Author: Gina Wilson

This week’s tip introduces a simple framework for thinking about how deeply AI is integrated into your work, and what the tradeoffs are at each level.

There are a number of tasks that can be accomplished using Vandalizer. From summarizing requests for funding, verifying proposal compliance, to extracting data from documents.

Context engineering is the practice of deliberately designing an information environment for an AI to operate within. The key distinction between prompt engineering (PE) and context engineering (CE) is that PE is centered around asking smart questions while CE is about building smarter environments for the AI to work in. 

f you’re receiving this email, you’re an official member of the AI4RA Community of Practice, a listserv connecting research administrators, IT personnel, data scientists, and AI engineers from across the country. With AI evolving as fast as it does, having a community to turn to with questions, ideas, and hard-won lessons makes a real difference. 

One of the most common questions we hear from institutions exploring Vandalizer deployment is “What hardware do we actually need?” and the Cluster Configurator addresses exactly that.

This year’s NCURA Region VI/VII Annual Meeting, themed “Saddle Up for Success,” convenes research administrators from across regions VI and VII (and beyond) to tackle the shifting regulations, technologies, and expectations shaping research administration.