Assessing Risk in Cybersecurity: How Sound Data Science Can Raise the Bar
Patricia Muoio Cybersecurity is a data-driven practice. Protective and responsive decisions are made on the basis of observations of user and system behavior. Artificial intelligence (AI) is used to learn good from bad and thresholds are set to trigger alerts or responses. However, cybersecurity is not currently a data science-driven practice, and the frustratingly slow […]
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Precision Medicine for the Population—The Hope and Hype of Public Health Genomics
JunBo Wu and Nathaniel C. Comfort Public health is the most recent of the biomedical sciences to be seduced by the trendy moniker “precision.” Advocates for “precision public health” (PPH) call for a data-driven, computational approach to public health, leveraging swaths of genomic and other data to inform public health decision-making. Yet, like precision medicine, […]
More Math for Data Scientists, Not Less
Benjamin S. Baumer As undergraduate data science programs continue to spring up across the country, the time has come for mathematical sciences departments to rethink their traditional sequence of courses. As Jo Hardin and Nick Horton (2017) point out, to do nothing is to risk being left behind—an outcome that will leave mathematical sciences departments […]
Winner, Winner, Chicken Dinner…Well, Maybe a Podcast Appearance and Some Swag: Using Contests to Engage Learner Communities
A. John Bailer and Rosemary Pennington The podcast industry was born 20 years ago. Since the launching of the first podcast—”IT Conversations”—in 2003, the industry has exploded. Some experts think it could be a $95 billion industry by 2028. With that growth have come concerns about whether podcasting has become oversaturated. When they have so […]
A Physicist and a Statistician Walk into a Bar
John Durso and Howard Wainer These two old friends walked into a café/bar at the invitation of Elijah, a distant relative, who was both the cook and the bartender. Elijah was delighted to see them. He said he had a vexing problem and hoped that they could help him find a solution.
The Future of Industrial Statistics
David Banks William Edwards Deming had a new vision for industry. He understood that poor quality costs money, and that corporate management was not magically brilliant. Drawing upon his powerful personality, Deming used simple ideas from experimental design, process control, and sampling theory to change the manufacturing world with statistics.
