Orienting, Framing, Bridging, Magic, and Counseling: How Data Scientists Navigate the Outer Loop of Client Collaborations in Industry and Academia

Orienting, Framing, Bridging, Magic, and Counseling: How Data Scientists Navigate the Outer Loop of Client Collaborations in Industry and Academia
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定位、框架、桥梁、魔法和咨询:数据科学家如何驾驭工业界和学术界客户合作的外环

DOI:
10.1145/3476052
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发表时间:
2021
影响因子:
--
通讯作者:
Guo, Philip
Guo, Philip
中科院分区:
--
文献类型:
--
作者:
Kross, Sean;Guo, Philip

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数据科学家经常与客户合作分析数据以满足客户的需求。在项目的整个生命周期中,数据科学家与客户合作的端到端工作流程是什么样的?为了调查这个问题,我们采访了10位数据科学家(5位女性,4位男性,1位非二元),他们在行业和学术界扮演着不同的角色。我们发现,他们与客户在六个阶段的外环工作流程中合作,其中包括1)在项目开始前通过建立信任奠定基础,2)面向客户环境的约束,3)协作框架问题,4)弥合数据科学和领域专业知识之间的差距,5)技术数据分析工作的内环,6)提供咨询,帮助来访者在情绪上科普分析结果。这种新颖的外循环工作流通过扩展数据科学中协作意味着什么的概念而超越了广泛已知的获取,清理,分析,建模和可视化数据的内环技术工作流阶段,从而为CSCW做出了贡献。最后,我们讨论了我们的研究结果对数据科学教育的影响,与设计工作的相似之处,以及未满足的工具开发需求。
Data scientists often collaborate with clients to analyze data to meet a client's needs. What does the end-to-end workflow of a data scientist's collaboration with clients look like throughout the lifetime of a project? To investigate this question, we interviewed ten data scientists (5 female, 4 male, 1 non-binary) in diverse roles across industry and academia. We discovered that they work with clients in a six-stage outer-loop workflow, which involves 1) laying groundwork by building trust before a project begins, 2) orienting to the constraints of the client's environment, 3) collaboratively framing the problem, 4) bridging the gap between data science and domain expertise, 5) the inner loop of technical data analysis work, 6) counseling to help clients emotionally cope with analysis results. This novel outer-loop workflow contributes to CSCW by expanding the notion of what collaboration means in data science beyond the widely-known inner-loop technical workflow stages of acquiring, cleaning, analyzing, modeling, and visualizing data. We conclude by discussing the implications of our findings for data science education, parallels to design work, and unmet needs for tool development.
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