We provide insights on causality inquiries into several areas:

1. Causality and causal modeling
2. Causality and health disparities
3. ‘Causal’ mediation
4. Causality with spatial data
5. Causality with repeated data
6. Causal complication: cycles
7. Combining it all: opioid treatment illustration

We are showcasing existing research, as well as innovative course content from the UConn community.

We illustrate some methodological and technical solutions for common research efforts that tackle cause-effect questions.

If you see a need for corrections, contact Emil Coman at coman@uchc.edu.