[S4] 02 Environment and Basic Python

[S4] 06 Intro to Network Science

[S4] 23 Quantifying Disparities

[S4] 17 Team Power Dynamics

[S4] 14 Causal Inference

[S4] 04 Statistical Learning

[S4] 30 Discussion Panel

[S4] 24 Self-Citations

[S4] 28 Umetrics New Data and Findings

[S4] 25 Epistemicide and Epistemic Injustices in the Information Field

[S4] 03 Numpy Pandas Matplotlib

[S4] 13 Causal Inference for Complex Observation Data

[S4] 12 Bias in AI

[S4] 20 Reproducibility How to Say What You Mean and Explain Why it Matters

[S4] 09 Practical NLP for Scientific Text Mining

[S4] 18 Discussion Panel

[S4] 11 Learning Spatial Data

[S4] 19 Echos of Science in a Pandemic

[S4] 07Mentorship Networks

[S4] 08 Centralities in Networks