Thanks @gracielle.science ☺️☺️☺️ I'm in my Gen-Z science comm era 🧬💻🦄

Shoutout time 📣: Big love to my co-authors @dralexdunhill.bsky.social , Jennifer Dunne, @ctrlalttim.com and @beckerhopper.bsky.social. Couldn’t have done it without you. 🙌💖

Bottom line: Networks are picky, assumptions are queen, and our framework is a cheat code. 🫡

4️⃣ A unified framework improves application and progress:
We built something of a 'network GPS' 🗺️🕸️ to help pick the right network for the right question. This keeps everyone from getting lost in the jungle of misinterpretation 🌳😵‍💫 and makes progress actually progress 📈🚀.

3️⃣ Explicit assumptions are essential for evaluation:
If you don’t know what assumptions went into making your network, you’re basically guessing 🎲❌🌱. Spell them out ✍️📝 so your analysis isn’t just chaos in disguise ⚡🕸️.

2️⃣ Network representations are not interchangeable:
There’s no one-size-fits-all 🤷‍♀️🧢. Your favorite network might be great for unicorns 🦄 but terrible for horses 🐴. Pick your network like you pick your Netflix shows 🍿📺—what you’re actually trying to watch.

1️⃣ Network representations encode different processes:
Different networks = different vibes. Some networks are about who eats who 🍴🦌🦅, some are about who hangs out with whom 🫂🌿. Knowing the network’s 'personality' is key to asking the right questions 🧠✨.

Peak vibes, no cap 🔥

Cat croissants! 🐱🥐

Best of both worlds? Start with the Smörgåstårta, followed by Fish n Chips (with mushy peas obvi), and round it out with the Prinsesstårta. Simple!

I had a class of 4th graders and 10th graders! And yeah for sure! 🥰 Or they're asking 'big questions' and you're questioning why we as a field haven't thought of it yet!

Thanks @gracielle.science for passively convincing me to register! xx