Andrew Flack

IDA analysts strive to communicate clearly and effectively. Good data visualizations can enhance reports by making the conclusions easier to understand and more memorable. The goal of this seminar is to help you avoid settling for factory defaults and instead present your conclusions through visually appealing and understandable charts. Topics covered include choosing the right level of detail, guidelines for different types of graphical elements (titles, legends, annotations, etc.), selecting the right variable encodings (color, plot symbol, etc....

This handbook focuses on methods for data-driven validation to supplement the vast existing literature for Verification, Validation, and Accreditation (VV&A) and the emerging references on uncertainty quantification (UQ). The goal of this handbook is to aid the test and evaluation (T&E) community in developing test strategies that support model validation (both external validation and parametric analysis) and statistical UQ. Suggested Citation Wojton, Heather, Kelly M Avery, Laura J Freeman, Samuel H Parry, Gregory S Whittier, Thomas H Johnson, and Andrew C Flack....

Reusing Test and Evaluation (T&E) datasets multiple times at different points throughout a program’s lifecycle is one way to realize their full value. Data management plays an important role in enabling - and even encouraging – this practice. Although Department-level policy on data management is supportive of reuse and consistent with best practices from industry and academia, the documents that shape the day-to-day activities of T&E practitioners are much less so....

Analyses are reproducible if the same methods applied to the same data produce identical results when run again by another researcher (or you in the future). Reproducible analyses are transparent and easy for reviewers to verify, as results and figures can be traced directly to the data and methods that produced them. There are also direct benefits to the researcher. Real-world analysis workflows inevitably require changes to incorporate new or additional data, or to address feedback from collaborators, reviewers, or sponsors....