Hum today announced that the American Society for Microbiology (ASM), one of the largest life science societies, has selected Hum’s Alchemist Taxonomy platform to enhance content organization, discovery, and audience engagement across ASM’s 16 scientific journals.
ASM used Alchemist Taxonomy to build a custom taxonomy based on over 260,000 articles published in their journals. The taxonomy build took about two weeks. Alchemist Taxonomy then applied appropriate tags to every article in ASM’s back file, and will do so going forward for all future publishing.
Alchemist Taxonomy will integrate with ASM’s existing KriyaDocs workflow, delivering AI-generated tags directly to articles appearing on ASM’s publishing platform, which is Atypon. This seamless connection will enable ASM to automatically, consistently, and accurately categorize and tag their entire journals publishing corpus.
“ASM is committed to delivering the most valuable and accessible microbiology content to our global community of researchers and practitioners,” said David Haber, Director of Publishing Operations for the American Society for Microbiology. “Hum’s Alchemist Taxonomy offers us an opportunity to dramatically improve how we organize and present our content, enabling more precise discovery and recommendations for our members. The integration with our existing KriyaDocs and Atypon infrastructure was a critical factor in our decision, as it allows us to enhance our capabilities without disrupting established workflows.”
By implementing Alchemist Taxonomy, ASM aims to achieve several strategic objectives:
- Establish consistent, accurate tagging across their entire content library
- Improve content discoverability for researchers and practitioners
- Gain deeper insights into audience interests and content performance
- Streamline editorial workflows by automating previously manual tagging processes
- Enable more targeted content recommendations and personalization
“Scientific societies typically spend months and hundreds of thousands of dollars creating custom taxonomies, and even then, application of those taxonomies consistently can be a challenge,” said John Challice, SVP of Business Development at Hum. “This is a role where the robots can do it faster, cheaper, and better. We’re pleased to be able to bring frontier AI into ASM’s existing workflows, and to have done so so quickly.”
