The Algorithmic Decision Theory team at Data61, CSIRO is one of the leading groups working on foundational and applied research focussed on decision making in multi-agent environments. The research involves multi-disciplinary approach drawing upon optimisation, social choice, game theory, and multi-agent systems. The team is part of the Decision Sciences research group at Data61. Previously the team was part of NICTA.
ASPIRE (Advisory System for Processing, Innovation & Resource Exchange) is an online marketplace which intelligently matches businesses with potential remanufacturer, purchasers or recyclers of waste resources.
RiskLab at CSIRO’s Data61 provides the avenue for industry to engage directly with the extended network of technologists and academia to come up with innovative solutions and tools in quantitative risk and decisions-under uncertainty.
Swift Swift is a toolkit for the end-to-end processing, simulation and analysis of floods. Users can design custom workflows by building on Swift’s computational shallow water solver and incorporating various input, processing and visualisation components, each tailored for flood modelling. The Swift framework provides hydrodynamic and coupled hydraulic modelling capability with analysis tools for mitigation […]
Amicus is a new multi-platform computer application developed by CSIRO that enables the easy calculation of expected fire behaviour from burning conditions that you enter.
We model human decision processes using methods of symbolic representation and reasoning-based processes, and optimize human-machine interaction based upon characterisation and measurement of cognitive performance.
CSIRO is exploring how social networks affect absorptive capacity in open innovation collaborations.