Digital Journal

From bias to understanding: A causal path toward trustworthy recommendation

Now, a research team led by the University of Michigan has brought this rigorous frontier to one of AI’s most ubiquitous and influential applications: recommendation systems. Their groundbreaking work ...
Science Daily

A causal theory for studying the cause-and-effect relationships of genes

Researchers developed theoretical foundations for methods that could identify the best way to aggregate genes into modules and efficiently learn the underlying cause-and-effect relationships among ...
Nature

Causal Set Theory and Quantum Gravity

Causal Set Theory (CST) offers a compelling approach to reconciling quantum theory and general relativity by postulating that spacetime, at its most fundamental level, is discrete rather than ...
ascopubs.org

Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized?

In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
JSTOR Daily

The pauper's problem: chance, foreknowledge and causal decision theory

In a letter to Wlodek Rabinowicz, David Lewis introduced a decision scenario that he described as "much more problematic for decision theory than the Newcomb Problems". This scenario, which involves ...
EurekAlert!

A causal theory for studying the cause-and-effect relationships of genes

CAMBRIDGE, MA – By studying changes in gene expression, researchers learn how cells function at a molecular level, which could help them understand the development of certain diseases. But a human has ...