@article {374,
	title = {Citizen science system assemblages: Toward greater understanding of technologies to support crowdsourced science},
	year = {2011},
	month = {06/2011},
	publisher = {Syracuse University School of Information Studies},
	type = {Unpublished working paper},
	abstract = {We explore the nature of technologies to support citizen science, a method of inquiry that leverages the power of crowds to collect and analyze scientific data. We evaluate these technologies as system assemblages, collections of interrelated functionalities that support specific activities in pursuit of overall project goals. The notion of system assemblages helps us to explain how different citizen science platforms may be comprised of widely varying functionalities, yet still support relatively similar goals. Related concepts of build vs. buy, support for science vs. support for participants, and web satisfiers vs. web motivators are used to explore how different citizen science functionalities may lead to successful project outcomes. Four detailed case studies of current citizen science projects encompassing a cross-section of varying project sizes, resource levels, technologies, and approaches to inquiry help us to answer the following research questions: 1) What factors influence the composition of a system assemblage for citizen science? 2) What do typical system assemblages for citizen science look like? 3) What effect does the assemblage composition have on scientific goals, participant support, motivation, and satisfaction? and 4) What are the design implications for the system assemblage perspective on citizen science technologies?},
	keywords = {Citizen Science, Design Science, system assemblages},
	author = {Prestopnik, Nathan and Kevin Crowston}
}
@unpublished {9999,
	title = {Exploring Collective Intelligence Games With Design Science: A Citizen Science Design Case},
	year = {2011},
	abstract = {Citizen science is a form of collective intelligence where members of the public are recruited to contribute to scientific investigations. Citizen science projects often use web-based systems to support collaborative scientific activities, but finding ways to attract participants and confirm the veracity of the data produced by non-scientists are key research questions. We describe a series of web-based tools and games currently under development to support taxonomic classification of organisms in photographs collected by citizen science projects. In the design science tradition, the systems are purpose-built to test hypotheses about participant motivation and techniques for ensuring data quality. Findings from preliminary evaluation and the design process itself are discussed.},
	keywords = {Citizen Science, Design Science, Games},
	author = {Prestopnik, Nathan and Kevin Crowston}
}
