Workshop for Women in 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 day-long 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, while providing women in other areas of computer science an opportunity to learn about cutting-edge research in a growing field. The workshop consists of invited talks by established female researchers, shorter research talks by female Ph.D. students, a poster session showcasing student research, and an open discussion.
Organizers
This year's organizers are Hila Becker and Bethany Leffler with faculty advisor Lise Getoor.
Previous Workshops
This workshop was established by Hanna Wallach, Jenn Wortman, and Lisa Wainer with faculty advisor Amy Greenwald in 2006.
The 2006 workshop information is available at www.seas.upenn.edu/~wiml .