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All events WiML @ Mujeres en Inteligencia Artificial (Women in Artificial Intelligence) El Montonero Restaurant, Alameda Pardo 123, Cercado, Peru and Virtual February 20, 2025 19:00 - 21:30hrs The event will feature a 35-minute panel discussion with three female experts in AI. The panel will explore strategies for empowering women to thrive in the field of Artificial Intelligence and Machine Learning, drawing insights from the speakers' professional journeys. Additionally, the discussion will delve into technical trends and advancements, with each speaker sharing their perspectives on the future of AI within their specialized areas, such as Natural Language Processing (NLP), Computer Vision (CV), and Responsible AI. The session will conclude with a Q&A segment, followed by a dinner and networking opportunity to foster meaningful connections. Organizers: Rosa Paccotacya Yanque, Nils Murrugarra Llerena Additional information can be found by email at nem177@pitt.edu or rypaccotacya@ucsp.edu.pe . Previous Next

All events WiML-CWS Social @ AISTATS 2022 Virtual March 29, 2022 6:00 pm - 7:00 pm Women in Machine Learning (WiML) and the Caucus for Women in Statistics (CWS) are excited to announce a 1-hour social event at AISTATS 2022 on Tuesday, 29 March, starting at 6 PM UTC. The event will start with a couple of icebreaker sessions to encourage networking among participants. In the main part of the event there will be a Q&A with WiML sponsors, WiML board members and CWS board members in an open format: participants are encouraged to come with questions on topics ranging from career advice, time-management, to conducting research topics. Event Format Agenda (all times approximate) 6:00 – 6:10 pm UTC – (10 min) Welcome and opening remarks 6:10 – 6:25 pm UTC – (15 min) small group discussions 6:25 – 6:55 pm UTC – (30 min) Q&A with WiML sponsors, WiML board members and CWS board members 6:55 – 7:00 pm UTC – (5 min) Closing remarks Joining Instructions How to join: You can find the Zoom link on the AISTATS portal: https://virtual.aistats.org/virtual/2022/affinity-event/3686 (AISTATS registration required to access). Event limited to 300 participants. Participant instructions: We suggest preparing one or two lines to describe your work and research, as well as any other topics you may want to discuss. During the Q&A, you can type-in or verbally ask questions for WiML board members and/or our sponsors, so bring any questions you may have! Questions? Email workshop@wimlworkshop.org . By joining the event, you agree to abide by the AISTATS Code of Conduct and WiML Code of Conduct . SPONSORS -Platinum- Previous Next

< Back Savannah Thais, PhD WiML Director (2019-2021)

< Back Sara Jennings WiML Director (2021-2022) Visit my Profile

Women in Machine Learning (WiML) is a volunteer-run organization dedicated to supporting women in the male-dominated field of machine learning. Through events and programs, WiML fosters a positive and inclusive environment for professional and technical growth. For media inquiries, interview requests, and collaborations, please reach out to our press email. press@wimlworkshop.org About WiML Women in Machine Learning (WiML) is a volunteer-run organization dedicated to supporting women in the male-dominated field of machine learning. Through events and programs, WiML fosters a positive and inclusive environment for professional and technical growth. Our Mission The field of machine learning, while growing immensely in scale and scope in the last decade, has a major lack of gender diversity: only 14% of authors of ML papers are women and on average, only 20% of professors are female. WiML’s mission is to enhance the experience of women in machine learning; toward this goal, WiML aims to: WiML creates opportunities for women to engage in substantive technical and professional conversations in positive, supportive environments. WiML also works to increase awareness and appreciation of the achievements of women in the field (e.g. award nominations, invited speaker recommendations) to help ensure that women in machine learning and their achievements are known in the community. Our History and Achievements Since its founding in 2006, WiML has grown into a major force for inclusivity in machine learning. Some of our key milestones include: Annual WiML Workshop : Held alongside the NeurIPS Conference, our flagship workshop has grown from a small gathering to over 1,500 participants in 2021. Networking Events: We organize networking opportunities at ML conferences, fostering connections across the industry. Public Directory: Our directory helps conference organizers find women speakers and panelists in machine learning. Social Media Presence: With 17.2K followers on Twitter , we amplify the voices of women in ML. Mailing List: Nearly 7,000 subscribers receive job opportunities, event updates, and industry news. For media inquiries or interview requests, please reach out to our press email. Press Contact press@wimlworkshop.org

Empowering Women in Machine Learning: Amplifying Achievements, Elevating Voices, Building Leaders, and Bridging Gaps to enhance the experience of women in machine learning. 15th Women in Machine Learning Workshop (WiML 2020) The 15th WiML Workshop is co-located with the virtual NeurIPS conference on December 9th, 2020. Logistics Program Call for Participation FAQ Code Of Conduct Machine learning is one of the fastest growing areas of computer science research. In spite of the wide reach of machine learning and the variety of theory and applications it covers, the percentage of female researchers is lower than in many other areas of computer science. Most women working in machine learning rarely get the chance to interact with other female researchers, making it easy to feel isolated and hard to find role models. The annual Women in Machine Learning (WiML) Workshop, co-located with NeurIPS, is our flagship event. This day-long technical workshop gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other. The workshop started at the 2006 Grace Hopper Celebration and moved to NeurIPS in 2008. A History of WiML poster was created in 2015 to celebrate the 10th workshop. In 2020, WiML introduced an “un-workshop” at ICML based on the concept of an “un-conference”, a form of discussion on a pre-selected topic that is primarily driven by participants. The overall goal of the un-workshop is to advance research through collaboration and increased interaction among participants from diverse backgrounds. Location The workshop takes place virtually. See program for more details. PROGRAM The full program book for WiML 2020 is now available. Call for Participation Please fill out this form and register for NeurIPS if you would like to attend. All are welcome, and we look forward to your involvement! PLATINUM SPONSORS DIAMOND SPONSORS GOLD SPONSORS SILVER SPONSORS SILVER SPONSORS Back To Top

The Senior Advisory Council is composed of WiML founders, past presidents, and distinguished leaders who have played a pivotal role in shaping the organization's mission and growth. Senior Advisory Council The Senior Advisory Council is composed of WiML founders, past presidents, and distinguished leaders who have played a pivotal role in shaping the organization's mission and growth. This council serves as a guiding force, providing strategic insights, historical context, and expert advice to the Board of Directors. Members of the Senior Advisory Council help ensure that WiML continues to foster an inclusive and supportive community for women in the field. Hanna Wallach, PhD WiML Co-Founder, President (2009-2012), Director (2012-2016) Jenn Wortman Vaughan, PhD WiML Co-Founder, Director (2009-2012, 2014-2018) Finale Doshi-Velez, PhD WiML President (2013-2015), Director (2009-2012, 2016-2018) Katherine M. Kinnaird, PhD WiML President (2016-2019), Director (2014-2015) Sarah Osentoski, PhD WiML President (2019-2022), Director (2009-2015) Bethany Edmunds, PhD WiML President (2022-2023), Vice President of Programs (2021-2022), Director (2020-2021)

WiML is dedicated to providing an experience for all participants that is free from harassment, bullying, discrimination, and retaliation. WiML Code of Conduct The open exchange of ideas, the freedom of thought and expression, and respectful scientific debate are central to the goals of Women in Machine Learning, Inc. (“WiML”) activities; this requires a community and an environment that recognizes and respects the inherent worth of every person. The purpose of this Code of Conduct (CoC) is to outline expected standards of behaviour during WiML activities. Scope This CoC applies to all WiML activities, including but not limited to: Events organized, hosted, co-branded, or in cooperation with WiML Submissions and reviewing processes run by WiML. Communications sent through communication channels associated with WiML, including but not limited to social media. Meetings and discussions associated with WiML activities. If an activity is in cooperation with another organization, if the other organization has its own CoC, the union of both CoCs apply. Responsibility All attendees, speakers, mentors, panelists, area chairs, reviewers, sponsors, contractors, organizers, volunteers, members of the WiML Board of Directors and Senior Advisory Council (referred to as “Participants” collectively throughout this document) involved in WiML activities as described above are required to comply with this CoC. Reviews should actively avoid subtle discrimination, however inadvertent. In particular, reviewers should avoid comments in reviews about English style or grammar that may be interpreted as implying that the author is “foreign” or “non-native”. Sponsors are equally subject to this CoC. In particular, sponsors should not use images, activities, or other materials that reinforce gender stereotypes or are of a sexual, racial, or otherwise offensive nature at WiML events. Booth staff, including but not limited to volunteers, should not create a sexualized environment. Unacceptable Behavior WiML is dedicated to providing an experience for all participants that is free from harassment, bullying, discrimination, and retaliation. This includes offensive comments related to gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), politics, technology choices, or any other personal characteristics or considerations made unlawful by federal, state, or local laws, ordinances, or regulations. Inappropriate or unprofessional behavior that interferes with another participant’s full participation will not be tolerated. This includes bullying, intimidation, personal attacks, harassment, sustained disruption of talks or other events, sexual harassment, stalking, following, harassing photography or recording, inappropriate physical contact, unwelcome sexual attention, public vulgar exchanges, derogatory name-calling, or diminutive characterizations, all of which are unwelcome in this community. Advocating for, or encouraging, any of the above behaviour, is also considered harassment. No use of images, activities, or other materials that are of a sexual, racial, or otherwise offensive nature that may create an inappropriate or toxic environment is permitted. Disorderly, boisterous, or disruptive conduct including but not limited to fighting, coercion, theft, damage to property, or any mistreatment or non-businesslike behavior towards other participants is not tolerated. Scientific misconduct—including but not limited to fabrication, falsification, or plagiarism of paper submissions or research presentations—is prohibited. Reporting If you have concerns related to your participation or interaction at a WiML activity, observe someone else’s difficulties, or have any other concerns you wish to share, you can make a report: Anytime: By email at codeofconduct@wimlworkshop.org ‬ During an event: In-person to organizers, volunteers, or any member of the WiML Board of Directors. They will then direct you to the designated responder(s) for that event. Organizers and volunteers can be identified by special badges marked as “ORGANIZER” or “VOLUNTEER”. Members of the WiML Board of Directors can be identified by special badges marked as “WiML Board”. There is no deadline by which to make a report. If the person receiving your report is not the designated responder for that event, they will direct you to a designated responder and/or provide you immediate medical or security help and assist you to feel safe for the duration of the activity. Designated responders will follow WiML procedures to respond to and investigate your report. Enforcement Any participant asked by any member of the community to stop any unacceptable behavior is expected to comply immediately. A response of “just joking” will not be accepted; behavior can be harassing without an intent to offend. If a participant engages in behaviour that violates this CoC, WiML retains the right to take any action deemed appropriate, including but not limited to: Formal or informal warnings Barring or limiting continued attendance and participation, including but not limited to expulsion from the event Barring from participating in or deriving benefits from future WiML activities Exclusion from WiML opportunities, e.g. leadership, organizing, volunteering, speaking, reviewing, sponsoring, etc. Reporting the incident to the offender’s local institution or funding agencies Reporting the incident to local law enforcement The same actions may be taken toward any individual who engages in retaliation or who knowingly makes a false allegation of harassment. If action is taken, an appeals process will be made available. Investigation Reports of violations will be handled at the discretion of the WiML Board of Directors, who will investigate reports and bring the issue to resolution. Reports made during the activity will be responded to within 24 hours; reports made at other times will be responded to in less than five weeks. All reports will be handled as confidentially as possible and information will be disclosed only as it is necessary to complete the investigation and bring to resolution. There may be situations (such as those involving Title IX issues in the United States and venue- or employer-specific policies) where the member of the WiML Board of Directors informed of the violation will be under an obligation to file a report with another individual or organization outside of WiML. Ongoing Review The WiML Board of Directors welcomes feedback from the community on this CoC policy and procedures; please contact us by email at info@wimlworkshop.org . Acknowledgements This CoC policy was written by adapting the wording and structure from other CoC policies and procedures by Geek Feminism Wiki (created by the Ada Initiative), NeurIPS , ACM , Montreal AI Symposium , and Deep Learning Indaba .

< Back Finale Doshi-Velez, PhD WiML President (2013-2015), Director (2009-2012, 2016-2018) Visit my Profile

< Back Emma Brunskill, PhD WiML Director (2011-2016)

All events WiML Social @ ICLR 2024 Vienna, Austria May 8, 2024 12:45PM Date: May 08th, 2024 (Wed.) Time: 12:45 PM- 2:15 PM Place: Hall B, Messe Wien Exhibition Congress Center@Vienna, Austria The topic of the panel will be AI Unplugged: Navigating Everyday Life & Professional Paths. During the panel, we aim to facilitate discussions on various topics, such as mentorship advice and how AI t echnologies are impacting personal and professional domains. Program: 12:45 – 12:50 PM Opening Remarks - Tatjana Chavdarova (WiML board) 12:50 – 1:25 PM Networking & Lunch 12:50 – 1:00 PM Icebreaker games 1:00 – 1:25 PM Networking themed roundtables 1:25 – 2:15 PM Panel discussion: “AI Unplugged: Navigating Everyday Life & Professional Paths” PANELISTS Bahare Fatemi Bahare Fatemi is a Research Scientist at Google Research in Montreal, specializing in graph representation learning and natural language processing. She received her Ph.D. From the University of British Columbia. Her work has been featured in top AI conferences and journals including NeurIPS, ICLR, AAAI, and JMLR. She co-organized the Mining and Learning with Graphs workshop at KDD, Women in Machine Learning (WiML) workshop, and the Montreal AI Symposium. Devi Parikh Devi Parikh, an Associate Professor at Georgia Tech's School of Interactive Computing, previously served as Senior Director of Generative AI at Meta until March 2024. Her diverse career includes roles as Director at Meta's FAIR lab, Assistant Professor at Virginia Tech, and Research Assistant Professor at TTIC. She has held visiting positions at esteemed institutions such as Cornell, UT Austin, Microsoft Research, MIT, Carnegie Mellon, and Facebook AI Research. Her research focuses on generative AI, AI for creativity, multimodal AI, and human-AI collaboration. She boasts numerous awards, including NSF CAREER, Sloan Research Fellowship, and IJCAI Computers and Thought award, among others. Priya Donti Priya Donti is an Assistant Professor and the Silverman (1968) Family Career Development Professor at MIT EECS and LIDS. Her research focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Priya is also the co-founder and Chair of Climate Change AI, a global nonprofit initiative to catalyze impactful work at the intersection of climate change and machine learning. Priya received her Ph.D. in Computer Science and Public Policy from Carnegie Mellon University. She hold several awards and fellowships including the MIT Technology Review’s 2021 “35 Innovators Under 35” award and the ACM SIGEnergy Doctoral Dissertation Award. MODERATOR Aya Abdelsalam Ismail Aya Abdelsalam Ismail is a research scientist at Prescient Design in the frontier group. Prior to Prescient, she received her Ph.D. from the University of Maryland where she was advised by Soheil Feizi and Héctor Corrada Bravo. During her Ph.D. her research focused on the interpretability of neural models for sequential data. WiML SOCIAL ORGANIZERS Yutong Zhou Yutong Zhou is a Postdoc Researcher at the Leibniz Centre for Agricultural Landscape Research (ZALF), Germany. Her research interests focus on computer vision and deep learning, particularly in Generative Models, Multi-modal Vision and Language. She is concentrating on Artificial Intelligence × Biodiversity × Smart agriculture, surrounding the goals of ‘Global Sustainability for Better AI’ and ‘AI for Best Global Sustainability’. Lisa Weijler Lisa Weijler is a PreDoc researcher at the Computer Vision Lab (CVL), TU Wien, Austria. Her research interests are computer vision and machine learning for 3D and unstructured data, especially point clouds. Additionally, she is passionate about combining her research with medical, social or political science in interdisciplinary projects. She has applied her research for cancer cell detection in pediatric leukemia patients as well as for methodological advancements like SE(3) equivariant convolutions or OOD 3D scene understanding. Her main research focus currently is open vocabulary 3D scene understanding. WiML BOARD ORGANIZERS Hewitt Tusiime – WiML ICLR liaison Erin Grant – D&I chair Tatjana Chavdarova – VP Events WiML Thanks to our sponsors! Previous Next

All events WiML Luncheon @ ICML 2016 New York, New York June 21, 2016 12:00 pm — 02:00 pm WiML is hosting a luncheon at ICML 2016 in New York, New York. This event gives female faculty, research scientists, data scientist, and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other. Date: Tuesday, June 21, 2016, 12pm-2pm Venue: Microsoft building (5th floor), 11 Times Square, New York Registration: https://www.eventbrite.com/e/wiml-icml-luncheon-2016-tickets-25415537557# If you see any errors or omissions or have any information to contribute to this page, please contact us at info@wimlworkshop.org SPONSORS -Silver- -Bronze- Previous Next