{"title":"A Leader-Driven Open Collaboration Platform for Exploring New Domains","authors":"M. Weiss, I. Abualhaol, M. Amin","doi":"10.1145/2957792.2957797","DOIUrl":null,"url":null,"abstract":"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 derive propositions about how leader-driven open collaboration is expected to help reduce bias while containing variance. We also offer an initial evaluation of these propositions based on our observations from developing an initial prototype of the open collaboration platform.","PeriodicalId":297748,"journal":{"name":"Proceedings of the 12th International Symposium on Open Collaboration","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th International Symposium on Open Collaboration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2957792.2957797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
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 derive propositions about how leader-driven open collaboration is expected to help reduce bias while containing variance. We also offer an initial evaluation of these propositions based on our observations from developing an initial prototype of the open collaboration platform.