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 2023 will be held at the Santa Fe Community Convention Center (map).
Call for Posters
- We welcome poster presentations on any data-driven research.
Deadline for abstracts: January 31, 2023 - Publication opportunity: After the conference, all presenters are invited to submit a manuscript for consideration in a peer reviewed special issue of Statistical Analysis and Data Mining, the American Statistical Association’s data science journal.
Deadline for manuscripts: June 13, 2023 - Student prize: The American Statistical Association will sponsor a poster prize; all full-time students are eligible.
Key Dates
- November 2, 2022 December 7, 2022: CoDA lock date — If DOE is covering your costs, submit your CoDA travel request to your organization by this date.
- January 31, 2023: Poster abstracts due. Register for the conference to submit your abstract using the link in your registration confirmation email.
- February 17, 2023: Visitor and clearance requests due for non-LANL participants in the March 10 classified session.
- March 7-9, 2023: CoDA!
- NEW: March 10, 2023: We will hold a classified session (S//NF, no RD) at Los Alamos National Laboratory for cleared CoDA participants.
- June 13, 2023: Manuscripts due if you want to be considered for the CoDA special issue.
Organizing Committee
- Chair: Kary Myers, Los Alamos National Laboratory
- Co-chair: Emily Casleton, Los Alamos National Laboratory
- Co-chair: Mike Grosskopf, Los Alamos National Laboratory
- Ken Dayman, Oak Ridge National Laboratory
- Zoe Gastelum, Sandia National Laboratories
- Marylesa Howard, Nevada National Security Site
- Nancy Lybeck, Idaho National Laboratory
- Ryan McClarren, University of Notre Dame
- Max Morris, Iowa State University
Sponsors
We thank our sponsors for their generous support:
- SambaNova Systems
- Amazon Web Services (AWS)
- Center for NonLinear Studies, Los Alamos National Laboratory
- Information Science and Technology Institute, Los Alamos National Laboratory
