Epistemic status : I have been reading on and off technical papers on large language models since 2020, mostly get the gist but don't understand the deepest technical details. I have written and published on academic discovery search for most of my librarianship career since 2008. Since the 2000s the way search engines have worked has not changed.

I've started seriously studying and blogging about Open Access since 2012, starting off by reading books by Walt Crawford and Peter Suber and since then I've continued to read and muse about the issue covering everything from

I recently came across "Automated citation recommendation tools encourage questionable citations" (which was first brought to my attention by this blog post) an exceedingly thought-provoking article about bias in discovery tools, particularly new ones that can

With open scholarly data (metadata and full-text) becoming increasingly available, it is natural to see attempts to apply the latest deep learning techniques to try to see if one can ease the burden of doing literature review.

My blog usually takes the view that most of our users do not start at the library homepage as a truism and since the beginning of the blog in 2009, I have covered tools that help users "get back" to library resources or at least easily check for availability via their library catalogs or library discovery service.

I've been writing about the rise in availability of open Scholarly metadata (in particular Open Citations) as far back as 2018 and how they might impact academia.

I've always had an interest in bibliometrics, and while I have served in teams supporting bibliometrics in the past (2010-2015) and enjoy reading and skimming bibliometrics papers, I have never been officially given the title of a librarian supporting bibliometrics.

In late 2018, I gave a talk at OCLC Asia Pacific Regional Conference Meeting 2018 and I gave my thoughts on how I see the game changing for libraries in the years to come based on 3 fundamental trends.

Note: This is based off my contribution to the Upstream blog (plus some major additions)- Aaron Tay is Keeping Tabs on Open Research

Note: This is adapted from an internal talk I gave at my place of work.

If there is one academic discovery search that dominates it is Google Scholar.