The Bubble Effect: Focusing only on your geoscience disciplinary session at a conference may miss 44% of the 10 most relevant contributions. This may therefore pose a risk of missing geoscience contributions addressing similar problems from a different perspective presented outside their own sessions.
Interesting paper from Sodoge et al (2024) using Natural Language Processing (NLP) to analyse 77,911 abstracts presented at European Geosciences Union (EGU) GA 2020-2024. “Each dot represents an abstract where a shorter distance between dots indicates a greater similarity in content.“
Artificial Intelligence (AI) could play a role in helping recommend contributions to geoscientists, independent to the session they were submitted to. Paper below.
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 
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