Craig Beverly

Senior Research Scientist, Agriculture Victoria

Craig Beverly

Senior Research Scientist, Agriculture Victoria

Craig Beverly is a Senior Research Scientist with the Agriculture Victoria located at Rutherglen. He has 20 years experience in the formulation, development and application of numerical models to simulate natural resource systems. His current work involves developing a range of biophysical models to support economics and policy analysis of landscape systems including an integrated biophysical catchment model capable of assessing the impacts of land management on surface hydrology, groundwater, nutrient dynamics, sediment transport and vegetation dynamics. Collaborations have been undertaken with the CRC eWater , the CRC for Catchment Hydrology and the CRC for Plant Based Management of Dryland Salinity. Craig is an Adjunct Professor (Hydrology) at La Trobe University Albury-Wodonga Campus and is a Senior Fellow with the Department of Agriculture and Food Systems at The University of Melbourne and a technical representative on the Bureau of Meteorology AWRA (Australian Water Research Advisory) Model System Reference Group.

Where: International Convention Centre, Sydney – Room E5.7

When: Day 2 – Thursday, 14 June 2018, 8.30 – 9.00

Abstract Outline: This presentation will provide a strategic assessment of what new capabilities need to be considered when proposing resource allocation decision support systems that rely upon water policy models. A case study related to an instrument called the “Northern Victorian Water Policy Model” (NVWPM) will be presented. This model draws upon the development of a range of software applications undertaken by Agriculture Victoria going back to the early 2000s. More recently modelling has been extended to explore the economic implications of water allocations across a wide range of different land use types in Northern Victoria.

In unpacking one particular methodology used to digitally represent the knowledge ecology of the NVWPM, the concept of a “public knowledge space” will by hypothesised. Details of what is meant by “space”, “knowledge space” and “public knowledge space” will all be discussed. In so doing, several important functions of these different spaces will be proposed. It will be concluded that more attention needs to be paid to the capabilities required to digitally represent and model different knowledge spaces if the full benefits of instruments such as the NVWPM are to be realised in a wide range of local, social, cultural and commercial decision-contexts.