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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.
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论文共 364 篇作者统计合作学者相似作者
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arxiv(2024)
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Ralf Konietzka,Alyssa A. Goodman,Catherine Zucker,Andreas Burkert,João Alves,Michael Foley,Cameren Swiggum, Maria Koller,Núria Miret-Roig
Naturepp.1-4, (2024)
ASTROPHYSICAL JOURNALno. 2 (2024): 153
Zenodo (CERN European Organization for Nuclear Research)pp.265-274, (2023)
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2023 IEEE VISUALIZATION AND VISUAL ANALYTICS, VISpp.36-40, (2023)
Lecture Notes in Computer Sciencepp.265-274, (2023)
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M. T. Valdivia-Mena,J. E. Pineda, D. M. Segura-Cox,P. Caselli,A. Schmiedeke,S. Choudhury, S. S. R. Offner,R. Neri,A. Goodman,G. A. Fuller
Astronomy and Astrophysics (2023): A92-A92
arXiv (Cornell University) (2023)
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