The Mental Models Astronomers Use

Astronomers go from studying stars billions of lightyears away to a meeting about the budget. That type of context switching requires a multitude of mental models to think and simplify problems. So, what can we learn from them?
Become a member to listen to the full interview: fs.blog/membership/
ABOUT EMILY
Emily Levesque is an astronomy professor at the University of Washington, where she leads a long-term stellar astrophysics research program studying massive stars. Her group is also working on a data sonification project called TransientZoo that allows participants, including people who are visually impaired, to classify lightcurves via sound.
Emily teaches astronomy and scientific writing at UW, has released a Great Courses lecture class on “Great Heroes and Discovery of Astronomy”, co-authored a textbook on stellar evolution, and wrote the first book of its kind on red supergiant stars. As a physics undergraduate at MIT, Emily discovered the three largest stars in the universe. She has an astronomy PhD from the University of Hawaii and led the discovery of a completely new type of star in 2014. Research by Emily and collaborators inspired changes in graduate astronomy school admissions policies which should reduce barriers for women and students of colour.

Пікірлер