
Following the successful Weather and Climate Birds of a Feather session at RSECon24, the Geoscience Special Interest Group (SIG) was formed, with over 100 RSEs signed up to our slack space. The geoscience RSE community consists of many RSEs working across the various fields of geoscience, spanning, among others, climate, weather, space science, geology and oceanography. In last year’s session, the needs and interests of this community were discussed. Those identified included a need for opportunities to share knowledge between organisations, break down silos and collaborate as well as interest in developing better guidance on career pathways. As the inaugural hybrid meeting of the newly formed Geoscience SIG, we propose a BoF event to address these interests, aiming to build this community by bringing together RSEs from across the fields to network and facilitate knowledge exchange. This session is open to any RSEs working in or interested in geoscience and will feature keynotes from Bryan Lawrence (NCAS) & Andrea Sharpe (NERC), lightning talks on technical topics from within the community, breakout sessions to discuss community-driven topics (such as careers and building domain knowledge) and a session on the next steps for the SIG. A recording of this session is available on YouTube here: https://youtu.be/gg9jr2YKV4A?si=P5Oy3_txY35J1SM8
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| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
