This round table will present three alternative and innovative research methods/models for testing hypotheses or informing clinical practice. We will look at the utility of using Big data and machine learning, to a more focused approach with patient and community engagement acknowledging the importance of patient input when looking for solutions.
Finally, we consider the impact of ‘culture’ (dominant, colonised, indigenous, etc) on what research questions are asked, how research is conducted, and research impact. The experience of Māori and Pasifika researchers and women in Aotearoa New Zealand is used as an exemplar.
ICS would like to thank Katrina Pōtiki Bryant, School of Physiotherapy, University of Otago, for her invaluable contribution to this Round Table session.
| TOPIC |
SPEAKER |
| Introduction |
Jennifer Kruger |
| "What is ‘machine learning’ and does ‘big data’ really tellus useful stuff" |
Eric Jelovsek |
| Patients as partners: what really matters |
Heidi Brown |
| The impact of culture on research: A New Zealand perspective |
Jean Hay-Smith and Katrina Pōtiki Bryant Virtual |