Modern scientific societies are increasingly vulnerable due to their dependence on membership fees and journal subscriptions, which are being challenged by the rise of virtual networking and open-access publishing.
I'm less interested in topics than in questions, and I'm less interested in publishing than I am in curation. When I've testified before Congress or dealt with an appropriations bill or a budget negotiation, this question, of what is the return on investments when you're doing R&D, comes up quite often. It's been asked by economists in very formal ways since at least the 1950s, but the data and the methods that were available were really not very strong.
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"Editing is as much about knowing and growing your team as it is about elevating their copy," said Kathleen McGrory, an editor with The New York Times Local Investigations Fellowship. "As an editor, a key part of your job is understanding what makes your reporters tick and helping them reach their goals beyond any one story. It requires open communication, deep trust and really listening."
That was a year or so ago, and my first brush with what generative AI could do. Like many, I started using it for fun: planning trips, finding nineteenth century authors I could recommend to fantasy-loving students (a genre I don't read), and making a holiday card starring my dog, Harry. But as work piled up, I didn't have time for new toys, so now I use AI for work.