Workshop for Women in Machine Learning

机器学习女性研讨会

• 批准号: 0647431
• 负责人: Amy Greenwald
• 金额: --
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0647431&HistoricalAwards=false
• 关键词: Workshop; Women; Machine; Learning

Machine learning is one of the fastest growing areas of computer science research. Search engines, face recognition, DNA sequence analysis, speech and handwriting recognition, credit card fraud detection, premature baby monitoring and autonomous locomotion are just some of the applications in which machine learning is routinely used.Despite the variety of machine learning techniques and applications, 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.This one-day workshop, which is co-located with the Grace Hopper Celebration of Women in Computing, gives female faculty, research scientists and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other, while providing women in other areas of computer science an opportunity to learn about cutting-edge research in a growing field.Bringing together women from different stages of their careers gives established researchers the opportunity to act as mentors, and enables junior women to find female role models in the field of machine learning. Additionally, the workshop provides a forum for establishing new connections and research collaborations, thereby advancing the state-of-the-art.

机器学习是计算机科学研究中发展最快的领域之一。搜索引擎、人脸识别、DNA序列分析、语音和手写识别、信用卡欺诈检测、早产婴儿监测和自主行走只是机器学习经常使用的一些应用程序。尽管机器学习技术和应用程序多种多样，但女性研究人员的比例低于计算机科学的许多其他领域。大多数从事机器学习的女性很少有机会与其他女性研究人员互动，这使得她们很容易感到孤立，很难找到榜样。这个为期一天的研讨会与计算女性格蕾丝·霍珀庆祝活动共同举办，为机器学习社区的女性教员、研究科学家和研究生提供了见面、交流思想和相互学习的机会，同时也为计算机科学其他领域的女性提供了学习这个不断增长的领域的前沿研究的机会。将来自不同职业阶段的女性聚集在一起，让知名研究人员有机会充当导师。并使初级女性能够在机器学习领域找到女性榜样。此外，研讨会还为建立新的联系和研究合作提供了一个论坛，从而促进了最先进的研究。