Crowdsourcing techniques allow us to harness human computation and the “wisdom of crowds” to make predictions or accomplish other tasks that would be difficult to accomplish using computers alone. In this talk I will discuss ways in which crowdsourcing can be used to generate novel sources of data, and some of the unique challenges that arise when doing so.
Jenn Wortman Vaughan is a Senior Researcher at Microsoft Research, New York City, where she studies algorithmic economics, machine learning, and social computing, with a recent focus on prediction markets and crowdsourcing. Jenn came to MSR in 2012 from UCLA, where she was an assistant professor in the computer science department. She completed her Ph.D. at the University of Pennsylvania in 2009, and subsequently spent a year as a Computing Innovation Fellow at Harvard. She is the recipient of Penn’s 2009 Rubinoff dissertation award for innovative applications of computer technology, a National Science Foundation CAREER award, and a Presidential Early Career Award for Scientists and Engineers. In her “spare” time, Jenn is involved in a variety of efforts to provide support for women in computer science; most notably, she co-founded the Annual Workshop for Women in Machine Learning, which will be held for the tenth straight year in 2015.
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