Monitoring and Evaluation
People For Wildlife implement a vast range of conservation, research, community engagement, and nature-based business projects over multiple landscapes and with diverse stakeholders.
Monitoring our impact is key.
We leverage contemporary technologies to assist with monitoring and evaluation across all our projects and landscapes.
We have built bespoke apps that allow users on the ground to collect standardised data and other information specific to each project, and rapidly upload it to a centralised database.
We develop online dashboards with associated visuals and statistics to monitor all projects and associated outputs. These dashboards are linked to the data-collection apps and as such update automatically in real time when new information is recorded in the field, allowing PFW staff to gain a thorough and up-to-date picture of each field project’s progress and impact.
We leverage AI technology to automatically detect and identify wildlife in imagery collected using wildlife cameras, and sort and store the results. This process has resulted in a 98% reduction in resources required to analyse vast swathes of wildlife imagery collected across our landscapes allowing us to rapidly identify and act on changes in biodiversity.
We leverage machine learning to automatically analyse thousands of hours of soundscape recordings, to i) inform metrics of biodiversity derived from analysis of the soundscape, and how they change over time, and ii) identify and monitor specific species within recordings.
Together, these technologies and analyses allow us to efficiently and effectively monitor and evaluate all stages of project implementation, and rapidly identify impacts of our interventions across all our landscapes.
