Artificial Intelligence Community

 View Only
  • 1.  Rice Google Workspace

    Posted Fri December 05, 2025 01:07
    Edited by James Hayward Fri December 05, 2025 01:08

    Several months ago, Rice University signed a contract with Google for a Rice Google Workspace. Over the last couple of months, several staff have started to see (and apply) the phenomenal potential of NotebookLM and Google Gems, especially with Gemini Pro activated. Over the course of the last month, it has become extremely clear that these tools have astonishing transformative potential as they require no prior coding or AI tool development knowledge to implement in a series of incredible ways. In particular, NotebookLM has the potential to completely transform university operations, service provision, risk management, staff training, change management, and compliance overall. If any of you have been engaging with NotebookLM and Gems I'd be hugely interested in the exchange of ideas with you.  In just a few days, we built a tool that functions at the level of a 20 yr + experienced RA in terms of the quality and consistency of the responses (including accurate citation) that it was giving to all manner of questions. Has anyone had any similar breakthroughs (or run into issues) with using the Google Workspace for Research Admin support?



    ------------------------------
    James Hayward
    Director of Post Award Management and Technology
    Rice University
    Houston, TX
    (832) 421-7027
    ------------------------------



  • 2.  RE: Rice Google Workspace

    Posted Fri December 05, 2025 08:41

    Thanks so much, James, for sharing your experience with NotebookLM-this is incredibly exciting to hear. We're beginning to explore NotebookLM at Yale as well, and your reflections resonate strongly with what we're seeing across institutions as these integrated AI ecosystems mature.

    Within Yale, we've been piloting a range of AI tools across our Microsoft Co-Pilot, Google Gemini, and 3-rd party environments (Open AI ChatGPT, Anthropic Claude, etc.), and have begun targeted AI solutions for expenditure review, document intelligence, staff training, and process automation. The no-code/low-code nature of tools like NotebookLM really does open the door for broad operational impact, particularly in areas like compliance, service delivery, and knowledge management.

    I also know that colleagues at other institutions-including Lisa Wilson at Emory, who is leading some excellent work in this space-are seeing similar transformative potential.

    I'd welcome the opportunity to exchange ideas and compare use cases. It feels like we're collectively entering a new phase of what AI-enabled research administration can look like.

    Thanks,



    ------------------------------
    Youyou Cheng
    Deputy Director, SPFA
    Yale University
    25 Science Park
    New Haven, CT 06511
    203-785-4370
    youyou.cheng@...
    ------------------------------



  • 3.  RE: Rice Google Workspace

    Posted Fri December 05, 2025 10:00

    We are certainly at that tipping point, and perhaps already past it in terms of having founded confidence in some of the licensable generative AI tool offerings like NotebookLM. The big question on the near horizon is operationalization and implementation. How do we configure, maintain, and deploy to workflows most effectively? How do we use these tools to be a force multiplier in support of existing and future staff efficiency?



    ------------------------------
    James Hayward
    Director of Post Award Management and Technology
    Rice University
    Houston, TX
    (832) 421-7027
    ------------------------------



  • 4.  RE: Rice Google Workspace

    Posted 30 days ago

    Thank you, James, for sharing this with us. I'm exploring similar directions-looking at how AI tools can improve operational efficiency and streamline or automate certain business workflows.

    We don't use Google in our environment yet, but since we're a Microsoft campus, I've been working with the Power Platform, including Power Automate and Power Apps. I recently built and deployed my first learning project to automate an internal management approval workflow, and I'm now working on an automated intake system and a reporting dashboard.

    While the tools work well within the Microsoft ecosystem, I've found it challenging to integrate them with our Electronic Research Administration (ERA) systems, which limits how broadly we can apply them. Since this is still new territory for many of us, I've been handling data security and privacy with extra care.

    With that in mind, I'm very interested in hearing updates on your work with Google.

    Also, for anyone who may not be familiar with it, here is the link to AI4RA, an NSF-funded project led by the University of Idaho. They've developed an excellent TaMPER Framework worksheet for designing AI workflows in research-I'm excited to see how their work continues to evolve.

    https://ai4ra.uidaho.edu/resources/

    Thanks!



    ------------------------------
    Steven Wen
    Data Analyst
    University at Buffalo
    Buffalo, NY
    (716) 645-4411
    ------------------------------