I gave two lightning talks at the 2026 Dutch Open Science Festival. My first experience with lightning talks were at SciPy, PyData, and PyCon conferences so I formulated the talks in that vein, but I seemed to be the only person that took the tongue-cheek-approach. Oh well...

My first talk was more-or-less a public service announcement to utilize Green Open Access. I'm not sure my research peers are always aware of the nuances in open access choices, but once I got to the conference I realized that my peers were not really present, it was mostly all the open science related support staff. Librarians are likely keenly aware of what Green Open Access is and I think that was my audience. So I may have just been preaching to the choir on this talk. Here are the slides:

Unfortunately the moderator left no time for Q & A, so I'm not sure how the talk was received.

My second talk was much more well received (at least according to the engaging post-talk Q & A!). I was warmed up for this talk and very happy with the delivery. In the talk, I give some introduction to the disregard generative AI model builders have towards copyrighted materials and raise the concern that both copyright is ignored and that current copyright laws may not protect human labor in the age of AI. I've been worried about license dilution with AI contributions to SymPy since the introduction of the new tools and Paul Ivanov's talk from a year ago did a great job putting such thoughts into words. Here is my short expression of similar ideas: