Data-driven evaluation of policy initiatives Event as iCalendar

(School of Social Sciences)

25 August 2016

4 - 5pm

Venue: Room 107, Fale Pasifika Complex (273-107)

Contact info: Martin von Randow

Contact email: m.vonrandow@auckland.ac.nz

Website: COMPASS

Dr Michael O’Sullivan, University of Auckland

With the diversity and depth of data becoming available, utilising data to inform decisions is now feasible in many sectors. In this talk I will present three case studies that demonstrate how data can be and is being used to help either determine new policy initiatives or evaluate proposed policy initiatives. One case study is from a regional health perspective, one is from a national health perspective (using national datasets), and the third is from a national, cross-sector perspective (using the Statistics NZ Integrated Data Infrastructure – IDI).

Dr Michael O’Sullivan is a Senior Lecturer in Engineering Science, Theme Leader for Precise and Timely Healthcare, in the Precision Driven Health Research Partnership, and Associate Investigator in Te Punaha Matatini. His research specialty is Operations Research (OR) and, in the recent years, combining OR with Analytics. He formed the research group ORUA, specialising in utilising OR and Analytics to develop intelligent systems. ORUA’s research into OR and Analytics provides intelligence in many application areas including: healthcare – ORUA researchers are investigating models for providing OR/Analytics for healthcare systems including data-driven optimised rosters for General Medicine, optimal rostering and dispatch for Patient Transit, and simulation and optimisation for surgery scheduling; cloud computing – ORUA’s intelligent cloud programme is pioneering concept of OR/Analytics-based intelligence modules and these modules combine with cloud computing modules such as Compute, Store, and Connect to provide intelligent clouds; and government – ORUA researchers are analysing data and forecasting future demand for government services. They will use this data and these forecasts to determine the best way to provide these services and identify the need for future investment. ORUA’s research programmes also realise new tools for OR and Analytics. This work provides innovative tools for use across all the application areas.


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