A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

Engineering leaders rarely get perfect information, so the job is learning how to decide, experiment and communicate clearly ...

Abstract: Accurately inferring the causality among variables is essential for diagnosing the root causes of industrial process faults. The multimode characteristics of industrial processes augment the ...

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The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

Jennifer Black receives funding from the Social Sciences and Humanities Research Council of Canada, the Canadian Institutes of Health Research, and Michael Smith Health Research BC among other ...

After tariffs rose, the U.S. lost thousands of manufacturing jobs. As part of our video series on Trump’s second term, WSJ’s Gavin Bade takes us to Motor City to learn why—and to meet the winners of ...

We are story-telling animals. Stories are our core sense-making tools. We constantly spin narratives in our head – about the world, other people, what we are doing and seeing. The stories we tell ...

The discussion challenges the narrative that large builders are hoarding land, showing that regulatory barriers and slow land approvals are the real obstacles to housing affordability. Local ...

Corrected: A previous version of this story misstated Devin Kearn’s university affiliation. A recent change to the definition of dyslexia put forth by an international group of researchers and ...