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Participatory evaluation of the process of co-producing resources for the public on data science and artificial intelligence

  • Piotr Teodorowski
  • , Kelly Gleason
  • , Jonathan J. Gregory
  • , Martha Martin
  • , Reshma Punjabi
  • , Suzanne Steer
  • , Serdar Savasir
  • , Pournamy Vema
  • , Kabelo Murray
  • , Helen Ward
  • , Dorota Chapko

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Modern technology offers new treatment options for patients and novel avenues of research. However, there is limited available information in easily understandable language for the public explaining how technology relates to them and could influence their healthcare. The researchers, healthcare professionals and public members worked together collaboratively to address this problem by creating new materials for the public. Our paper explores that project through creative methods. Firstly, everyone involved was offered an opportunity to attend training sessions. Then, people took photos and described them to illustrate to others what is their experience of working together. Finally, we all met to use included photos as building blocks to present a shared experience in the project. Afterwards, the professional artist included it as one circular illustration with six interlinked layers. These layers present everyone’s experiences (from inside) (1) is about the opportunity to build confidence in a new topic, (2) relationships with others, (3) working remotely during the pandemic, (4) motivation that influenced people to become involved in this particular piece of work, (5) expectation that the project needs be inclusive and accessible, (6) ethical principles that researchers using new technology should follow. We showed that it is possible for researchers, healthcare professionals and members of the public to feel joint ownership of the project and that working together can be meaningful to everyone.

Original languageEnglish
Article number67
JournalResearch Involvement and Engagement
Volume9
Issue number1
DOIs
Publication statusPublished - Dec 2023
Externally publishedYes

Keywords

  • AI
  • Background
  • Co-production
  • Data science
  • Evaluation
  • Photovoice

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