Galaxy Zoo: Motivations of Citizen Scientists

Statistics – Methodology

Scientific paper

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Scientific paper

We have developed Galaxy Zoo, a citizen science project in which volunteers classify images of galaxies by shape. The site has been hugely successful in reaching large numbers of people - more than 125,000 people have signed up. As a result, each galaxy has been classified more than 30 times, resulting in high-quality science results.
We are studying the motivations of these volunteers to determine what about our site made it so captivating. We have some ideas - people enjoy helping science, looking at beautiful galaxy images, and the "game" nature of the interface. But we want to study the motivations systematically, to learn who thinks what, and how this affects what they do.
We have designed a methodology in which we begin with interviews, asking open-ended questions of volunteers about their motivation. Then, we design a survey to collect motivation data for a larger sample. Lastly, for volunteers who agreed to give us their site username, we examine how they classified galaxies to look for correlations between motivation and behavior.
In this poster, we describe our methodology and present preliminary results of our research.

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