Final Project Teaching Presentation#
Logistics#
6 minutes per group
Format will be Google Slides to make transitions between groups easier
Sign up for a presentation slot linked here:
9 slots for 5/01 (Thu)
5 slots for 5/06 (Tue)
Guidelines#
You should cover the causal roadmap up through the design step.
Thus your presentation does not have to include any analysis, estimation, or interpretation of results.
Prior knowledge: provide a motivation and background for the problem.
Think of yourself as a policymaker or scientist pitching the significance of your domain to the general public – why do we care about the causal question, and how can your study help us understand it?
Question: state your specific causal question and the associated causal quantity.
Design:
Introduce your dataset and how it is connected to the causal question.
Describe your study strategy and the relevant treatment, outcome, and covariate variables via your DAG.
Explain the assumptions needed for your study design and how you are handling them in your project.
Wrap-up: Conclude with a brief forward-looking statement about what you hope to learn from your analysis and how it might inform future work in this domain.
Peer feedback#
During the presentations, you will give feedback to your classmates according to the following template:
Please provide one constructive point (though feel free to add more) for the two sections below. Your feedback will help the presenting group improve their final submission.
What I enjoyed#
Things you can consider:
Clear motivation
Interesting dataset
Creative study strategy for answering the causal question
Clarity in assumption assessment or DAG design
Thoughts on study design and assumptions#
Things you can consider:
Are their treatment and control groups appropriately defined?
How did they connect the measured outcome in the dataset to the causal question they are interested in?
How was their assessment of assumptions handled for their study design?
Are there any additional confounders/covariates that they could consider?
Rubric#
Section |
Points |
---|---|
Prior knowledge and motivation |
1 |
Question: causal quantity |
0.5 |
Design: data, study DAG, and assumptions |
1.5 |
Peer feedback |
2 |
Total |
5 |