Solutions Showcase Series - May Double Header!
Jessica Crouch
The AI Discussions Working group is pleased to announce a second Solutions Showcase for May!
We are welcoming Christine Kim, the Senior Director, Strategic Partnerships, at the Mozilla Data Collective (MDC), who will share info on this new initiative from Mozilla. MDC is a new initiative from Mozilla designed to give people and communities more control over how their data is accessed and used in AI ecosystems. If you have not heard of this project, I encourage you to sign up for this event to see how it is changing the face of data ownership in the face of AI.
Details:
Date: Wednesday, May 27th, 2026
Time: 11:00am - 12:00pm Eastern
Location: Zoom - https://lyrasis.zoom.us/meeting/register/NnvSGv3KRJaj8g11b-Mf7g
-
The session will feature a live demo and time for Q&A.
-
Demos will span a diverse range of technical approaches, including open and non-open source solutions.
To read more about our presenter, and find more details about the Solutions Series check out our wiki space: https://wiki.lyrasis.org/display/cmtygp/Solutions+Showcase
Also don’t miss out on tomorrow’s Showcase (Wed., May 13 @ 9am Eastern), featuring LibLynx’s Bot Filter. Registration is still open: https://lyrasis.zoom.us/meeting/register/3nhNv8SCTAOzG_cB5YCXOA
The Solutions Showcase Series is organized by the AI Discussions Working Group, a collaborative initiative that emerged from shared concerns about the impact of AI-driven web harvesting on academic institutions. While our initial focus was on academic repositories, we’ve since expanded our scope to include all corners of the GLAM sector.
Have a solution to share?
We’re actively looking for additional presenters! If your institution has addressed AI bot scraping in a creative or effective
way, we’d love to feature your work. Please reach out to Arran Griffith at
arran.g...@lyrasis.org to
book a presentation slot.
Arran Griffith, on behalf of The AI Discussions Group
Jessica Crouch
Colleagues,
We are back this month with another instalment in the AI Solutions Showcase Series! Join us Wednesday, July 24th @12pm Eastern for the 9th Solutions Showcase! The Solutions Showcase Series is a virtual event series bringing together individuals and institutions from across the GLAM sector to demo practical solutions they've implemented to mitigate the negative impacts of AI bot harvesting on their systems, including repositories, websites, catalogues, and more.
Details:
Solutions Showcase #9 - California State University & The University of Vienna
Date: Wednesday, July 24, 2025 @ 12pm Eastern
Registration: https://lyrasis.zoom.us/meeting/register/zDuYiyZoT5SslFTsbj8H7A
Cost: FREE
Location: Zoom - https://lyrasis.zoom.us/meeting/register/zDuYiyZoT5SslFTsbj8H7A
-
Each session will feature a live demo and time for Q&A.
-
Demos will span a diverse range of technical approaches, including open and non-open-source solutions.
The first session will feature demos by representatives from California State University and the University of Vienna.
California State University - Presenter David Walker will share information about CSU's current Cloudflare implementation and discuss some of the differences they have experienced across different Cloudflare offerings.
The University of Vienna - Presenters Rastislav Hudak and Matthias Heiserer will discuss the different approaches they are currently implementing to help control their bot traffic.
To read more about the presenters, and find more details about the Solutions Series check out our wiki space: https://wiki.lyrasis.org/display/cmtygp/Solutions+Showcase
The Solutions Showcase Series is organized by the AI Discussions Group, a collaborative initiative that emerged from shared concerns about the impact of AI-driven web harvesting on academic institutions. While our initial focus was on academic repositories, we’ve since expanded our scope to include all corners of the GLAM sector.
Read more about our WG and find out how to get involved: https://wiki.lyrasis.org/spaces/cmtygp/pages/364743611/Community+AI+Discussions+Working+Group