Project Details
| Acronym | Predicting the Learning BB/D015812/1 |
|---|---|
| Status | Finished |
| Effective start/end date | 1/10/07 → 30/09/10 |
Funding
- Biotechnology and Biological Sciences Research Council: £278,750.98
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Bayesian spatial NBDA for diffusion data with home-base coordinates
Nightingale, G. F., Laland, K. N., Hoppitt, W. J. E. & Nightingale, P., 2 Jul 2015, In: PLoS One. 10, 7, e0130326.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Perching but not foraging networks predict the spread of novel foraging skills in starlings
Boogert, N. J., Nightingale, G. F., Hoppitt, W. J. E. & Laland, K. N., Nov 2014, In: Behavioural Processes. 109, Part B, p. 135-44 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Social Learning: Mechanisms, Methods and Models
Hoppitt, W. J. E. & Laland, K. N., 2013, Princeton University Press.Research output: Book/Report › Book
Datasets
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Data underpinning : Bayesian Spatial NBDA for diffusion data with home-base coordinates
Evans, G. F. (Creator), Laland, K. N. (Creator), Nightingale, P. W. (Creator) & Hoppitt, W. (Creator), University of St Andrews, 2015
DOI: 10.17630/598D93F6-8B24-45D1-B606-05950144691C
Dataset
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