Accurate species identification is the basis for all aspects of taxonomic research and is an
essential component of workflows in biological research. Biologists are asking for more …

Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

Natural history collections (NHCs) are the foundation of historical baselines for assessing
anthropogenic impacts on biodiversity. Along these lines, the online mobilization of …

The first two decades of the twenty-first century have seen a rapid rise in the mobilization of
digital biodiversity data. This has thrust natural history museums into the forefront of …

Widespread specimen digitization has greatly enhanced the use of herbarium data in
scientific research. Publications using herbarium data have increased exponentially over the …

Discoveries from collections‐based science change the way we perceive ourselves, our
environment, and our place in the universe. The 18th Century saw the beginning of formal …

Building on centuries of research based on herbarium specimens gathered through time
and around the globe, a new era of discovery, synthesis, and prediction using digitized …

Although often not collected specifically for the purposes of conservation, herbarium
specimens offer sufficient information to reconstruct parameters that are needed to …

The advancement of spring is a widespread biological response to climate change observed
across taxa and biomes. However, the species level responses to warming are complex and …

Responsible Operations is intended to help chart library community engagement with data
science, machine learning, and artificial intelligence (AI) and was developed in partnership …