CoDA 2027: March 9-12, 2027 | Santa Fe, New Mexico

CoDA 2027: March 9-12, 2027 | Santa Fe, New Mexico

Theme: Exploring Data-Focused Research across the Department of Energy

Join us for the Conference on Data Analysis, highlighting data-driven problems of interest to the Department of Energy. Talks and posters will feature research from the Department of Energy national laboratories, academia, and industry.

Held biennially since 2012, CoDA is hosted by Los Alamos National Laboratory. CoDA 2027 will be held at the Santa Fe Community Convention Center (map).

Invited Sessions

CoDA 2027 features six invited sessions March 9-11, 2027:

  1. Space and flying things
  2. Infrastructure intelligence
  3. Materials by design
  4. Old school #2: Revenge of the statisticians
  5. Workflows and agents
  6. Causal Inference

We will hold a classified session (S//NF, no RD) at Los Alamos National Laboratory for cleared CoDA participants on March 12, 2027.

Key Dates

Register by January 31, 2027 [add registration link]

Already registered?

  1. January 31, 2027: Poster abstracts due, 1,500 character limit
  2. 9-12 March 2027: CoDA!
  3. June 14, 2027: To be considered for the special CoDA journal issue, submit your manuscript by this date

Registration Details

Attendance cap: 320

  • $100 full-time students
  • $120 Los Alamos National Laboratory employees
  • $295 all others

You must register for CoDA in order to submit an abstract.

Register Now

CoDA is brought to you by the National Institute of Statistical Sciences

Contact Us codaorganizers@lanl.gov

Organizing Committee

  • Co-chair: Emily Taylor, Los Alamos National Laboratory
  • Co-chair: Mike Grosskopf, Los Alamos National Laboratory
  • Sara Ann Mason, Los Alamos National Laboratory
  • Sarah Akers, Pacific Northwest National Laboratory
  • Laura Wendelberger, Lawrence Livermore National Laboratory
  • Ken Dayman, Oak Ridge National Laboratory
  • Zoe Gastelum, Sandia National Laboratories
  • Marylesa Howard, Nevada National Security Site
  • Ashley Shields, Idaho National Laboratory
  • Isa Ferral-Wolf, National Laboratory of the Rockies
  • Venkat Raman, University of Michigan
  • Andrew Thomas, University of Iowa

Call for Posters

  • We welcome poster presentations on any data-driven research.
    Deadline for abstracts: January 31, 2027
  • Register first, then submit your abstract [add link to registration form]
  • Abstracts have a 1,500 character limit
  • Publication opportunity: After the conference, all presenters are invited to submit a manuscript for consideration in a peer reviewed special issue of Data Science in Science. 
    Deadline for manuscripts: June 14, 2027
  • Student prize: National Institute of Statistical Sciences will sponsor a poster prize; all full-time students are eligible. 

Schedule - Coming Soon!

Posters

The two poster sessions at CoDA will showcase data-focused work arising from a wide range of application areas:

  1. Our poster session and opening mixer on the first evening will feature student and postdoc research.
  2. The poster session and dinner mixer on Day 2 will present work by more senior researchers.

Both days:

  • 5:30-6:30 p.m. Odd-numbered posters
  • 6:30-7:30 p.m. Even-numbered posters

Call for Posters

  • We welcome poster presentations on any data-driven research.
    Deadline for abstracts: January 31, 2027
  • Register first, then submit your abstract [add link to registration form]
  • Abstracts have a 1,500 character limit
  • Poster size: Your poster should fit within the 3 feet high x 4 feet wide display area
  • Printing your poster: Instead of carrying your poster on an airplane, consider printing it locally at Santa Fe's FedEx on Guadalupe, near the Convention Center (Google Maps Link)
  • We'll provide velcro fasteners to attach your poster to the panel
  • Publication opportunity:After the conference, all presenters are invited to submit a manuscript for consideration in a peer reviewed special issue of Data Science in Science. 
    Deadline for manuscripts: June 14, 2026
  • Student prize:The American Statistical Association will sponsor a poster prize; all full-time students are eligible. 

Special Issue

Peer Reviewed Special Issue

The American Statistical Association journal Data Science in Science will publish a special issue featuring work presented at CoDA. All poster presenters and invited speakers can submit a manuscript by June 14, 2026 to be considered for this peer reviewed special issue.

Note that Taylor & Francis plans to waive the article publishing charge for the CoDA special issue.

See the journal's call for papers for more details and a submission link. [Omit until link is available]

 Links to past special issues:

  • CoDA 2025 [incoming]
  • CoDA 2023, Statistical Analysis and Data Mining, Volumes 17, 2024 and 18, 2025
  • CoDA 2020, Statistical Analysis and Data Mining, Volume 14, 2021
  • CoDA 2018, Part Iand Part II, Statistical Analysis and Data Mining, Volume 12, 2019
  • CoDA 2016, Part I, Part II, Part III, Statistical Analysis and Data Mining, 2017
  • CoDA 2014, Statistical Analysis and Data Mining, Volume 8, 2015
  • CoDA 2012, Technometrics, Volume 55, 2013

Guidance for Authors

We welcome articles written for a general technical audience that will include both “data scientists” and “scientist scientists” (subject matter experts). To reach this broad audience, we ask that authors discuss both the context of their problem and the methods they've chosen as discussed below.

Context

If your analyses arise in the context of a particular application or problem, provide background for that application in a way that’s accessible to a non-expert. At a minimum this means defining all your terms and spelling out your acronyms the first time you use them.

Even better would be to provide the motivation that’s leading you to conduct your analyses. For instance, what questions are you trying to answer? What makes these questions hard to answer? How will your data help answer those questions? How were your data collected or generated or observed?

Assume that your readers will know nothing about your area, so provide enough detail for them to follow the logic and recognize the success of your analyses.

Methods

While we don’t require you to develop new methodology for this special issue, we do want you to demonstrate that you’ve chosen your methods in a thoughtful way that’s appropriate for your data and application.

To that end, present plots of your data or other types of exploratory data analysis that demonstrate why the method you chose is appropriate. What are the characteristics of your data? Do the characteristics of your data match the assumptions of the method you chose? If not, how are you justifying your use of the method, or how are you modifying your interpretation of the results?

As with the context, assume that your readers will know nothing about the methods you chose and give enough information for a layperson to understand what you’re doing and why. Provide definitions and references. You don’t need to replicate an entire textbook entry in your paper, just provide the intuition and motivation for your choices.

Accommodations

[2025 info for reference; NISS needs to replace with the relevant information for 2027]

We've lined up several room blocks in downtown Santa Fe for CoDA participants:

Note that some of these are above Santa Fe's February lodging rate of $122. The Code of Federal Regulations allows for reimbursement for up to 300% of the per diem rate; confirm with your home organization that they follow this guidance.

Mailing list

To stay up to date on all things CoDA, subscribe to our mailing list:

  • To subscribe, email listmanager @ lanl.gov with subscribe coda in the body of your message.
  • To unsubscribe, email listmanager @ lanl.gov with unsubscribe coda in the body of your message.
  • If your organization's mail system doesn't allow interaction with listmanager @ lanl.gov, send an email to meeting-coda25 @ lanl.gov to be added or removed.