CALL FOR ABSTRACTS

Workshop for Women in Machine Learning

Co-located with the Grace Hopper Celebration of Women in Computing
Orlando, Florida
October 17, 2007

Deadline for abstract submissions: August 15, 2007

INTRODUCTION

Machine learning is one of the fastest growing areas of computer
science. 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 will give female faculty, research scientists,
and 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.

Workshop registration is free.

WORKSHOP FORMAT

The workshop will consist of invited talks by established researchers,
shorter contributed research talks, and a poster session.

ABSTRACT SUBMISSION

We strongly encourage women in all areas of machine learning
to submit an abstract (up to 500 words) describing either new or
previously published research. Authors of accepted abstracts will be
asked to give a short talk about their research at the workshop.

Abstracts should be submitted via the workshop website:
http://www.wimlworkshop.org/

IMPORTANT DATES

Abstract submission deadline: August 15, 2007
Notification of acceptance: August 30, 2007
Registration deadline: September 15, 2007
Workshop: October 17, 2007

ORGANIZERS

Hila Becker, Columbia University
Melissa Carroll, Princeton University
Bethany Leffler, Rutgers University

For more information, please visit: http://www.wimlworkshop.org/