Abstract
Changing behaviour is necessary to address many of the threats facing human populations. However, identifying behaviour change interventions likely to be effective in particular contexts as a basis for improving them presents a major challenge. The Human Behaviour-Change Project harnesses the power of artificial intelligence and behavioural science to organise global evidence about behaviour change to predict outcomes in common and unknown behaviour change scenarios.
Original language | English |
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Article number | 122 |
Number of pages | 5 |
Journal | Wellcome open research |
Volume | 5 |
DOIs | |
Publication status | Published - 10 Jun 2020 |
Bibliographical note
AcknowledgementsWith thanks to the HBCP research team: Ailbhe Finnerty, Debasis Ganguly, Martin Gleize, Emily Hayes, Yufang Hou, Eva Jermutus, Charles Jochim, Candice Moore, Emma Norris, Patrick O’Driscoll, Paulina Schenk, Gillian Stokes, Alison Wright, Silje Zink.Keywords
- Artificial intelligence
- Behaviour change
- Evidence synthesis
- Interventions
- Ontologies