Professor of Economics and Director of the Centre for Social Data Analytics
Phone: +64 9 921 9999 ext 8064
WT Tower, Room 1102
14/2 Wakefield St, Auckland
- 2000 PhD, Economics, University of Auckland.
- 1995 MCom (First Class Honours), Economics, University of Auckland.
- 1989 BCom, Economics, University of Auckland
Memberships and Affiliations:
- 2019 - Professor of Social Data Analytics, University of Queensland
- 2018 –, Member, Centre for Workforce Wellbeing Steering Group, Health Education England and University of Southampton, England
- 2017 –, Member, Advisory Board (Predictive Analytics for Child Welfare) for TrygFonden's Centre for Child Research, Aarhus University, Denmark
- 2015 –, Co-Director, Centre for Social Data Analytics, AUT
- 2015 –, Member, Data Futures Partnership Working Group
- 2014 –, Research affiliate of the Childrens Data Network, University of Southern California
- 2014 –, Senior Research Fellow, Singapore Management University
- 2014, Co-President and Founder, Singapore Health Economics Association
- 2007 – 2008, Harkness Fellowship in Health Policy, Harvard Medical School (US)
- Predictive Risk Modelling
- Health Services
- Health Economics
Rhema is a Professor in the School of Economics at AUT and Co-Director of the Centre for Social Data Analytics (also within the School of Economics). She is a highly experienced researcher with a focus on health economics. Rhema has secured funding for, and led, numerous large international research projects involving multidisciplinary research teams, including the Singapore Life Panel and development of the Allegheny Family Screening Tool. She is known for her ability to design research that delivers important academic and translational outputs.
Rhema’s research interests include: Applying economic theory to health care funding, policy research focused on understanding and improving the way health and human services work (including work on indigenous health and disparities) and predictive analytics and predictive risk modelling research focused on the methodologies, implementation and implications of predictive risk modelling in health and social services settings. Predictive risk modelling has been Rhema’s main research focus since 2014, including a number of translational projects in the United States.
Rhema is regularly invited to share her work, advise and collaborate, with researchers, agencies, government officials and funders working in the health and human services sectors in New Zealand, the United States, Australia, Europe and the United Kingdom.
Current Research Projects:
- Policy Primer for Covid-19 Tracing – Rhema is leading a working paper intended as a guide for policymakers considering the use of digital contact tracing solutions for Covid-19.
- Allegheny Family Screening Tool – Rhema led an international research team to develop a predictive risk modelling tool to assist child welfare call screening decisions in Allegheny County, Pennsylvania.
- Douglas County Decision Aid – Rhema is leading the infrastructure development of the Douglas County Decision Aid – a predictive model to be used during child welfare call screening in Douglas County, Colorado. Unlike the Allegheny Family Screening Tool, the Decision Aid does not rely on fully integrated data. It will be implemented as a randomised controlled trial.
- HEE Wessex “My Day” Survey – Rhema is leading a study of the experienced wellbeing of junior doctors in Wessex, England during their workday, using an online survey tool named “MyDay”.
- Allegheny County Homelessness Predictive Risk Model – This project is developing a predictive risk model to assist Allegheny County to prioritise interventions for people who are at a heightened risk of chronic homelessness.
- Singapore Life Panel – Rhema is the Director of the Singapore Life Panel at Singapore Management University, which asks Singaporeans aged 50-70 years about their income, expenditure, health, work and housing choice.
- Growing Up in New Zealand – This project is using the Growing Up in New Zealand dataset to identify the most important protective individual, family and neighbourhood factors for children who have multiple at-birth risk factors for an adverse childhood experience.
- An Ethical Framework for Social Policy Applications of Predictive Analytics– This Marsden funded project aims to produce a set of practical guidelines for the ethical use of predictive analytics across a range of policy applications.
See the Centre for Social Data Analytics Newsletter for the latest information about Rhema and CSDA’s work.