The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of these challenges and lay the groundwork for transforming workflows research and development, the WorkflowsRI and ExaWorks projects partnered to bring the international workflows community together. This paper reports on discussions and findings from two virtual "Workflows Community Summits" (January and April, 2021). The overarching goals of these workshops were to develop a view of the state of the art, identify crucial research challenges in the workflows community, articulate a vision for potential community efforts, and discuss technical approaches for realizing this vision. To this end, participants identified six broad themes: FAIR computational workflows; AI workflows; exascale challenges; APIs, interoperability, reuse, and standards; training and education; and building a workflows community. We summarize discussions and recommendations for each of these themes.

翻译：科学应用工作流程体系的景观臭名昭著地与数百个看似相当的工作流程系统、许多孤立的研究主张和陡峭的学习曲线混杂在一起。为了应对其中一些挑战并为转变工作流程研究与开发打下基础,工作流程国际研究所和ExaWorks项目合作将国际工作流程界聚集在一起。本文件报告了两次虚拟“工作流程社区峰会”(2021年1月和4月)的讨论情况和结论。这些讲习班的首要目标是发展对最新动态的看法,确定工作流程界的关键研究挑战,阐明潜在社区努力的愿景,并讨论实现这一愿景的技术方法。为此,与会者确定了六大主题:FAIR计算工作流程;AI工作流程;超规模挑战;APIs、互操作性、再利用和标准;培训和教育;以及建设工作流程界。我们对这些主题中的每一个主题总结了讨论和建议。