broader Impact: This workshop will provide a forum for female graduate students, postdoctoral fellows,junior and senior faculty, and industry and government research scientists to exchange research ideas andestablish networking and mentoring relationships. Undergraduates, particularly those who are interestedin pursuing graduate school or industry positions in machine learning, are also welcome to attend.Bringing together women from different stages of their careers gives established researchers theopportunity to act as mentors, and enables junior women to find female role models working in the fieldof machine learning. The workshop will also benefit the wider machine learning community: Firstly, theWiML website, which lists all previous workshop presenters, serves as a useful resource for organizationslooking for female invited speakers. Secondly, co-locating with a major machine learning conferenceenhances the visibility of female researchers among the wider machine learning community. Thirdly,travel funding provided to workshop participants also facilitates their travel to the co-located conference,which for some participants would otherwise not be possible. Finally, all workshop materials (slides,abstracts, etc.) will be made available on the workshop website in order to ensure broad dissemination.

自2006年以来，一年一度的机器学习女性研讨会（Women in Machine Learning, WiML）将工业界和学术界的女性研究人员、博士后研究员和机器学习社区的研究生聚集在一起，交流研究想法，建立指导和网络关系。为期一天的研讨会对初级研究生特别有益，为他们提供了一个支持性的环境来展示他们的研究（在许多情况下，是第一次），并使他们能够结识机器学习领域的同行和更资深的研究人员。研讨会提供的交流机会也帮助高年级研究生在毕业后找到工作。智力优势：本次研讨会将推进机器学习知识并促进机器学习社区内的合作。作为受邀演讲嘉宾，顶尖大学和研究实验室的知名研究人员将向研讨会参与者讲授机器学习各个领域的前沿思想。学生们将展示自己的研究成果，并从资深研究人员和他们的同龄人那里获得宝贵的反馈。通过让处于机器学习职业生涯各个阶段的女性交流研究想法并建立新的关系，我们希望建立新的联系和研究合作，从而推动该领域的最新发展。更广泛的影响：本次研讨会将为女研究生、博士后、初级和高级教师、行业和政府研究科学家提供一个论坛，以交流研究思想，建立网络和指导关系。欢迎本科生，特别是那些对机器学习研究生或行业职位感兴趣的人参加。将处于职业生涯不同阶段的女性聚集在一起，为成熟的研究人员提供了充当导师的机会，并使年轻女性能够找到机器学习领域的女性榜样。研讨会还将使更广泛的机器学习社区受益：首先，wiml网站列出了所有以前的研讨会演讲者，为寻找女性受邀演讲者的组织提供了有用的资源。其次，与一个主要的机器学习会议在一起，提高了女性研究人员在更广泛的机器学习社区中的知名度。第三，向讲习班与会者提供的旅费也便利他们前往同一地点的会议，否则有些与会者是无法做到这一点的。最后，所有讲习班材料（幻灯片、摘要等）将在讲习班网站上提供，以确保广泛传播。