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AUI’s Tim Spuck, co-editor of Einstein Fellows

Recent News

NRAO and Johns Hopkins University Launch ngVLA Partnership

This partnership leverages JHU’s strengths in data science, artificial intelligence, and astrophysics, aligning with their investments in the Data Science and AI Institute and their leadership in multi-messenger astronomy. By combining the NSF NRAO’s expertise in radio astronomy with JHU’s cutting-edge computational resources, the collaboration will tackle the immense data processing and analysis challenges posed by the ngVLA and future astronomical surveys.

AUI’s Tim Spuck, co-editor of Einstein Fellows

Tim Spuck is the AUI STEM Education Development Officer for the National Radio Astronomy Observatory. He earned his master’s degree in science education from Clarion University of Pennsylvania and is nearing completion of a D.Ed. in curriculum and instruction at West Virginia University.

Science, technology, engineering, and mathematics (STEM) education is seen by leaders from across the globe as key to economic success and prosperity. Einstein Fellows attempts to improve the state of STEM education, not only here in the United States, but internationally as well. As the body of STEM-learning research grows, this volume provides the unique perspective of nationally recognized educators who have spent, collectively, more than 400,000 hours at the interface between teaching and learning. Each chapter communicates how its author has implemented a specific STEM practice in the classroom and how the practice might be modified for use in other classrooms, schools, and learning environments.

Recent News

NRAO and Johns Hopkins University Launch ngVLA Partnership

This partnership leverages JHU’s strengths in data science, artificial intelligence, and astrophysics, aligning with their investments in the Data Science and AI Institute and their leadership in multi-messenger astronomy. By combining the NSF NRAO’s expertise in radio astronomy with JHU’s cutting-edge computational resources, the collaboration will tackle the immense data processing and analysis challenges posed by the ngVLA and future astronomical surveys.