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Risk & uncertainty

From its inception, Analytica was designed to analyze risk and uncertainty — unlike spreadsheet applications which require special add-ins. Analytica’s fully integrated features for sensitivity analysis, scenario analysis and Monte Carlo simulation make it remarkably simple to treat risk and uncertainty in your models. Here are some examples of how organizations are using these methods.

Flood risk management in Ho Chi Minh city

After a devastating flood in Ho Chi Minh City, the World Bank used Analytica to develop a robust strategy to help the city manage and reduce risks of future flooding.

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Earthquake insurance: cost-effective modeling

An analysis of earthquake scenarios and insurance rates helped a San Francisco county optimize insurance premiums and move toward a long-term risk management strategy.

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Are cows worse than cars for greenhouse gas?

Turns out that methane from farm animals generates more greenhouse gas emissions than cars, trucks, trains, and planes combined.

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Integrated assessment of climate change

The Integrated Climate Assessment Model (ICAM) has generated a wide range of valuable insights into how to adapt to global climate change.

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Controversy to consensus: offshore oil platforms

Offshore oil in California is highly controversial. But, Lumina’s decision model on decommissioning oil...

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Could humans lose control over advanced artificial intelligence?

A group of researchers on AI is using Analytica influence diagrams to map out arguments and scenarios to explore ...

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Is the Fermi Paradox due to the Flaw of Averages?

Why haven't we not encounter aliens? How to resolve this paradox by treating the parameters of the Drake Equation as uncertain -- an example of Sam Savage's Flaw of Averages.

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Pi Day comparison: Monte Carlo vs Latin hypercube vs Sobol sampling

This blog will be visiting the dart-throwing method of estimating π and comparing how fast or slow different sampling techniques converge to the actual value...

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Risk & uncertainty clients