The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour

Susan Michie*, James Thomas, Pol Mac Aonghusa, Robert West, Marie Johnston, Michael P. Kelly, John Shawe-Taylor, Janna Hastings, Francesca Bonin, Alison O'Mara-Eves

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review

17 Citations (Scopus)
5 Downloads (Pure)

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 languageEnglish
Article number122
Number of pages5
JournalWellcome open research
Volume5
DOIs
Publication statusPublished - 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

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