A Workshop of the Partnership for Southern Excellence and Education in Data Science
A Workshop of the Partnership for Southern Excellence and Education in Data Science
sys2025: Systematic and Measurement Errors across the Sciences -
AstroStatistics and Data Science
Gulf State Park, Gulf Shores, AL
Friday, Nov. 14 - Monday, Nov. 17, 2025
(NSF support through the EPSCoR Workshop program is now confirmed)
sys2025 is the second in a series of astrostatistics and data science workshops in the Southeastern part of the U.S. After the successful iid2022 workshop on count data in the Fall of 2022 at the Lake Guntersville State Park, sys2025 focuses on the topic of systematic errors at another beautiful locale, the Gulf State Park lodge in Gulf Shores, AL, on Nov. 14-17 (Friday through Monday), 2025.
Systematic errors are everywhere across the sciences, yet they are often ill-defined or misunderstood, especially from a statistical point of view. This workshop aims to bring together data science practitioners --- from astronomy/physical sciences and other fields, such as biostatistics, econometrics and more --- with statisticians and machine-learning experts. The workshop is structured with a series of introductory review lectures from established professionals, and shorter presentations by participants of all levels of experience, with emphasis on participation of student and early-career participants, especially from traditionally underrepresented groups. The National Science Foundation EPSCoR program will to support the participation of students and early-career participants (see Registration for details).
The workshop is intended as an in-person meeting, with time for social interactions and networking. For those unable to travel, there is a remote participation option.
sys2025 will also offer an opportunity to publish peer-reviewed papers on the topic of systematic errors as part of a Research Topic for the journal Frontiers in Astronomy and Space Science/Astrostatistics. See the Program/Proceedings tab for more information.
Statistical Theory of Systematic Errors
Frequentist and Bayesian methods
Model misspecification and systematic errors
Overdispersed distributions as a source of systematic variance
Applications
Astronomy and the physical sciences
Longitudinal data: Time series, time variability, transient phenomena
Cross-sectional data: Spectral analysis
Counting data: the Cash statistic, fitting with Gaussian data
Systematic errors in regression and parameter estimation
Biostatistics, econometrics, behavioral sciences etc.
Computational Methods and Software
Spectral and time-domain analysis software: XSPEC, SPEX, sherpa, threeML, Julia, SpectralFitting.jl etc.
Regression and error estimation: SciPy, R MATLAB
Markov chain Monte Carlo (MCMC) and other sampling methods: cosmoMC, emcee, pymc, etc.
Machine Learning (ML) Methods
Epistemic and aleatoric uncertainties in ML
Large data and surveys
Improving the accountability of ML methods
Registration is now open!
Fill out your applicant information in the Google Form. This is the most important step.
Click the "Registration Portal" link below
Deadline for abstract submission: Sept 30, 2025.
Early Career Participation
Select funding is available for students and early-career participants, click the button below to find out more
About the Partnership for Southern Excellence and Education in Data Science (P-SEEDS): P-SEEDS is a new partnership among universities in the southeastern region of the U.S., with the mission to further research, job training and educational opportunities in Data Science. Emphasis is placed on data science activities for early-career and traditionally underrepresented groups. Current participants are the University of Alabama in Huntsville, Alabama A&M University, Mississippi State and Louisiana State University. (Contact M. Bonamente at bonamem@uah.edu for additional information or inquiries)
Click Here to Book with the Lodge
For more information on the venue, click the button below
Click the "Slack Channel" button below to be redirected to the sys2025 Slack Channel