Behaviour, biodiversity indicators, prediction, and conservation AI.

• Swaby et al. 2026. Deep neural networks to predict foraging behaviour: saltwater immersion data can accurately predict diving in seabirds
• Wood et al. 2025. A behavioural approach to key area identification in seabirds.
• Trevail et al. 2023.Tracking seabird migration in the tropical Indian Ocean reveals basin-scale conservation need

• Capdevila et al. 2026. Halting predicted vertebrate declines requires tackling multiple drivers of biodiversity loss.
• Cornford et al. 2023. Ongoing over-exploitation and delayed responses to environmental change highlight the urgency for action to promote vertebrate recoveries by 2030
• Currie et al. 2025. Under pressure: the relationship between vertebrate populations and high-intensity cumulative threats in habitats across Canada

• Norman et al. 2023. Can CNN-based species classification generalise across variation in habitat within a camera trap survey?
• da Silva Cerqueira et al. 2025. Automated classification of albatross acoustic behaviour at sea: A free and open-source classifier for seabird sounds

• Cornford et al. 2023. Ongoing over-exploitation and delayed responses to environmental change highlight the urgency for action to promote vertebrate recoveries by 2030
• McRae et al. 2025. The utility of the Living Planet Index as a policy tool and for measuring nature recovery
• McRae et al. 2025. Maximising time-series inclusion reduces geographic and taxonomic biases in the Living Planet Index.

• Dunn et al. 2025. Commuting in crosswinds and foraging in fast winds: the foraging ecology of a flying fish specialist
• Swaby et al. 2026. Deep neural networks to predict foraging behaviour: saltwater immersion data can accurately predict diving in seabirds
• da Silva Cerqueira et al. 2025. Automated classification of albatross acoustic behaviour at sea: A free and open-source classifier for seabird sounds

• The Species Awareness Index (SAI): a Wikipedia-derived conservation culturomics metric for public biodiversity awareness
• Johnson et al. 2023. Achieving a real-time online monitoring system for conservation culturomics
• Crowson et al. 2023. Using geotagged crowdsourced data to assess the diverse socio-cultural values of conservation areas: England as a case study.
• Cornford et al. 2022. Automated synthesis of biodiversity knowledge requires better tools and standardised research output

Selected publications

• Alexander et al, 2026. Sociality and seabird diving: lower dive effort for solitary gannets compared with those in groups and at fishing boats.
• Papastamatiou et al, 2020. Multiyear social stability and social information use in reef sharks with diel fission–fusion dynamics
• Jacoby et al. 2016. Inferring animal social networks and leadership: applications for passive monitoring arrays
• Freeman et al. 2011. Group decisions and individual differences: route fidelity predicts flight leadership in homing pigeons (Columba livia)