Research Interests: Goodman's work spans astrophysics, science education, data science,  data visualization, and prediction. Her astrophysical research is aimed at understanding how interstellar gas arranges itself into new stars and on new techniques for measuring the structure of the Galaxy.  She is the leader and founder of several efforts that use the WorldWide Telescope software to help teach science, and to make discoveries about the Universe.  Goodman also leads the effort creating the high-dimensional linked-view  exploratory data visualization software known as "glue," as well as the HarvardX course called "PredictionX," which traces the history of prediction from ancient times to modern simulations.  Many of Goodman's efforts come together under the umbrella of the  "Seamless Astronomy," collaboration based at the CfA, which she also organizes.  

Publications: ADS, astro-ph