Potential modules for computational research

[bensoltoff]

In no particular order:

• IRB
• Reproducibility in science
• Web data (APIs/web scraping)
• Synthesizing literature and writing a theory section
• Presenting results and analysis in a paper
• Identifying good papers vs. bad papers
• Designing a research poster
• Iterative analysis
  • How to best compare and evaluate different empirical models
  • p-hacking
  • Storing results in a lab notebook/tracking different iterations of the model
• Bayesian non-parametric inference
• Frequentist vs. bayesian inference
  • Compare the different schools of thought
  • Interpreting frequentist results vs. Bayesian results
• "Deep learning"
• Transitioning from exploratory/descriptive work to a final paper
• Running an experiment using Amazon Mechanical Turk
• Neural networks
• Hierarchical/multilevel data
• Estimating and interpreting interaction terms in regression analysis
  • Brambor et al paper on interpreting interaction terms
• OLS/GLM diagnostic tests

Plus an unknown number of workshops for refining their projects over the course of the term. Not sure we need to do one every week, but I can definitely see the use of 5-6 over the term

[bensoltoff]

• Time series data

[bensoltoff]

• Missing data and multiple imputation

[rickecon]

• Paper writing sections
  • Data section of paper
  • Theory section of paper
  • Estimation section of paper
  • Results or experiment section of paper
  • Introduction, Conclusion, Abstract