To top it all off, we also had the chance to present some of our recent work in collaboration with Google DeepMind. It was fantastic to see everyone who stopped by and shared in the excitement about the results.

Even better, I got to dive into a methods mash session that blew my mind, both in my own field and in areas I've rarely touched. It's good to witness the interdisciplinary communities that events like these help to foster.

Eroding public trust in science, the hacking of global science funding, and our inability to counter these trends. Boosting our internal credibility is crucial, but can it revert these global anti-science shifts? Feels a bit like we're fine-tuning the orchestra on the Titanic as it begins to tilt!

Day one brought up fascinating discussions, but also some vital acknowledgements of the challenging world we're navigating. It strikes me that while we're rightfully focused on improving research internally, we might be overlooking the bigger picture. One everyone is aware of.

This study uses YouTube's change to reveal how gender-biased feedback suppressed women's productivity in online labor markets. The evidence is clear: removing dislikes significantly increased female creators' output and demand. Robust results, elegant methods—wish I’d thought of it!