SMITH BRAIN TRUST — By using advanced baseball statistics, it's possible to predict the monetary value of baseball players' future contributions — and avoid awarding massive multiyear contracts to players whose best days are behind them, according to new research from the Robert H.

Research by Margrét Bjarnadóttir Merging Prediction Modeling with Optimization to Improve Appointment Outcomes

Potential pitfalls of machine learning include bias and unequal benefits. In healthcare, these stakes are especially serious.

Women still only earn 80 cents for every dollar a man makes. That wage gap drives much of Margrét Bjarnadóttir’s research, which she discusses in a recent Q&A on ThriveGlobal. 

In our video series, Maryland Smith experts share their insights on the broadly reaching impacts of the coronavirus pandemic.

Equal pay for equal work is a simple notion, but surprisingly hard to implement without buy-in from upper management and quantitative tools for decision support.

A new predictive app that culls through medical data can offer a better answer to many cancer patients’ top question: “What’s my prognosis?”

To better understand the subprime mortgage debacle's role in the financial crisis of 2008, Smith School professor Louiqa Raschid says regulators must dissect the underlying financial supply chain.

A new app that culls through medical data can offer a better answer to many cancer patients' top question: "What's my prognosis?" Having an accurate answer helps them choose the best treatment. Smith School professor Margrét Bjarnadóttir and a team of researchers developed the app and patient-specific prediction method.