Blockchain-based wildlife data-management framework for the WWF bison rewilding project
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Date
2019
Authors
Dryga, Andrii
Tsiulin, Sergey
Valiavko, Mariia
Qing, Yang
Reinau, Kristian Hegner
Journal Title
Journal ISSN
Volume Title
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Abstract
Mass digitalization, remote sensors, and flexible database solutions
encourage organizations to look closer at new technologies as an
efficient management tool. In these conditions, the leveraging of
blockchain and wireless tracking devices represents a field of fargoing
technology development and can be used for wildlife data
management. The purpose of this research is to introduce the
applicable solution for the case provided by the World Wildlife
Fund (WWF) regarding bison population rewilding in Eastern
Europe. The goal of the paper is to create a data management
framework, which combines information into one multi-integrated
system visible to stakeholders. The paper theoretically extends the
existing MIT OPAL blockchain-based model, which was
implemented for the WWF bison rewilding project, showing a
solution from managerial and technical perspectives. The proposed
platform is able to provide secure geospatial wildlife data, increase
intention to make donations to the project and facilitate the
conditions for a better tourism experience. We found that such a
system can have a positive effect on the project’s cost reduction,
flexibility in redirecting manpower within the region and become a
useful tool for decision-makers.
Description
Keywords
Blockchain, rewilding, wildlife data security, data-management framework, conference materials
Citation
Blockchain-based wildlife data-management framework for the WWF bison rewilding project [electronic resource] : conference paper / Dryga A., Tsiulin S., Valiavko M., Qing Y., Reinau K. H. // Big Data Technologies : 2nd International Conference (Jinan, China, August 28-30, 2019). - 2019. - P. 62-66.