Please use this identifier to cite or link to this item:
Title: Deliberate Individual Change Framework for Understanding Programming Practices in four Oceanography Groups
Authors: Kuksenok, Kateryna
Aragon, Cecilia
Fogarty, James
Lee, Charlotte P.
Neff, Gina
Keywords: Scientific software;Programming practice;Data science;Oceanography;Qualitative analysis;Sociotechnical infrastructure;Software engineering
Issue Date: 2017
Publisher: Springer, London
metadata.dc.relation.ispartof: Computer Supported Cooperative Work 26(4-5)- ECSCW 2017: Proceedings of the 15th European Conference on Computer Supported Cooperative Work
Series/Report no.: ECSCW
Abstract: Computing affects how scientific knowledge is constructed, verified, and validated. Rapid changes in hardware capability, and software flexibility, are coupled with a volatile tool and skill set, particularly in the interdisciplinary scientific contexts of oceanography. Existing research considers the role of scientists as both users and producers of code. We focus on how an intentional, individually-initiated but socially-situated, process of uptake influences code written by scientists. We present an 18-month interview and observation study of four oceanography teams, with a focus on ethnographic shadowing of individuals undertaking code work. Through qualitative analysis, we developed a framework of deliberate individual change, which builds upon prior work on programming practices in science through the lens of sociotechnical infrastructures. We use qualitative vignettes to illustrate how our theoretical framework helps to understand changing programming practices. Our findings suggest that scientists use and produce software in a way that deliberately mitigates the potential pitfalls of their programming practice. In particular, the object and method of visualization is subject to restraint intended to prevent accidental misuse.
metadata.dc.identifier.doi: 10.1007/s10606-017-9285-x
ISSN: ISSN 0925-9724
metadata.mci.conference.sessiontitle: Long Papers
metadata.mci.conference.location: Sheffield, UK 28 August - 1 September 2017
Appears in Collections:ECSCW 2017 Long Papers

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.