Improved understanding of human-nature interactions is crucial to conservation science and
practice, but collecting relevant data remains challenging. Recently, social media have …

Social media data are transforming sustainability science. However, challenges from
restrictions in data accessibility and ethical concerns regarding potential data misuse have …

Automated decision making and predictive analytics through artificial intelligence, in
combination with rapid progress in technologies such as sensor technology and robotics are …

Wildlife trade is a multibillion dollar industry that is driving species toward extinction. Of>
31,500 terrestrial bird, mammal, amphibian, and squamate reptile species,~ 24%(N= 7638) …

The recent advancement in data science coupled with the revolution in digital and satellite
technology has improved the potential for artificial intelligence (AI) applications in the …

Social media data are being increasingly used in conservation science to study human–
nature interactions. User‐generated content, such as images, video, text, and audio, and the …

Ongoing loss of biological diversity is primarily the result of unsustainable human behavior.
Thus, the long‐term success of biodiversity conservation depends on a thorough …

Digital data are accumulating at unprecedented rates. These contain a lot of information
about the natural world, some of which can be used to answer key ecological questions …

Given its extensive volume and reach, social media has the potential to widely spread
conservation messaging and be a powerful tool to mobilize social change for conserving …

Illegal or unsustainable wildlife trade (IUWT) currently presents one of the most high-profile
conservation challenges. There is no “one-size-fits-all” strategy, and a variety of disciplines …