2/07/18, Interview with the Commissioner Bret Walker SC
30/07/18, Invited to give evidence to the Commission
9 February 2018, Invited Speaker at the Murray-Darling Basin Authority’s Mini-Symposia 11: Informing Basin Plan Implementation – the role for further social and economic analysis’, AARES International Conference, Adelaide, Australia, 6-9 February 2018.
Adamson, D. ‘Lessons from Implementing the Murray-Darling Basin Plan', Efficiency-oriented water management: From panaceas to actual solutions, Isola di S. Giorgio Maggiore, Venice, Italy 12-13 October, 2017. (Program)
Organiser/Speaker at EAERE Policy Session: Water Scarcity and Drought Management: The Role of Economic Instruments in the EU and Australia’, special policy session on Maretat the European Association of Environmental and Ecological Economists, 22 EAERE Annual Conference, ETH Zurich, 22-25 June 2016.
Adamson, D. ‘Economic Instruments for Water Reform in Australia and Europe to Mitigate Drought or Other Water Scarcity Impacts’, UQ Water Forum, 5 July 2016. (slides)
2015 While technically this presentation lies outside of the time frame of my DECRA, it was presented the day before I won my DECRA and the talk covers a lot of detail concerning the thinking behind my DECRA
Adamson, D. 2015, Modelling awareness & Decision Making: The Case of Climate Change and Water Resources, Fondazione Eni Enrico Mattei (FEEM) Isola di San Giorgio Maggiore, 30124 Venice, 29 October 2015, (here)
AbstractWe can classify future problems and their contingencies into 3 level of increasing unawareness: White Swans, Grey Swans and Black Swans (Taleb 2007). White Swans are problems with known sets of probable outcomes and contingencies (i.e. complete awareness). Grey Swans are problems that are known and we are aware that the complete set of outcomes and contingencies is unknown. Black Swan problems involve unforeseen problems (i.e. totally unaware). Climate change is a classic Grey Swan. Climate change is expected to alter the mean, variance, timing and intensity of rainfall. The spatial events of temporal changes in rainfall will determine the volume of water available for irrigation within a river basin. The future realized emission path is unknown and when combined with the complexities of climate modeling and downscaling issues associated with hydrological responses, an incomplete problem set exists. This poses complex problems for decision makers to ensure that environmental, social and economic objectives are achieved. This paper illustrates the differences of allocating water resources using a state contingent analysis versus an expected value approach in Australia’s Murray-Darling Basin. The comparison of these two approaches helps illustrates the need to be able to separate the environmental signal and the management response to that signal. By separating the management response inductive reasoning and differential learning about climate change can be represented. This representation then helps prevent a Grey Swan turn Black.