Speakers
Description
Co-production, defined as collective knowledge making across different groups of stakeholders, has been suggested as the most effective strategy for mobilising evidence in policy and practice contexts \cite{bandola2023co}. While co-production is becoming an increasingly popular term in research, it is not always evident what counts as co-production: what is being produced, under what circumstances, and with what implications for participants \cite{filipe2017co}.
With co-production becoming more of a priority, its place in non-clinical research can be difficult to navigate. We will explore the arguments for co-production within modelling, taking into account the national and international context and co-production’s place in the wider knowledge exchange agenda.
We will use the COMMET (co-produced Mathematical Modelling of Epidemics Together) project as a case study to examine processes of co-production as way of making better decisions in epidemic modelling, since co-production is increasingly recognised as a way of ensuring that models reflect the realities and values of those most affected and avoiding harm. We will share examples of how co-production has been put into practice in the case study of the COMMET project and present our experiences as a co-producer and facilitator of co-production respectively.
Bibliography
@article{bandola2023co,
title={What is co-production? Conceptualising and understanding co-production of knowledge and policy across different theoretical perspectives},
author={Bandola-Gill, Justyna and Arthur, Megan and Leng, Rhodri Ivor},
journal={Evidence \& Policy},
volume={19},
number={2},
pages={275--298},
year={2023},
publisher={Policy Press}
}
@article{filipe2017co,
title={The co-production of what? Knowledge, values, and social relations in health care},
author={Filipe, Angela and Renedo, Alicia and Marston, Cicely},
journal={PLoS biology},
volume={15},
number={5},
pages={e2001403},
year={2017},
publisher={Public Library of Science San Francisco, CA USA}
}
