Data Study Group Final Report: Smart monitoring for conservation areas
Name
The_Alan_Turing_Institute_Data_Study_Group_Final_Report_-_WWF.pdf
Description
visibility:open
Size
2.94 MB
Format
Adobe PDF
Checksum (CRC64NVME)
+Xiwhrrz6n0=
Resource type
Research report
Creator (person)
Date published
2020
Abstract
WWF (World Wide Fund for Nature) monitors over 250,000 protected areas (e.g. national parks and nature reserves) and thousands of other sites and critical habitats. These sites are the foundation of global natural assets and are central to the preservation of biodiversity and human well-being. Unfortunately, they face increasing pressures from human development. In this challenge, we explore various data science techniques to automatically detect news articles that report emerging threats to key protected areas. We describe a system that identifies such news stories near real-time. This is vital to enable the wider machinery of WWF and the conservation community to engage with governments, companies, shareholders, insurers, and others to help halt the degradation or destruction of key habitats.
Contributor (organisation)
British Library
Living with Machines
Project(s)
Living with Machines
Funder
| Funder name | Awards |
Arts and Humanities Research Council | AH/S01179X/1 |
Engineering and Physical Sciences Research Council | EP/N510129/1 |
Publisher
Zenodo
Official URL
Collection