  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.
