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February 06, 2025
Early–Stage Researchers Publishing Workshop – February 2025 Edition
Another round of discussions with early career scholars focuses in on generative AI and peer-review practices within scholarly publishing.
Yesterday was the latest iteration of the Leadership and Development Early Stage Researchers Publishing Workshop. As long-time readers will be aware, this is a session I’ve been contributing to for a good three years now, and is facilitated by the wonderful Dr Harriet Richmond. While the groups of delegates are often small, because this session is part four of a five week course, it means there’s always a strong exiting bond of collegiality between the delegates already. Certainly, this makes it easier to spark off some conversations around publishing, editing and reviewing, without the usual ‘getting to know you’ ice breakers needed for one off events. There’s also always a good chance for myself and Harriet to have some valuable explorations around the theme between ourselves, while the delegates are off in a separate room working on a task. A little bit of bonus professional development and awareness raising, as well as helping to ensure a thread of bespoke, currency runs throughout the later delegate discussions.
Each time I’ve spoken at these sessions I’ve evolved the slides and the timbre of what I have to share, and yesterday was certainly no different. In my preparation, I found myself cutting some old favourites, and reworking some of the groupwork exercises I post too. Hopefully, that ensures a better relevancy for the delegates, as well as iteratively streamlining and focusing what I have to talk about. Given, most of what I’m talking about is drawn directly from Exchanges’ experiences, this helps make the session as grounded in practice as possible. Does it give a comprehensive view of the publishing domain? Far from it, and in many cases I suspect we opened up more questions than offering answers. Although, as I would often argue, that’s how publishing generally works: there are few cut and dried answers. If the delegates are thinking and reflecting a little bit more about how and where they place their next article, or even the publishers and journals they’re going to work with in the future – then I’ve done my job!
Interestingly, Harriet, the delegates and I got into a long back and forth concerning the impact of AI (generative, large language models: let’s get the language right here!) and it was fascinating to see the split of opinions. I think I remain, cautiously sceptical but concerned on its wider impact on publishing – a topic explored in last year’s podcast with Jonathan Vickery.[1] Yet, after yesterday I think it was really useful to find that the delegates themselves are keeping a watchful, modestly apprehensive but curious eye on how the scene develops. Maybe this tech bubble will burst, or maybe a few years from now academic publishing – and associated esteem and career markers – are going to look a whole lot different to the landscape today.
One other topic that really came to the fore during my talk and discussions was the art/science/practice of reviewing. If you’ve listened to our podcast, you’ll know it’s particular fascination for me both professionally and personally. I’ve also long recognised it’s a rather under-developed skills area for many early career scholars, and would love to run some more training in this domain. Finding the time, the will and the way: hah! That’s always the challenge, but I think from what I presented yesterday, and the discussions we had around it, there’s a good framework for a healthy couple of hours exploring the topic. Maybe it’s something I’ll have the chance to explore more later this year, as the IAS reexplores what and how it supports local scholars from March onwards.
As always, my grateful thanks to Harriet for the invite to participate once again, and the wonderful delegates for a spirited exchange around publishing! Certainly the session was a highlight of my working week.
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[1] Listen in at: https://open.spotify.com/episode/7uRFdX9RVPgzwEWCzNNdgx