# 2021-01-28

## Introductions
_name, year/major, project

- Sarah Brown, 1st year professor/CS, all?
- Brianna MacDonald, 5th yr Senior, MLSim/FairML
- Jacob Lussier, Junior/Computer Science, Wiggum
- Emmely Trejo Alvarez, Senior/Computer Science, Fairness ML Model
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## Admin

[Lab website](https://ml4sts.com/)

Add or update your page [in the repo](https://github.com/ml4sts/ml4sts.github.io/tree/main/_people)

template text:

---
layout: page
name: Your Name Here
role: undergraduate
importance: 2
---


<!-- img: /img/
github: username
website: http://name.com -->

Resources & instructions: [handbook](https://ml4sts.com/handbook/)

[handbook repo](https://github.com/ml4sts/handbook)

## Semester plans

### Papers

- Intro ML
- [MBML Book](https://www.mbmlbook.com/toc.html) -2/4 Bri
- intro & ch 1
- common fairness papers
- [FairML Book](https://fairmlbook.org/)
- Ch 2 2/11 Kweku (can read ch 1 for context if you'd like)
- [measure & mismeasure](https://arxiv.org/abs/1808.00023) 2/18 Kweku
- [Roles for computing in social change](https://dl.acm.org/doi/abs/10.1145/3351095.3372871) 3/1 Warith

- COMPAS papers
- visualization
- user studies
- how to
- example papers
- fairness preferences
- tradeoffs in fairness
- impossibility theorems
- [Trade-Offs between Fairness and Interpretability in Machine Learning](https://crcs.seas.harvard.edu/files/crcs/files/ai4sg-21_paper_24.pdf)
- Fairness tools
- [Aequitas](https://arxiv.org/pdf/1811.05577.pdf)
- [Fairvis](https://arxiv.org/pdf/1904.05419.pdf)
- [Blackbox auding](https://dl.acm.org/doi/pdf/10.1145/2783258.2783311)

### Professional Development & Skills

- [how to read papers](https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf) (2/4)
- writing reserach papers
- writing abstracts (2/25), 3/1
- organizing papers
- preparing figures
- How to present a paper (3/08)
- patterns in research code (3/1)