Journalist Bill Payden (Jour'57) created the William R. Payden Faculty Excellence Award, the largest faculty award given at the college level at CU Boulder, to recognize superior teaching, research or creative work.
Samira Rajabi, assistant professor of media studies, spent years battling a brain tumor. Her experience of trauma and finding support through social media inspired research she hopes will help others.
It’s inevitable that at some point we must all “get our affairs in order,” and when we do, there are checklists, policies and professionals to help create everything from wills and trusts to advance directives. But a key element—guidance surrounding technology and end-of-life planning—is missing. Assistant Professor Jed Brubaker will work to close this gap through a five-year research project supported by a prestigious NSF CAREER grant.
CMCI faculty Lisa Flores, Angie Chuang and Harsha Gangadharbatla remark on how stories—those we tell, pay for and reimagine—intersect with our identities and industries.
Ever felt like your doctor’s questions missed the mark? Carey Candrian (Comm’04; MComm’07; PhDComm’11), associate professor of health communication at the CU School of Medicine, shares why healthcare needs to be reimagined one sentence at a time.
From undergraduates to doctoral candidates, the college equips students with the knowledge and skills needed to produce, gather, archive, curate, analyze and evaluate the flood of information, messages, data, images, sounds and ideas that populate our complex and rapidly evolving global media landscape. Check out the newest edition of our award-winning magazine.
For about 35 years, the Colorado Scale Model Solar System has delighted campus visitors by shrinking Earth's cosmic neighborhood down to a short walk. Now the exhibit is getting a new update and an interactive smartphone app.
The College of Media, Communication and Information invites you to join the conversation about anti-Asian racism with Professor Jennifer Ho during its upcoming One College Colloquium.
The machine-learning systems that help your phone recommend music, movies, news and more can be biased in ways that leave out artists from underrepresented groups or foster polarization. Professor Robin Burke is working to change that.
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