Can centralized IT decision-making protect an organization from cybersecurity breaches?

It's the 17th annual Summer Reading List for Business Leaders – your summer reading guide as recommended by Maryland Smith's faculty experts.

Research offers new approach for data-driven predictive analytics models as an alternative or compliment to AI approaches.

New research from Maryland Smith’s Michael C. Fu offers a rigorous way to analyze statistics generated from simulation models.

Locating protective equipment and allocating resources to meet needs have been key challenges in combating the pandemic. Here's how Maryland Smith's Louiqa Raschid is helping.

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

At a time when data can influence much of our lives, it turns out that the data that researchers collect, broadly speaking, tend to be based on men’s – more than women’s – experiences.

Big regulatory shifts and advancing technology in healthcare call for big shifts in healthcare marketing, where creating value for patients is paramount, say researchers at Maryland Smith’s Center for Health Information and Decision Systems.

Contagious diseases can spread quickly, and misinformation can too. Here's how to find information from trustworthy sources during a public health crisis.

Ready to get cozy and catch up on some of the movies and TV shows you've missed? Maryland Smith faculty have some recommendations.