发表机构
Carleton University（卡尔顿大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文介绍一个领导者驱动的开放协作平台，旨在通过跨领域专家协作减少探索新领域时的偏见，同时控制贡献差异性，并基于原型开发提出相关命题。
AI 中文摘要
本文描述了一个用于探索新领域的领导者驱动型开放协作平台的设计与初步评估。该平台的目标是实现跨知识边界的领域专家协作。传统上，新领域通常由单一专家或聚焦小组的视角进行探索，但这往往引入偏见。协作通过提供更广泛的信息来源来帮助减少此类偏见，从而增加在新领域产生新见解的机会。然而，协作也带来了一个新问题：贡献之间的差异性。差异性使得生成连贯的文档变得困难。在本文中，我们报告了开发该开放协作平台初始原型时的观察结果，并提出了关于领导者驱动的开放协作如何在控制差异性的同时帮助减少偏见的命题。
英文摘要
This paper describes the design and initial evaluation of a leader-driven open collaboration platform for exploring new domains. The goal of this platform is to enable the collaboration of subject matter experts across knowledge boundaries. Traditionally, new domains are explored from within a single specialist or a focused group perspective. However, this often introduces bias. Collaboration helps reduce such bias by providing access to a broader range of information sources, increasing the chances for producing new insights in a new domain. However, it also introduces a new problem: variance between the contributions made. Variance makes it difficult to produce a coherent document. In this paper, we report on our observations from developing an initial prototype of the open collaboration platform, and derive propositions about how leader-driven open collaboration helps reduce bias while containing variance.
Comments4 pages. Author's version of the paper published at OpenSym '16
Journal refProceedings of the 12th International Symposium on Open Collaboration (OpenSym '16), pp. 1-4, 2016
