Seeking Value in Uncertainty
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.
RiskLab at CSIRO’s Data61 is affiliated with the RiskLab global network as the RiskLab node in Australia. RiskLab at CSIRO’s Data61 is a multi-disciplinary centre for developing the latest solutions in using AI for revealing inter-dependency relationship among major economic variables, stochastic scenario generation and optimal decision under uncertainty.
RiskLab at CSIRO focuses on delivering innovative solutions and services in quantitative risk and optimal decisions under uncertainty for finance, insurance, mining, agriculture and cyber security.
Interactive Multivariate Clustering and Forecast of Economic Variables:
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Single Variable Clustering and Future Predictions
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Double Variable Clustering and Future Predictions
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Three- to Five-Variable Clustering and Future Predictions
Further information:
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Discovering Relationships Among Economic Variables using Machine Learning Techniques
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Interactive Crop Yield Insurance Decisions under Uncertainty
Interactive Optimal Decisions in Superannuation
Please see our interactive simulation by clicking on the link below (using either Google Chrome or Firefox):
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Stage 1 – SUPA Model
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Stage 2 – SUPA Accumulation
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Stage 3 – SUPA Decumulation
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Stage 4 – Pension Multiplier
Further information:
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Superannuation and Asset Management
- Interactive Optimal Decisions in Asset Allocation
- Dynamic Asset Allocation Strategy
Interactive Mining Valuation
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Optimal Decisions for Resource Extraction under Uncertainty
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An Analytic Platform for Decision-Making under Uncertainty
AI Algorithm to Reveal Complex Relationship
What are the relationships between Copper, Nickel, Coal, Crude Oil, Silver and Gold as well as ASX200 and Hang-Sen index? The following graph shows their inter-dependency: