This Task Book is an online database of research projects supported by NASA's Biological & Physical Sciences (BPS) Division and Human Research Program. Beginning in October 2017, the Task Book has included projects within the Translational Research Institute for Space Health (TRISH). The Task Book database also covers BPS projects in the Established Program to Stimulate Competitive Research (EPSCoR) from October 2020 to the present. Completed investigations under the National Space Biomedical Research Institute (NSBRI) may also be found in the Task Book.

Visitors to the NASA Task Book can view project descriptions, annual progress, final reports, and bibliographical listings of publications resulting from NASA-funded studies in Space Biology, Physical Sciences, and Human Research. Visitors can also learn about the potential impact of these studies and the anticipated benefits that such research could offer to Earth.

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This project aims to study and predict the microscale patterns that develop in solidification of pure and alloy systems in microgravity, and investigate and compare the effect of solid-liquid interface anisotropy in microgravity and terrestrial conditions. A multiscale computational framework integr... This project aims to study and predict the microscale patterns that develop in solidification of pure and alloy systems in microgravity, and investigate and compare the effect of solid-liquid interface anisotropy in microgravity and terrestrial conditions. A multiscale computational framework integr... Reduced-order modeling of interfacial dynamics to enable large-scale, mission-length simulations of low-gravity propellant management using CVB PSI data. Image courtesy of Prof. Allen and NASA Task Book In this project, we will leverage the rich microgravity data set in NASA’s PSI system to predict burning behavior of solid materials in partial gravity. The microgravity data will be complemented by the normal gravity data collected in previous and new experiments. In normal gravity when ambient pre... Unsupervised behavior segmentation can identify behaviors related to amyotrophic lateral sclerosis (ALS) progression and other health-related phenotypes. (a) Pose trajectories serve as input to (b) motif discovery algorithms which identify stereotyped patterns of movement. (c) Change in motif usage ... Sex-Specific Physiological and Transcriptomic CNS Responses to Combined Effects of Spaceflight Stressors in Drosophila melanogaster. Image courtesy of NASA Ames Research Center and NASA Task Book.