A causal-AI enterprise analytics platform integrates fragmented commerce, CRM, advertising, and operational data to support business ...
In a perspective published in Psychoradiology, researchers from Shanghai Jiao Tong University confronted causal inference in clinical neuroscience research and advocate for more clarity and ...
A Baylor economics professor has been invited to return to Harvard for a second year as a visiting professor, continuing his ...
Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
Explore books and recent publications from Columbia SPS Technology Management faculty on AI, leadership, cybersecurity, ...
Using the US Food and Drug Administration’s (FDA) plausible mechanism framework to allow for greater use of causal inference ...
This paper describes threats to making valid causal inferences about pandemic impacts on student learning based on cross-year comparisons of average test scores. The paper uses Spring 2021 test score ...
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