Technological progress has often been measured by the extent to which it shields and
protects us from the harshness of nature. At the same time, it has long been recognised that …

Detecting anomalies in time-varying multivariate data is crucial in various industries for the
predictive maintenance of equipment. Numerous machine learning (ML) algorithms have …

Recent advances in technology and reduction in hardware costs have made the collection of
acoustic environmental recordings more accessible, thereby facilitating easier acquisition of …

The increasing loss of species globally calls for effective monitoring tools and strategies to
inform conservation action. The dominant approach to citizens engagement has been smart …

As interest within the HCI community expands beyond urban settings, novel tools and
devices are being developed to support more sustainable interactions with natural …

Acoustic sensing has been hailed as a game-changer for detecting furtive wildlife, but
uptake has been constrained by the laborious process of reviewing resultant torrents of …

Through a computational reading of the online book reviewing community LibraryThing, we
examine the dynamics of a collaborative tagging system and learn how its users refine and …

Growing developmental activities, such as hydropower construction, farm roads, and other
human activities, are affecting the critically endangered white‐bellied heron (WBH). Out of a …

Despite a long tradition of 'non-expert'participation in ecoacoustics research, asymmetrical
distribution of resources and engagement between the Global North and Global South …

An increasing variety of technologies are being developed to support conservation of
endangered wildlife; however, comparatively little attention has been devoted to their …