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