@article {2015,
	title = {Surveying the citizen science landscape},
	journal = {First Monday},
	volume = {26},
	number = {1},
	year = {2015},
	month = {1/2015},
	type = {Journal Article},
	abstract = {<p>Citizen science has seen enormous growth in recent years, in part due to the influence of the Internet, and a corresponding growth in interest. However, the few stand-out examples that have received attention from media and researchers are not representative of the diversity of the field as a whole, and therefore may not be the best models for those seeking to study or start a citizen science project. In this work, we present the results of a survey of citizen science project leaders, identifying sub-groups of project types according to a variety of features related to project design and management, including funding sources, goals, participant activities, data quality processes, and social interaction. These combined features highlight the diversity of citizen science, providing an overview of the breadth of the phenomenon and laying a foundation for comparison between citizen science projects and to other online communities.</p>},
	doi = {10.5210/fm.v20i1.5520},
	url = {https://journals.uic.edu/ojs/index.php/fm/article/view/5520},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/Surveying\%20the\%20citizen\%20science\%20landscape.pdf},
	author = {Wiggins, Andrea and Kevin Crowston}
}
@proceedings {Wiggins:2008a,
	title = {Social dynamics of FLOSS team communication across channels},
	year = {2008},
	pages = {131-142},
	publisher = {Springer Boston},
	address = {Milan, Italy, 7-10 September},
	abstract = {This paper extends prior investigation into the social dynamics of free and open source (FLOSS) teams by examining the methodological questions arising from research using social network analysis on open source projects. We evaluate the validity of data sampling by examining dynamics of communication centralization, which vary across multiple communication channels. We also introduce a method for intensity-based smoothing in dynamic social network analysis.},
	keywords = {FLOSS},
	isbn = {978-0-387-09683-4},
	issn = {1571-5736 (Print) 1861-2288 (Online)},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/DSNAWigginsIFIP.pdf},
	author = {Wiggins, Andrea and James Howison and Kevin Crowston}
}
