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: 1037002
• 负责人: Hanna Wallach
• 金额: $ 0.63万
• 依托单位: University of Massachusetts Amherst
• 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=1037002&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，年度机器学习女性研讨会 (WiML) 汇集了来自机器学习界的工业界和学术界的女性研究人员、博士后研究员和研究生，交流研究想法并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来展示他们的研究（在许多情况下，这是第一次），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还帮助高年级研究生毕业后找到工作。智力优势：该研讨会将推进机器学习知识并促进机器学习社区内的协作。作为受邀演讲者，顶尖大学和研究实验室的资深研究人员将向研讨会参与者讲授机器学习不同领域的前沿思想。学生将展示自己的研究成果，并从高级研究人员及其同行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能够交流研究想法并形成新的关系，我们期望建立新的联系和研究合作，从而推动该领域的最先进水平。 更广泛的影响：本次研讨会将为女研究生、博士后研究员、初级和高级教师以及行业和政府研究科学家提供一个论坛，以交流研究想法并建立网络和指导关系。本科生，特别是那些有兴趣在机器学习领域攻读研究生院或行业职位的本科生，也欢迎参加。将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女性榜样从事机器学习领域工作。该研讨会还将惠及更广泛的机器学习社区：首先，WiML 网站列出了之前所有研讨会的演讲者，对于寻找女性受邀演讲者的组织来说，这是一个有用的资源。其次，与大型机器学习会议同期举办可以提高女性研究人员在更广泛的机器学习社区中的知名度。第三，为研讨会参与者提供的旅费也方便了他们参加同一地点的会议，否则这对一些参与者来说是不可能的。最后，所有研讨会材料（幻灯片、摘要等）将在研讨会网站上提供，以确保广泛传播。