SMITH BRAIN TRUST – Women still only earn 80 cents for every dollar a man makes.
Margrét Vilborg Bjarnadóttir is an associate professor of management science and statistics in the DO&IT department. Bjarnadóttir graduated from MIT's Operations Research Center in 2008, defending her thesis titled "Data-Driven Approach to Health Care, Application Using Claims Data". Bjarnadóttir specializes in operations research methods using large scale data. Her work spans applications ranging from analyzing nation-wide cross-ownership patterns and systemic risk in finance to drug surveillance and practice patterns in health care. She has consulted with both health care start-ups on risk modeling using health care data as well as governmental agencies such as a central bank on data-driven fraud detection algorithms.
Maryland Smith researchers will conduct data-driven research into treating a condition associated with opioid addiction as part of a joint, UMD cross-campus initiative with the University of Maryland, Baltimore.
SMITH BRAIN TRUST – The coronavirus pandemic is having an impact across industries, sectors and cultures, and prompting people around the world to pose questions and seek answers.
How can we reduce gender bias in the workplace? The question sparked a thoughtful debate at the Girls in Tech Conference in Washington, D.C., on Feb. 27.
Offering insights in the discussion were two professors from the University of Maryland’s Robert H. Smith School of Business, Wendy W. Moe and Margrét Bjarnadóttir.
Equal pay for equal work. It’s a simple notion, but one that’s surprisingly hard to implement without buy-in from upper management and quantitative tools for decision support.
Data is powerful. But how can you use it to offer a more-informed prognosis to cancer patients? New research from Maryland Smith’s Margrét Bjarnadóttir offers a roadmap.
Deloitte hosted seven faculty affiliates of the Smith Analytics Consortium for a meeting of the minds on Jan. 31, 2019, at the company’s Greenhouse in Washington, D.C.
A University of Maryland-led research team will give key insights and next steps in an effort using big data and machine learning to target a U.S. opioid epidemic that claimed 42,000-plus lives in 2016.
Women Leading Research: Louiqa Raschid
Women Leading Research: Margrét Bjarnadóttir