Deploying AI across the Research Life Cycle

Fri, 06 Feb 2026 00:00:00 +0000

Deploying AI across the research life cycle

Last summer, I gave a workshop to the staff on augmenting the research proposal process with AI. Thought I’ll sketch out what an AI-assisted research workflow might actually look like for both quantitative and qualitative work. One caveat before we get into it. This is a map of possibilities, not a prescription. What you can actually do depends on your data, your project, and what UNC Charlotte currently permits. Before trying any of this, check what the university’s Office of OneIT has published on approved tools and data classification. That guidance sets the real boundaries. This is more of a documentation of experiments that hopefully will be part of how our AI strategy takes shape.

Some Thoughts on AI-Augmented Community Research at the Charlotte Urban Institute

Tue, 11 Nov 2025 00:00:00 +0000

I thought of compiling a few thoughts on using AI at the institute or broadly in organizations similar to ours. I’ve been using AI tools in my research for over a year and I still can’t decide if I’m more excited or more unsettled but I feel it’s more of the former these days. But this ambivalence feels like the right starting point for a conversation about where we, as an institute built on community trust and research, actually want to go with this. When I say AI, I mean the generative AI kind.

AI on Kailas Venkitasubramanian

Deploying AI across the Research Life Cycle

Deploying AI across the research life cycle

Some Thoughts on AI-Augmented Community Research at the Charlotte Urban Institute