Eberly News
Articles for the month of January 2019
Unearthing an ice age in the African desert
A field trip to Namibia to study volcanic rocks led to an unexpected discovery by West Virginia University geologists Graham Andrews and Sarah Brown.
The heart and the brain: Connecting social work and public administration
Karissa Bjorkgren, a second-year student in the Master of Social Work and Master of Public Administration programs at West Virginia University, is dedicated to addressing mental health in rural communities.
Rethinking how we teach mathematics
As an undergraduate student, Krista Bresock never imagined that she would pursue a degree in mathematics. However, after an eye-opening conversation with a teaching assistant during an office hour visit, Bresock decided to take additional math courses and quickly developed a passion for the subject.
WVU students receive NASA Space Grant fellowships
Eight students from West Virginia University’s Eberly College of Arts and Sciences have been awarded undergraduate fellowships from the NASA West Virginia Space Grant Consortium for the 2018-2019 academic year.
WVU’s Intensive English Program to return to Eberly College
As a result of discussions between the Office of Global Affairs, the Eberly College of Arts and Sciences, the Department of World Languages, Literatures and Linguistics and the Office of the Provost, West Virginia University’s Intensive English Program will return to its original home in the Eberly College.
WVU’s Lorimer named associate dean for external research development in the Eberly College of Arts and Sciences
Duncan Lorimer has been named the associate dean for research in the Eberly College of Arts and Sciences at West Virginia University.
WVU receives $2.2 million software gift from Petroleum Experts Limited
For more than a decade, geology students at West Virginia University have used the same advanced software used by oil and gas companies worldwide, expanding their marketability for industry jobs.
WVU physics student develops machine-learning model for energy and environmental applications
A West Virginia University physics student has created a new machine-learning model that has the potential to make searching for energy and environmental materials more efficient.