By: Jaimie Patterson

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Headshot of Ilya Shpitser.

Putting the science back in “data science”

Ilya Shpitser fixes common problems found in datasets so that researchers can use them to draw accurate conclusions.

Alexis Battle, director of the Malone Center for Engineering in Healthcare and interim co-director of the Data Science and AI Institute, gives an introduction at the AI Essentials for Congressional Staffers Information Session.

Navigating AI in policy

Johns Hopkins experts recently briefed policymakers about the potential of AI to advance everything from national security to medicine.

A young doctor in an office holds a cell phone and demonstrates feeling her throat.

You gotta have faith . . . in the algorithm

Johns Hopkins researchers determine that explanations and examples improve clinicians’ trust in an AI system that assists with remote strep diagnosis.

Johns Hopkins University Data Science and AI Institute logo over the Johns Hopkins Malone Center for Engineering in Healthcare logo.

Inaugural recipients of DSAI Demonstration Projects Awards announced

Two of the selected projects in medicine and health care are co-sponsored with the Malone Center for Engineering in Healthcare.

Headshot of Taylor Bobrow, Jie Gao, and Danielle Ripsman.

Welcoming the new cohort of Malone postdoctoral fellows

Taylor Bobrow, Jie Gao, and Danielle Ripsman comprise the latest cohort selected for the Malone Postdoctoral Fellows Program, which provides postdoctoral researchers with resources to support clinically-facing research, faculty mentorship and collaboration, and the opportunity to play a role in the Malone Center’s research mission.

Headshot of Brian Caffo.

What policymakers should know about AI

Biostatistician Brian Caffo explains why the Johns Hopkins University hosted a briefing to help congressional staff learn more about artificial intelligence and its many applications.