@proceedings {2010,
	title = {Machine Learning and Rule-Based Automated Coding of Qualitative Data},
	year = {2010},
	month = {10/2010},
	address = {Pittsburgh, PA},
	abstract = {Researchers often employ qualitative research approaches but large volumes of textual data pose considerable challenges to manual coding. In this research, we explore how to implement fully or semi-automatic coding on textual data (specifically, electronic messages) by leveraging Natural Language Processing (NLP). In particular, we compare the performance of human-developed NLP rules to those inferred by machine learning algorithms. The experimental results suggest that NLP with machine learning can be an effective way to assist researchers in coding qualitative data.

},
	keywords = {FLOSS, NLP},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/ml_nlp.pdf , https://crowston.syr.edu./sites/crowston.syr.edu/files/ASIST\%20poster\%202p\%20final.pdf},
	author = {Kevin Crowston and Xiaozhong Liu and Allen, Eileen E. and Heckman, Robert}
}
@article {Li:2008a,
	title = {Asynchronous Decision-Making in Distributed Teams (Poster)},
	year = {2008},
	month = {8{\textendash}12 November},
	address = {San Diego, CA},
	keywords = {Decision-Making, FLOSS},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/CSCW2008Poster11x17Draft.pdf},
	author = {Li, Qing and Heckman, Robert and Allen, Eileen E. and Kevin Crowston and Eseryel, U. Yeliz and James Howison and Wiggins, Andrea}
}
@proceedings {Heckman:2006b,
	title = {Emergent decision-making practices in technology-supported self-organizing distributed teams},
	year = {2006},
	address = {Milwaukee, WI, 10{\textendash}13 Dec},
	abstract = {We seek to identify work practices that make technology-supported self-organizing distributed (or virtual) teams (TSSODT for short) effective in producing outputs satisfactory to their sponsors, meeting the needs of their members and continuing to function. A particularly important practice for team effectiveness is decision making: are the right decisions made at the right time to get the work done in a way that satisfies team sponsors, keeps contributors happy and engaged, and enables continued team success? In this research-in-progress paper, we report on an inductive qualitative analysis of 120 decision episodes taken by 2 Free/libre Open Source Software development teams. Our analysis revealed differences in decision-making practices that seem to be related to differences in overall team effectiveness.},
	keywords = {Decision-Making, FLOSS},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/Emergent\%20Decision\%20Making\%20Practices\%20In\%20Technology\%20Supported\%20Self\%20O.pdf},
	author = {Heckman, Robert and Kevin Crowston and Li, Qing and Allen, Eileen E. and Eseryel, U. Yeliz and James Howison and Kangning Wei}
}
