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News

  
Filtered by: INFO News
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School Library Journal: Retire Those Legacy Approaches. It’s Time to Be Bold and Innovative. | Reimagining Libraries, featuring Mega Subramaniam

July 13, 2020 | Mega Subramaniam

As a part of her crowdsourcing project to reimagine libraries, Mega Subramaniam published her second SLJ article, calling upon peop …

hand placing a drive labelled "Morphic" into a computer

UMD TRACE Center is Leading the Way in Researching and Designing Tools for Digital Accessibility During COVID-19

July 8, 2020 | Hayleigh Moore

The UMD iSchool Trace Research and Development Center is taking up the challenge of accessibility work during the pandemic.

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Medium: Approaches Matter

June 27, 2020 | Emma Dixon

Researching how technology can be used for active engagement to help people with dementia.

headshot of Jocelyn McNamara

Alumni Spotlight: Becoming a Leader in Library and Information Science – Jocelyn McNamara MLS 2016

June 25, 2020 | iSchool News

After many years working as a chef and artist, Jocelyn McNamara, MLS ‘16, was inspired by her love of literature, and a drive to work …

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Prestigious ALISE Awards go to Three UMD iSchool Recipients

June 25, 2020 | Mia K. Hinckle

Dr. Ana Ndumu, Dr. Mega Subramaniam, and PhD Student Shandra Morhouse receive awards for their research work in library and informati …

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Medium: What to Expect When Non-Experts Train AI

June 22, 2020 | Jonggi Hong

Research on machine teaching in which non-experts teach a model through a teachable interface.

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Medium: Devices All The Way Down

June 22, 2020 | Niklas Elmqvist

Professor and Director of the HCIL, Niklas Elmqvist, reflects on his NSF Career Project.

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Medium: HCIL 2019-2020 News Roundup

June 22, 2020 | Huaishu Peng

UMD Human-Computer Interaction Lab’s (HCIL) 2019-2020 accomplishments

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Press Release: Naeemul Hassan Awarded $228,000 NSF Grant For Collaborative Project

June 22, 2020 | UMD Philip Merrill College of Journalism

Dr. Naeemul Hassan and collaborators aim to design and develop computational models to automatically detect video clickbait.