The Data Science and AI Institute has announced the 2025 Data Science and AI Trusted Dataset Award recipients.
The Data Science and AI Institute recognizes that trusted datasets form the core of much of its scholarship and translation and are critical for the development of trustworthy AI systems. Part of the Data Science and AI Institute’s mission is to establish Johns Hopkins as a premier source of trusted datasets for research, scholarship, and translation. The Data Science and AI Trusted Dataset Awards are intended to further this aspect of its mission.
These funding awards support projects that address key aspects of data creation, documentation, quality assurance, and data integrity critical for developing trustworthy AI systems.
Alexis Battle, interim co-director of the Data Science and AI Institute said, “Building high quality data supports the AI ecosystem at Johns Hopkins and throughout the community. We are excited to support the new trusted datasets projects which will advance high quality, reliable data analysis, and AI in the important areas of cancer biology and materials science.”
2025 Data Science and AI Trusted Dataset Award recipients
Moving The Cancer Genome Atlas (TCGA) into the Age of Spatial Biology
Principal Investigator: Janis Taube, Professor in the Department of Dermatology, Department of Pathology, and Member of the Johns Hopkins Kimmel Cancer Center
Co-Investigator: Alexander Szalay, Bloomberg Distinguished Professor and Professor in the Department of Computer Science
Building Trusted Thermodynamic Datasets for Materials Discovery of Metal Iodides
Principal Investigator: Corey Oses, Assistant Professor in the Department of Materials Science and Engineering
