Schedule
Open Sessions
The first two sessions are open to anyone curious to know more and to brainstorm ways to connect machine learning with their research.
Applications of AI that Every Scholar Can Use
This one-hour workshop will feature helpful tools and techniques to connect generative AI with everyday tasks for research and scholarship. Participants will leave the session with knowledge of tools and working code examples that they can adapt to their needs and research materials.
The Anatomy of a Chatbot
This one-hour workshop will detail how modern AI models learn to generate text, how chat interfaces work, and how LLMs use tools and reasoning in agentic systems. Participants will gain a better understanding of what's taking place within generative AI models and how that shapes their capabilities and limitations.
Fellows Sessions
The remaining sessions will follow a fellowship model, requiring that participants have a specific research project and attend all three sessions. We will work together as a cohort to identify productive uses of AI methods as well as areas of ethical and legal concern. Participants will leave the fellowship with a better understanding of how new capabilities may or may not benefit their research, as well as working code examples and experience evaluating machine learning methods for specific research tasks.
AI and Scholarly Research
From Proof of Concept to Research Software
Evaluation and Iterative Development with AI
Location
Fellows Application
In the Responsible AI sessions in October to December you will contribute to a shared project that will walk you through the process of AI research software development, from ideation to protoyping, evaluation and finally functioning research software. To participate, you will need to attend all three sessions. This will be hands-on and collaborative work. You do not have to be a programmer or have prior experience with AI. There is limited space. Please complete the form below to be considered for this fellowship.