Weds, 12 December, 2018
The University of Melbourne, Peter Hall Building, Evan Williams Theatre
Models of processes are the foundation of the physical sciences. In contrast, in health - with little prospect for developing a deep mechanistic insight of complex human health conditions - statistical approaches, and in particular the use of Randomised Controlled Trials, are the norm.
This workshop will explore if/how models (variously termed mechanistic, causal or process models) can fundamentally change the validity of and utility of certain types of data, with implications for how we synthesise knowledge and argue for decisions across different areas of science.
Presentations will be given by academics from a number of disciplines: mathematics, statistics, history and philosophy of science, epidemiology and ecology.
Programme for the Workshop:
9:15 - 9.30: Opening Remarks: Peter Taylor, ACEMS Director
9:30 -11.00: Setting the Scene:
- 9:30 - 9:50 James McCaw
- 9:50 - 10:10 Fiona Fidler
- 10:10 - 10:30 Julie Simpson
- 10:30 - 11:00 Discussion.
11.00-11.30: Morning Tea
11.30 – 1.00: Current Practice:
- 11:30 - 11:50 Matthew Page
- 11:50 - 12:10 Janet McCalman
- 12:10 - 12:30 Tim Brown
- 12:30 - 1:00 Discussion
2.00-3.30: From Science to Decision-Making
- 2:00 - 2:20 Chris Baker
- 2:20 - 2:40 Jodie McVernon
- 2:40 - 3:00 Michael Barber
- 3:00 - 3:30 Discussion