Collaborative Research: Workshop for Women in Machine Learning

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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.