Crowdsourcing: Beyond Label Generation
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This tutorial will showcase some of the most innovative uses of crowdsourcing that have emerged in the past few years. While some have clear and immediate benefits to machine learning, we will also discuss examples in which crowdsourcing has allowed researchers to answer exciting questions in psychology, economics, and other fields.
We will discuss best practices for crowdsourcing (such as how and why to maintain a positive relationship with crowdworkers) and available crowdsourcing tools. We will survey recent research examining the effect of incentives on crowdworker performance. Time permitting, we will also touch on recent ethnographic research studying the community of crowdworkers and/or delve into the ethical implications of crowdsourcing.
Despite the inclusion of best practices and tools, this tutorial should not be viewed as a prescriptive guide for applying existing techniques. The goals of the tutorial are to inspire you to find novel ways of using crowdsourcing in your own research and to provide you with the resources you need to avoid common pitfalls when you do.
Target audience: This tutorial is open to anyone who wants to learn more about cutting edge research in crowdsourcing. No assumptions will be made about the audience's familiarity with either crowdsourcing or specific machine learning techniques. Anyone who is curious is welcome to attend!
As the tutorial approaches, more information will be available on the tutorial website: http://www.jennwv.com/projects/crowdtutorial.html
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