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THE SCIENCE OF CITIZEN SCIENCE: THEORIES, METHODOLOGIES, AND PLATFORMS
From the website:
The practice of citizen science offers a set of challenging questions to computer scientists. How can we ensure data quality from transient, anonymous volunteers whose expertise and interest are unknown and difficult to estimate? What is the nature of the interaction between citizen scientists and scientists in different types of citizen science projects, and how can we design technology to support these different kinds of interactions? How do we motivate citizens to participate? How can citizen science platforms be designed to adequately address the needs and concerns of scientists? What are different types of citizen science communities and what are the best way to approach and work with them? While there are many computational aspects to citizen science research (e.g., machine learning researchers devising new techniques for quality control), we are interested in defining citizen science research within the realm of human-computer interaction, i.e., CHI/CSCW style work.