- What is a model?
- How are models useful?
- Real world examples
- Jargon alert!

- Supervised learning
- Unsupervised learning
- Structured learning
- Active learning

- Discriminative
- Generative
- Frequentist
- Bayesian ✓

- Model preparation
- Model parameterization
- Model selection
- Model criticism
- Model augmentation
- Humans in the loop ✓✓

- Contextual Inquiry & Design
- Sampling
- Etic/Emic Qualitatitive Analysis
- Cognitive Walkthroughs
- Heuristic evaluations
- Decision-theoretic models
- Data Visualization

We will go through a step-by-step walkthrough of using latent variable models for modeling, understanding and potentially predicting self-harm. We will deliberate on the use of the above tools, explore ways of dealing with sparsity of variables and ask how hierarchical __Poisson matrix factorization__ and __model criticism__ in particular can help us understand self-harm. Readers should ask about De Finette's theorem of exchangablity.

- Physics-pretense
- Physics-envy
- The Post-Facto Critic
- Structural impediments in academia

- Human-in-the-loop approx. posterior inference
- Model augmentation
- Celebration of canonical cases

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