Join us for CAW 2022

Computational and Autonomous Workflows (CAW) 2022 Workshop

Reduce, Reuse, Recycle: Making Workflows Work for You
September 12, 13, and 15 (rescheduled from April) 

Thanks to a great turnout last year and increasing interest in several key areas, the Computational and Autonomous Workflows (CAW) workshop is returning this fall on September 12, 13 and 15. Oak Ridge has a diverse community dedicated to using workflows and workflow technologies to achieve its goals.  The CAW series is intended to bring together a community that can exchange approaches, challenges, and together drive innovations across the laboratory.  

We hope that you will join us this year for half-day sessions on on September 12, 13 and 15, with a theme of “Reduce, Reuse, Recycle: Making Workflows Work for You”.   The workshop will bring together the ORNL workflow community to explore new and developing opportunities for ORNL leadership in workflows.  We are challenging our community to think and share what it means to “Reduce, Reuse, Recycle” in workflows.

Registration will open soon. Feel free to forward this to any of your colleagues or groups at ORNL who may be interested. We will be soliciting participation through lightning talks, panels, and breakouts as we get closer.

  • Registration Deadline: TBD
  • Lightning Talks Due:  TBD — submit an abstract to the CAW 2022 EasyChair Link

The dial-in information for this virtual event will be sent to registered participants ahead of the meeting.


Why Reduce, Reuse, Recycle?

Why Reduce, Reuse, Recycle?

We have subtitled this year’s workshop “Reduce, Reuse, Recycle: Making Workflows Work for You”.  An obvious question is why?  Why lean into a recycling metaphor for discussions about computational and autonomous workflows and the FAIR open science ecosystem?

It comes from the simple recognition that the term “Reusable” in the FAIR acronym (Findable, Accessible, Interoperable, and Reusable) doesn’t really connect to how scientists, physical, social, computational, experimental and/or computer, think about their workflows.   Reusability is a static attribute — reuse is an action.  Workflows do things. We want to lean into that action and talk more about what the act of reuse should mean for scientific workflows.

So that’s where reduce, reuse, and recycle come in.  We want to think about how we reduce the burden on building (and rebuilding and porting) workflows that you know worked for others in your community.  We want to really think about how we open up a marketplace for sharing and reusing FAIR workflows in the way that data repositories are working for datasets.  We want to push the tool builders to think about ways to repackage and recycle their and others’ codes rather than incurring new software engineering efforts to build from scratch.

There are several ‘R’ words that are important to open science workflows, even before we get to big ones like reproducibility.  So we’re starting with Reduce, Reuse, and Recycle — we hope you will attend and help us bring a focus to a more open and shareable workflow ecosystem!


CAW 2022 Agenda

All times are listed in Eastern Daylight Time, UTC−04:00.

Preliminary schedule — more details are coming soon 


September 12, 2022 – Day 1: 9am-2pm ET

FAIR Data Management Workflows

9:00-9:10 Welcome, Introduction, and Logistics
9:10-10:00 Keynote: Hal Finkel, Program Manager, Computer Science, Advanced Scientific Computing Research (ASCR), DOE
10:00-2:00 Invited and Lightning Talks, Panels, and Breakouts


September 13, 2022 – Day 2: 9am-2pm ET

Bettering the Science User Experience

9:00-9:10 Welcome, Introduction, and Logistics
9:10-10:00 Keynote: Laura Biven, Data Science Technical Lead, Office of Data Science Strategy, NIH
10:00-2:00 Invited and Lightning Talks, Panels, and Breakouts


September 15, 2022 – Day 3: 12pm-4:15pm ET

Building a FAIR Workflow Community

12:00-12:10 Welcome, Introduction, and Logistics
12:10-1:00 Keynote: Beth Plale, Executive Director, Pervasive Technology Institute, Indiana University
1:00-4:15 Panels, and Deep-dive Sessions 


Keynote Speakers

Coming soon


Lightning Talks

We are soliciting lightning talks to be given during the workshop. The lightning talks should be 5 minutes each, 5 slides or less, and based on the workshop theme of “Reduce, Reuse, and Recycle: Making Workflows Work For You”. We are particularly interested in capturing examples around reusable data workflows and improved user/developer experiences.

Short abstracts (~350 words) for the lightning talks should be submitted through EasyChair via the following link: The committee will review the abstracts, contact selected authors, and integrate the ideas into the program for the workshop. We will use EasyChair for the submission of the PowerPoint slides for the talks as well.

Abstracts are due TBD AoE, and authors of accepted talks will be notified no later than TBD. PowerPoint slides are due TBD.

Learn More about FAIR

If you’re eager to learn more about FAIR, feel free to contact any of the organizing committee, or check out some of the following links: