@conference {2020, title = {Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers}, booktitle = {Automation Experience across Domains (AutomationXP20), CHI{\textquoteright}20 Workshop, 26 April 2020, Virtual}, year = {2020}, month = {4/2020}, address = {Virtual workshop}, abstract = {

We apply two theoretical frameworks to analyze spell-checkers as a form of automation and apply the lessons learned to analyze opportunities to support data science. The analysis distinguishes between automation of analysis to suggest actions\  and automation of implementation of actions. Having the automation work in the same space as users (e.g., editing the same document) supports stigmergic coordination between the two, but attention is needed to ensure that the contributions can be combined and have a recognizable form that indicates their purpose.

}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/Everyday_automation\%20camera\%20ready.pdf}, author = {Kevin Crowston} } @proceedings {9999, title = {Linguistic adoption in online citizen science: A structurational perspective}, year = {2019}, address = {Munich, Germany}, abstract = {

For peer-production projects to be successful, members must develop a specific and common language that enables them to cooperate. We address the question of what factors affect the development of shared language in open peer production communities? Answering this question is important because we want the communities to be productive even when self-managed, which requires understanding how shared language emerges. We examine this question using a structurational lens in the setting of a citizen science project. Examining the use of words in the Gravity Spy citizen science project, we find that many words are reused and that most novel words that are introduced are not picked up, showing reproduction of structure. However, some novel words are used by others, showing an evolution of the structure. Participants with roles closer to the science are more likely to have their words reused, showing the mutually reinforcing nature of structures of signification, legitimation and domination.

}, url = {https://aisel.aisnet.org /icis2019/crowds_social/crowds_social/28/}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/Linguistic\%20Adoption\%20\%28ICIS\%29\%20final.pdf}, author = {Corey Brian Jackson and Carsten {\O}sterlund and Mahboobeh Harandi and Dhruv Kharwar and Kevin Crowston} } @inbook {2017, title = {Lessons Learned from a Decade of FLOSS Data Collection}, booktitle = {Big Data Factories}, year = {2017}, pages = {79 - 100}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-59185-8}, issn = {2509-9574}, doi = {10.1007/978-3-319-59186-5}, url = {http://link.springer.com/content/pdf/10.1007/978-3-319-59186-5}, author = {Crowston, Kevin and Squire, Megan}, editor = {Matei, Sorin Adam and Jullien, Nicolas and Goggins, Sean P.} } @inbook {9999, title = {Levels of trace data for social and behavioural science research}, booktitle = {Big Data Factories: Collaborative~Approaches}, year = {2017}, publisher = {Springer Nature}, organization = {Springer Nature}, abstract = {

The explosion of data available from online systems such as social media is creating a wealth of trace data, that is, data that record evidence of human activity. The volume of data available offers great potential to advance social and behavioural science research. However, the data are of a very different kind than more conventional social and behavioural science data, posing challenges to use. This paper adopts a data framework from Earth Observation science and applies it to trace data to identify possible issues in analyzing trace data. Application of the framework also reveals issues for sharing and reusing data.

}, isbn = {978-3-319-59186-5}, doi = {10.1007/978-3-319-59186-5_4}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/160529\%20levels\%20book\%20chapter_0.pdf}, author = {Kevin Crowston}, editor = {Sorin Matei and Sean Goggins and Nicolas Jullien} } @proceedings {9999, title = {Lessons from volunteering and free/libre open source software development for the future of work}, year = {2011}, month = {6/2011}, publisher = {Springer}, address = {Turku, Finland}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/ifipwg82paper_final.pdf}, author = {Kevin Crowston} } @article {9999, title = {Leadership in self-managing virtual teams}, year = {2010}, month = {12/2010}, publisher = {Syracuse University School of Information Studies}, abstract = {In this paper, we present a theory of leadership in self-managing virtual teams. We are particularly interested in self-managing virtual teams because self-management seems to be a common phenomenon in teams that interact primarily through information technology (so-called virtual teams). Building on leadership theory and structuration theory, the theory describes leadership as a process that results in the reinforcement, creation and evolution of ongoing structures and distinguishes between two types of leadership. We identify first-order leadership as leadership that works within and reinforces existing structures to elicit and guide group contributions. We define second-order leadership as behavior that effects changes in the structure that guides group action. We argue that second-order leadership is enabled by first-order leadership, is therefore action embedded, and is grounded in processes that define the social identity of the team. We propose that effective self-managing virtual teams will exhibit a paradoxical combination of shared, distributed first-order leadership complemented by strong, concentrated, and centralized second-order leadership. We conclude by presenting a set of research questions and suggestions for future research.}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/JOB\%20REVISED\%20to\%20distribute.pdf}, author = {Kevin Crowston and Heckman, Robert and Misiolek, Nora} } @conference {Li:2006, title = {Language and power in self-organizing distributed teams}, booktitle = {OCIS Division, Academy of Management Conference}, year = {2006}, address = {Atlanta, GA}, abstract = {In this paper, a comparative case study is conducted to explore the way power is expressed and exercised through language use in distributed or virtual teams. Our research questions are {\textquotedblleft}how is power expressed in online interactions in self-organizing distributed teams, in a context without formal authority or hierarchy?{\textquotedblright} and {\textquotedblleft}What effects do expressions of power have on team outcomes?{\textquotedblright} To fully understand the role of power in self-organizing teams, we apply an input-process-output model on two open source projects-one successful and the other less successful. Two set of codes (source of power and power mechanism) are drawn from the data, and different power patterns interestingly show up between them. The findings lead us to speculate that strong, centralized leadership, the assertive exercise of power, and direct language may contribute to effectiveness in FLOSS teams. And the relevant conclusions and suggestions are provided for further research.}, keywords = {FLOSS}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/LanguageAndPowerInSelf-organizing.pdf}, author = {Li, Qing and Kevin Crowston and Heckman, Robert and James Howison} }