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College of Information Professor Jennifer Golbeck's six rescue retrievers are featured in her new book, "Think Like a Dog," which delves into how to better understand our canine companions through positive psychology. (Photo courtesy of Jen Golbeck)
Maryland Today: Want to ‘Think Like a Dog?’ Try This UMD Prof’s New Book.
Golden retriever rescuer and UMD professor Jennifer Golbeck explores what dogs can teach us about living well
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From Evidence to Action: When Research Helps Inform Policy
INFO researchers are informing the regulations and legislation that shape access to technology, education, and public life
With a new round of seed grants. the Artificial Intelligence Interdisciplinary Institute at Maryland is supporting UMD faculty projects to improve human health, support students, create fairer AI systems and much more. (Illustration by Adobe Stock) Photo via Maryland Today.
Maryland Today: AIM Seed Grants Support 11 AI Research Projects
INFO researchers are leading five of 11 interdisciplinary projects selected for UMD’s 2026 AIM AI Research Seed Awards
Left to right: UK Minister Kanishka Narayan, Lee Tiedrich, Singapore Minister Josephine Teo, Yoshua Bengio, Alondra Nelson, Adam Beaumont, Director of the UK AI Security Institute, present the International AI Safety Report at the AI Impact Summit in India.
UMD INFO College’s Lee Tiedrich Leads Global Efforts to Shape AI Policy
As UMD’s inaugural AIM Fellow, Tiedrich helps build the standards and systems needed to turn AI policy into effective practice
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Amtrak Uses INFO Students to Get Electronic Records on Track
A partnership with INFO’s iConsultancy is helping the railroad tackle a growing information governance challenge
Kelly Hoffman, MLIS '07, Phd '23
Alumni Profile: How a Love of Information Led to Capitol Hill
PhD and MLIS alum Kelly Hoffman found her calling in library science—then spent two decades building toward her dream job
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When the Feed Becomes the Front Line
A new generation of AI tools is changing how analysts and aid workers make sense of war in real time—if they can learn to trust what …
