With the widespread availability and pervasiveness of artificial intelligence (AI) in many
application areas across the globe, the role of crowdsourcing has seen an upsurge in terms …

Classifying specimens is a critical component of ecological research, biodiversity monitoring
and conservation. However, manual classification can be prohibitively time‐consuming and …

In light of global biodiversity loss, there is an increasing need for large‐scale wildlife
monitoring. This is difficult for mammals, since they can be elusive and nocturnal. In the …

AI in and for Africa: A Humanistic Perspective explores the convoluted intersection of
artificial intelligence (AI) with Africa's unique socio-economic realities. This book is the first of …

AI for Social Good (AI4SG) has been advocated as a way to address social impact problems
using emerging technologies, but little research has examined practitioner motivations …

As researchers and technology companies rush to develop artificial intelligence (AI)
applications that aid the health of marginalized communities, it is critical to consider the …

In this article, we have introduced Gamispotify. For the first time, in a social network-based
environment, and by benefiting from gamification and crowdsourcing, Gamispotify …

We investigate the potential of a new citizen science paradigm that facilitates collaborative
learning between humans and artificial intelligence (AI). Recognising the potential of AI to …

Visualizing and examining the intellectual landscape and evolution of scientific communities
to support collaboration is crucial for multiple research purposes. In some cases, measuring …

Using public support to extract information from vast datasets has become a popular method
for accurately labeling wildlife data in camera trap (CT) images. However, the increasing …