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This project is already taken and is no longer available for the 2023 HPCC Systems Intern Program

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Project Description

Nature has left us with some very subtle signals within data to indicate the causal relationships that generated that data.  These signals can be hard to detect, prone to statistical error, and while we do have mechanisms to construct causal models from data, at this point, they tend to be brittle, expensive, and unreliable. This makes the HPCC Systems Platform a natural environment for doing Causality research and application, since far more data can be processed and causal discovery algorithms can parallelize nicely, leading to much faster causal analysis results.

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More information about the HPCC Systems Causality Toolkit is available in our blog Causality 2021Toolkit.