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for Date: April 2019
On behalf of the University of Michigan Library we want to express our most sincere gratitude to Marty and Marilyn Lindenauer for their generous donation that allowed us to acquire a series of books and artifacts for our History of Medicine Collection.
A new exhibit, "Staging Theater: Chinese Operatic Practice and Performance," is opening at Asia Library on Friday, April 12, and continuing through Sunday, June 30.
We are delighted to share our latest annual report, containing highlights from July 2017 to June 2018. Curious where items in our collections traveled for exhibition? Want to learn about a few of our most exciting acquisitions? Interested in what kinds of instruction sessions we do? You can find all that and more in this report.
Heresy is the first of a series of mysteries featuring the real-life 16th century philosopher and scientist Giordano Bruno. In 1583 Bruno goes to Oxford to uncover a conspiracy against Queen Elizabeth I. One of the fellows of the college is found dead, and this turns out to be the first in a series of gruesome murders. Will Bruno find the murderer and put an end to the conspiracy against the queen?
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Design Lab Resident Hallee Thompson reflects on her year as an Open Accessibility Resident.
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Design Lab Resident Hallee Thompson reflects on her own history with accessibility and its importance in many different architectural spaces.
Tomorrow is our final Special Collections After Hours event of the year! This month's theme is "What a Long, Strange Trip It's Been," where we'll be displaying material from the Joseph A. Labadie Collecton related to marijuana. This includes material on recreational and medical uses of marijuana, as well as manuals on its cultivation. Here's a preview of a couple of items we'll have out for the event.
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Design Lab Resident Sophie Niu discusses a workshop she attended on Sketch.
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Design Lab Intern Ana Cuza reflects on a talk from Dr. Kristie Dotson about combining research and activism.
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Design Lab Intern Ana Cuza discusses her work looking at applying machine learning to ecological studies of animal populations.