From Data Capture to Insight: Applying AI Across JHU Research
This session introduces AI tools and platforms available to researchers at Johns Hopkins University and explains how to access and use them responsibly. We will map AI capabilities to common research tasks, such as literature discovery, data extraction, analysis support, and documentation, focusing on institutionally supported environments such as HopGPT and secure cloud-based AI services. These environments can support many research workflows while meeting IRB, HIPAA, and data governance requirements. We will also highlight domain-specific tools, a secure system for data collection, and study management. New AI features in these tools can improve data quality and reduce manual work.
In addition to tools, the session will introduce a simple framework for responsible AI use, addressing the questions of reliability, transparency, and accountability. During the final portion we will ask participants to share their use cases, challenges, and needs with the goal of identifying priorities for tools, training, and support within the ICTR community.
Speakers:
Kelly Lyman and James Weatherall
JHU Research Information Technology, IT@JH
Inna Kouper
JHU Data Services
Sheridan Libraries
Links: