SUMMARY This project seeks to support Research Software Engineer (RSE) Katherine Acevedo’s efforts to develop open science tools to better measure and train cognition. Acevedo is currently the Director of Development at the Brain Game Center for Mental Fitness and Well-Being and in this role supports a range of NIA-funded projects aimed at developing both assessment and interventional materials to advance the understanding cognitive aging, identifying early-stage behavioral biomarkers of ADRD, and promoting cognitive reserve. This work is demonstrated in the following funded projects: U19AG066567 (CoI: Seitz), R01 AG076157 (PIs: Green, Jaeggi & Seitz), R21AG069428 (PIs: Jaeggi & Seitz), R01MH111742 (PIs: Jaeggi & Seitz), R01AG077725 (PIs: Koener & Seitz), R01AG063952 (Green, Jaeggi, & Seitz), R61/R33AG073668 (Jaeggi & Seitz), R01EY031226 (PIs: Seitz & Green), and R21/R33AG074497 (Anguera, Jaeggi, & Seitz). Acevedo leads development of the Portable Adaptive Rapid Testing (PART) software application that supports these projects. The PART system is available on the Apple and Google Play stores, and currently has over 100 measures that address hearing, vision, cognitive control and executive functions, and decision making. It includes measures that are typically used in basic research, but it also includes standard neuropsychological measures and those that are used for clinical research studies. PART contributes a number of novel measures that don’t exist in platforms (such as NIH Toolbox, TabCat, or Mobile Toolbox), particularly measures of central auditory and visual processes. Further, a unique strength of the PART platform is its high degree of configurability, which facilitates the development of new tasks, refinement of existing tasks, adapting tasks to diverse populations, and also allows testing how variants of task structure impact psychometric properties of common tasks. PART is rapidly emerging as a key tool to support open science and Acevedo has been desig