Cardiff University is the only Welsh member of the Russell Group of research-intensive British universities.
Our approach is to develop a Forest Observatory and develop data-driven predictive analytics to predict poaching incidents. Forest Observatory is a Linked Datastore which integrates heterogeneous data. We consider Forest Observatory as an extension Urban Observatories which aim at gathering real-time urban data across cities. Collecting data in forests is much more challenging than in cities due to the lack of infrastructure. However, while we expect to deploy an Internet of Things (IoT) infrastructure to enable poaching monitoring, we should be able to utilise already collected data sets to develop poaching predictive models. For example, DGFC has data sets collected by researchers for wildlife species monitoring over the last decade, such as animal collar data, camera traps, satellite imagery, LiDAR and environmental data, with each data set generated using different time frames, durations, geographic areas etc. In order to develop a Forest Observatory, we aim to integrate data sets collected by the bioscience researchers at DGFC into a unified linked data store using semantic data integration techniques (computer science methods) while conforming to the data modelling standards (e.g., ontologies) and needs of bioscience research (Bioscience methods) within the context of developing a model and novel tools that are exportable to other areas of the world where poaching is a threat to wildlife conservation.
The Global Challenges Research Fund (GCRF) is part of the UK’s official development assistance (ODA). Its aim is to support cutting-edge research and innovation that addresses the global issues affecting developing countries.