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Crowdsourcing snake identification with online communities of professional herpetologists and avocational snake enthusiasts

Durso, A M; Bolon, I; Kleinhesselink, A R; Mondardini, M R; Fernandez-Marquez, J L; Gutsche-Jones, F; Gwilliams, C; Tanner, M; Smith, C E; Wüster, W; Grey, F; Ruiz de Castañeda, R (2021). Crowdsourcing snake identification with online communities of professional herpetologists and avocational snake enthusiasts. Royal Society Open Science, 8(1):201273.

Abstract

Species identification can be challenging for biologists, healthcare practitioners and members of the general public. Snakes are no exception, and the potential medical consequences of venomous snake misidentification can be significant. Here, we collected data on identification of 100 snake species by building a week-long online citizen science challenge which attracted more than 1000 participants from around the world. We show that a large community including both professional herpetologists and skilled avocational snake enthusiasts with the potential to quickly (less than 2 min) and accurately (69-90%; see text) identify snakes is active online around the clock, but that only a small fraction of community members are proficient at identifying snakes to the species level, even when provided with the snake's geographical origin. Nevertheless, participants showed great enthusiasm and engagement, and our study provides evidence that innovative citizen science/crowdsourcing approaches can play significant roles in training and building capacity. Although identification by an expert familiar with the local snake fauna will always be the gold standard, we suggest that healthcare workers, clinicians, epidemiologists and other parties interested in snakebite could become more connected to these communities, and that professional herpetologists and skilled avocational snake enthusiasts could organize ways to help connect medical professionals to crowdsourcing platforms. Involving skilled avocational snake enthusiasts in decision making could build the capacity of healthcare workers to identify snakes more quickly, specifically and accurately, and ultimately improve snakebite treatment data and outcomes.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Kompetenzzentrum Citizen Science
Dewey Decimal Classification:001 Knowledge
Scopus Subject Areas:Health Sciences > Multidisciplinary
Language:English
Date:January 2021
Deposited On:12 Mar 2021 06:28
Last Modified:24 Nov 2024 02:39
Publisher:Royal Society Publishing
ISSN:2054-5703
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1098/rsos.201273
PubMed ID:33614073
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