@article {9999, title = {Evaluating MIDST, a system to support stigmergic team coordination}, journal = {Proceedings of the ACM on Human-Computer Interaction}, volume = {5}, year = {2021}, month = {04/2021}, pages = {Article 36}, abstract = {

Data science teams working on a shared analysis face coordination problems such as dividing up the work to be done, monitoring performance and integrating the pieces. Research on distributed software development teams has raised the potential of stigmergic coordination, that is, coordination through a shared work product in place of explicit communication. The MIDST system was developed to support stigmergic coordination by making individual contributions to a shared work product visible, legible and combinable. In this paper, we present initial studies of a total of 40 student teams (24 using MIDST) that shows that teams that used MIDST did experience the intended system affordances to support their work, did seem to coordinate at least in part stigmergically and performed better on an assigned project.

}, keywords = {stigmergic coordination; translucency; awareness; data-science teams}, doi = {10.1145/3449110}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/CSCW_2020_MIDST_paper_final_0.pdf}, author = {Kevin Crowston and Jeffery Saltz and Niraj Sitaula and Yatish Hegde} } @proceedings {9999, title = {Coordination in OSS 2.0: ANT Approach}, year = {2019}, abstract = {

Open source software projects are increasingly driven by a combination of independent and professional developers, the former volunteers and the later hired by a company to contribute to the project to support commercial product development. This mix of developers has been referred to as OSS 2.0. However, we do not fully understand the multi-layered coordination spanning individuals, teams, and organizations. Using Actor-Network Theory (ANT), we describe how coordination and power dynamics unfold among developers and how different tools and artifacts both display activities and mediate coordination efforts. Internal communication within an organization was reported to cause broken links in the community, duplication of work, and political tensions. ANT shows how tools and code can exercise agency and alter a software development process as an equivalently active actor of the scene. We discuss the theoretical and practical implications of the changing nature of open source software development.

}, keywords = {actor-network theory, free/libre open source, Stigmergy}, doi = {10.24251/HICSS.2019.120}, url = { http://hdl.handle.net/10125/59538}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/hicss52a-sub2136-cam-i8-2.pdf}, author = {Sangseok You and Kevin Crowston and Jeffery Saltz and Yatish Hegde} } @proceedings {9999, title = {Helping data science students develop task modularity}, year = {2019}, abstract = {

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.

}, 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 {2019, title = {Socio-technical affordances for stigmergic coordination implemented in MIDST, a tool for data-science teams}, journal = {Proceedings of the ACM }, volume = {3}, year = {2019}, pages = {Article 117}, abstract = {

We present a conceptual framework for socio-technical affordances for stigmergic coordination, that is, coordination supported by a shared work product. Based on research on free/libre open source software development, we theorize that stigmergic coordination depends on three sets of socio-technical affordances: the visibility and combinability of the work, along with defined genres of work contributions. As a demonstration of the utility of the developed framework, we use it as the basis for the design and implementation of a system, MIDST, that supports these affordances and that we thus expect to support stigmergic coordination. We describe an initial assessment of the impact of the tool on the work of project teams of three to six data-science students that suggests that the tool was useful but also in need of further development. We conclude with plans for future research and an assessment of theory-driven system design.

}, keywords = {stigmergic coordination; translucency; awareness; data-science teams}, doi = {10.1145/3359219}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/cscw117-crowstonA.pdf}, author = {Kevin Crowston and Jeffery Saltz and Amira Rezgui and Yatish Hegde and Sangseok You} }