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 

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 is now open. 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: September 8
  • Lightning Talks Due: August 22 — 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.

The Official Report on the 2021 Computational and Autonomous Workflows Workshop (CAW 2021)
is available here:


Computational and Autonomous Workflows Workshop: CAW 2022

Registration for CAW 2022

Your Information

If your ORNL Directorate and Section were missing from the list above, please write them in here.

Workshop Participation

Are you willing to lead a breakout session?(Required)
Are you willing to be a scribe for a breakout session?(Required)
Which day(s) will you attend (Click all that apply)?(Required)
Are you willing to take part in the report writing effort after CAW 2022?(Required)
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.

Sep 12, 2022 – Day 1: FAIR Data Management Workflows (9am-2pm ET)  

9:00-9:10 Welcome, Introduction, and Logistics
9:10-10:00 Invited talk: Hal Finkel, Program Manager, Computer Science, Advanced Scientific Computing Research (ASCR), DOE
10:00-10:45 Invited kick-off : Andrew Gallo (GE)

Lightning Talks

  • “A Reusable Workflow to Pseudonymize Plaintext Datasets” – Ketan Maheshwari
  • “Julia’s value proposition as a workflow language for reusability, productivity and performance portability” – William Godoy
  • “The Galaxy Approach to Reproducible Open Science Workflows” – Sergey Yakubov
  • “DataFlow – A Solution for Enabling Reusable and Automatable Workflows from Scientific Instruments” – Greg Shutt
10:45-11:00 Short Break
11:00-12:00 Breakout sessions: Opportunities and Challenges for FAIR and Data Management Workflows
12:00-1:00 Lunch Break
1:00-1:45 Breakout sessions (continued: short- and long-term goals)
1:45-2:00 Breakout Readouts


Sep 13, 2022 – Day 2: Bettering the Science User Experience (9am-2pm ET)

9:00-9:10 Welcome, Introduction, and Logistics
9:10-10:00 Invited talk: Laura Biven, Data Science Technical Lead, Office of Data Science Strategy, NIH
10:00-10:45 Invited talk: Mark Coletti (ORNL)

Lightning talks

  • “Synthesis and control of atomic features in 2D materials in the automated electron microscope” – Kevin Roccapriore
  • “AutoBEM: A Workflow to Automate Building Energy Modeling” – Andy Berres
  • “Automation of Existing Hydropower Assets Plant Dataset” – Megan Johnson
  • “Tools for Producing and Consuming Terabyte Datasets At Scale” – David Rogers
10:45-11:00 Short Break
11:00-12:00 Breakout sessions: Challenges and Opportunities for Reusable Science-facing Workflows
12:00-1:00 Lunch Break
1:00-1:45 Breakout sessions (continued: short- and long-term goals)
1:45-2:00 Breakout Readouts


Sep 15, 2022 – Day 3: Building a FAIR Workflow Community (12:30pm-4:15pm ET)

12:30-12:35 Welcome, Introduction, and Logistics
12:35-1:30 Invited talk: Beth Plale, Executive Director, Pervasive Technology Institute, Indiana University
1:30-2:15 Theme Panel: Broader Impacts of the Workflows Community

Moderator: Rafael Ferreira da Silva

Michael Crusoe, Katie Knight, Beth Plale, Lavanya Ramakrishnan

2:15-2:30 Break
2:30-3:30 Deep Dive/Tutorial Tracks

  • CWL and standards (Michael Crusoe)
  • Science Capsule: Deep Dive on reproducibility for autonomous science (Lavanya Ramakrishnan)
  • (Katie Knight)
3:30-4:00 Community Building Discussion
4:00-4:15 Wrap-up (plans for report, summaries from breakouts & panels, next steps)



Keynote Speakers

Coming soon


Lightning Talks

We are soliciting lightning talks to be given during the CAW 2022 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 Monday, August 22 AoE, and authors of accepted talks will be notified no later than Monday, August 29. PowerPoint slides are due on Friday, September 9 at noon Eastern Time.

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: