@proceedings {9999,
	title = {Helping data science students develop task modularity},
	year = {2019},
	abstract = {<p>This paper explores the skills needed to be a data scientist. Specifically, we report on a mixed method study of a project-based data science class, where we evaluated student effectiveness with respect to dividing a project into appropriately sized modular tasks, which we termed task modularity. Our results suggest that while data science students can appreciate the value of task modularity, they struggle to achieve effective task modularity. As a first step, based our study, we identified six task decomposition best practices. However, these best practices do not fully address this gap of how to enable data science students to effectively use task modularity. We note that while computer science/information system programs typically teach modularity (e.g., the decomposition process and abstraction), and there remains a need identify a corresponding model to that used for computer science / information system students, to teach modularity to data science students.</p>},
	keywords = {data science, modularity, Stigmergy},
	doi = {10.24251/HICSS.2019.134},
	url = {http://hdl.handle.net/10125/59549},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/modularity-HICSS-final-afterReview.pdf},
	author = {Jeffery Saltz and Heckman, Robert and Kevin Crowston and Sangseok You and Yatish Hegde}
}
@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}
}
