@unpublished {9999,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}
}
@conference {2011,
	title = {Gaming for (citizen) science: Exploring motivation and data quality in the context of crowdsourced science through the design and evaluation of a social-computational system},
	booktitle = {{\textquotedblleft}Computing for Citizen Science{\textquotedblright} workshop at the IEEE eScience Conference},
	year = {2011},
	month = {12/2011},
	address = {Stockholm, Sweden},
	abstract = {In this paper, an ongoing design research project is described. Citizen Sort, currently under development, is a web-based social-computational system designed to support a citizen science task, the taxonomic classification of various insect, animal, and plant species. In addition to supporting this natural science objective, the Citizen Sort platform will also support information science research goals on the nature of motivation for social-computation and citizen science. In particular, this research program addresses the use of games to motivate participation in social-computational citizen science, and explores the effects of system design on motivation and data quality. A design science approach, where IT artifacts are developed to solve problems and answer research questions is described. Research questions, progress on Citizen Sort planning and implementation, and key challenges are discussed.},
	keywords = {Citizen Science, data quality, Design, Design Science, Games, Gaming, motivation, Participation, Social Computational Systems},
	url = {http://itee.uq.edu.au/~eresearch/workshops/compcitsci2011/index.html},
	author = {Prestopnik, Nathan R. and Kevin Crowston}
}
