Spotlight speeches 4

David Cuartielles – MAU

Arduino was born as an open-source tool to help designers and artists learn about electronics. Its ease of use, open-source nature, and availability turned it into an educational tool that has reached universities and high schools worldwide. Arduino boards have been used to build robots, capture data in complex scientific experiments, and even control satellites in low Earth orbit.  

Arduino's 4 pillars are open-source software, open hardware, open documentation, and a multi-million community of developers ranging from school students to scientists at the European Space Agency. Millions of people have learned electronics and programming using Arduino boards and have joined any of the STEAM disciplines because of that experience.

Sara Rouhi – AIP

Open science's founding promise is that making research outputs freely and equitably available accelerates and democratizes knowledge. But that promise is being reshaped by an actor the movement did not anticipate: large commercial AI companies, whose frontier models are trained substantially on openly licensed data, publications, code, and images produced by researchers who consented to openness, not to extraction. This talk examines a growing tension, particularly acute in the US context, between open science as a public good and open science as a free input to for-profit AI development. What obligations, if any, do foundation model developers owe the communities whose openness they monetize? And what does "open" mean for a researcher who wants their work to advance science, but not to be repackaged, without consent or compensation, into a commercial product? I'll explore what this tension means for open science norms, licensing, and community trust going forward.