iSpot: Research finds crowdsourcing effective for gathering biodiversity data

iSpot: Research finds crowdsourcing effective for gathering biodiversity data
The conceptual social network structure of iSpot, showing the group (3 of the 8) compartmentalization and its interaction. Credit: Jonathan Silvertown

Launched in 2009, iSpot is a citizen science platform aimed at helping anyone, anywhere identify anything in nature. To date, around 42,000 people have registered as iSpot users and over 390,000 observations have been made, leading to the identification of more than 24,000 species.

New research, undertaken by the OU, looking into the success of the iSpot model has found that the structure of the platform's social network to be a key feature. iSpot combines learning technology with crowdsourcing, enabling beginners to connect with experts, and leading to plant and wildlife being identified accurately.

Over 94% of submitted to iSpot receive some sort of identification with more than half being named within an hour. Using a unique process based on an iSpot user's 'reputation', the platform motivates iSpotters to verify species and rewards them for doing so. In 57% of such cases the reputation system improved the accuracy of the determination.

The research concluded that by effectively connecting users in this way they are able overcome the social as well as geographic barriers that prevent the sharing of knowledge.

Janice Ansine, Citizen Science Project Manager at The Open University and iSpot manager said: "Being able to correctly identify plant and wildlife is a key skill to furthering our understanding of biodiversity, but sadly one that tends to be neglected in formal education at all levels. This research shows that a social network such as iSpot is an incredibly effective tool in not only connecting nature lovers from across the globe, but also in capturing invaluable biodiversity data and insight."


Explore further

Evolution in the back yard -- census of 750,000 banded snails leads to surprising results

More information: Silvertown J, Harvey M, Greenwood R, Dodd M, Rosewell J, Rebelo T, Ansine J, McConway K (2015) Crowdsourcing the identification of organisms: A case-study of iSpot. ZooKeys 480: 125-146. DOI: 10.3897/zookeys.480.8803
Journal information: ZooKeys

Provided by Pensoft Publishers
Citation: iSpot: Research finds crowdsourcing effective for gathering biodiversity data (2015, February 12) retrieved 21 September 2019 from https://phys.org/news/2015-02-ispot-crowdsourcing-effective-biodiversity.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.
25 shares

Feedback to editors

User comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more