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Can conservation education learn anything from ‘Big Data’?

Can conservation education learn anything from ‘Big Data’? ‘Big Data’ are immense data sets that can be analysed to reveal patterns and trends in human behaviour and interactions. The growth in the digital universe and the data it makes available provide zoological facilities with information that can be used to develop targeted conservation‐education programmes and for long‐term future planning for biodiversity conservation. Various analytical tools (often free and easy‐to‐use) are available that make it possible to analyse both structured (e.g. customer databases) and unstructured (e.g. Twitter posts) data. Examples of how the extracted data will look and how it can be used to best effect are given in this article. Zoological facilities have a mass of data that that could be utilized to provide a stronger evidence base for internal decision‐making processes. Furthermore, it is time that zoos and aquariums learned to make sense of the huge amounts of unstructured text and image data available in the digital universe, especially as they relate to conservation work. In this way it will be possible to understand and improve the two‐way dialogue zoological facilities have with their visitors and collaborators. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Zoo Yearbook Wiley

Can conservation education learn anything from ‘Big Data’?

Moss, A.
International Zoo Yearbook , Volume 50 (1) – Jan 1, 2016
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References (12)

Publisher
Wiley
Copyright
Copyright © 2016 The Zoological Society of London
ISSN
0074-9664
eISSN
1748-1090
DOI
10.1111/izy.12107
Publisher site
See Article on Publisher Site

Abstract

‘Big Data’ are immense data sets that can be analysed to reveal patterns and trends in human behaviour and interactions. The growth in the digital universe and the data it makes available provide zoological facilities with information that can be used to develop targeted conservation‐education programmes and for long‐term future planning for biodiversity conservation. Various analytical tools (often free and easy‐to‐use) are available that make it possible to analyse both structured (e.g. customer databases) and unstructured (e.g. Twitter posts) data. Examples of how the extracted data will look and how it can be used to best effect are given in this article. Zoological facilities have a mass of data that that could be utilized to provide a stronger evidence base for internal decision‐making processes. Furthermore, it is time that zoos and aquariums learned to make sense of the huge amounts of unstructured text and image data available in the digital universe, especially as they relate to conservation work. In this way it will be possible to understand and improve the two‐way dialogue zoological facilities have with their visitors and collaborators.

Journal

International Zoo Yearbook – Wiley

Published: Jan 1, 2016

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