论文标题
数据科学工作者如何传达中级结果？
How Do Data Science Workers Communicate Intermediate Results?
论文作者
论文摘要
数据科学工作者越来越多地在大型项目上进行合作，然后以可视化的形式向更广泛的受众传达见解。虽然先前的工作已经建立了数据科学团队，通常具有不同角色和工作流程，将知识传达给外部利益相关者的方式，但我们对数据科学工作者在交付最终产品之前的交流方式几乎没有知识。在这项工作中，我们对数据科学团队中的中间通信过程进行了细微的描述。通过与8位自明数据科学工作者分析访谈数据，我们通过四个因素，包括受众类型，交流目标，共享工件和交流方式来表征数据科学中间交流过程。我们还确定了当前通信过程中的总体挑战。我们还讨论了设计含义，这些含义可能会为更好的工具提供促进数据科学团队中中间交流的更好工具。
Data science workers increasingly collaborate on large-scale projects before communicating insights to a broader audience in the form of visualization. While prior work has modeled how data science teams, oftentimes with distinct roles and work processes, communicate knowledge to outside stakeholders, we have little knowledge of how data science workers communicate intermediately before delivering the final products. In this work, we contribute a nuanced description of the intermediate communication process within data science teams. By analyzing interview data with 8 self-identified data science workers, we characterized the data science intermediate communication process with four factors, including the types of audience, communication goals, shared artifacts, and mode of communication. We also identified overarching challenges in the current communication process. We also discussed design implications that might inform better tools that facilitate intermediate communication within data science teams.
