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Update issue templates
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Doc Jaan Altosaar Li authored Jul 9, 2023
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- [ ] Read about the principles of interaction at interactionprinciples.org.
> Which do you agree with? Disagree with? Are these too reductive or too broad?
- [ ] Read about methods ethnographers and anthropologists use in fieldwork to collect "data" about culture through beliefs, practices, rituals implicit in observed patterns of behavior and visual data: https://drive.google.com/file/d/1F9zr1pHesGPSOTtXLQu4hTxOGu7zoIRx/view?usp=sharing
- [ ] Finally, read about the Panama Papers and consider "how global elites make their money and the ways that they make meaning out of the moral dilemmas they face by having to play in the gray.": https://drive.google.com/open?id=1SIm9mUP5uzlwFYQUMe-EITKMjMY4l9FR&usp=drive_fs
> In the first several weeks of the data thinking bootcamp, you learned to use software (a Jupyter notebook, linked [here](https://nbviewer.org/github/onefact/datathinking.org-codespace/blob/main/notebooks/princeton-university/week-1-visualizing-33-million-phone-calls-in-new-york-city.ipynb)) to analyze ten times as many rows of data as there are Panama Papers (~11.5 million versus 33 million). Consider your goals in data thinking, the Just Data Lab, and career writ large. What aspects of context, access, status games (alluded to in the appendix here), roles of gender, race, ethics, morality, economics, sociology and anthropology might affect the questions you ask, who you get to work with? What support do you need to align these often disparate prerequisites to reach your goals and practice data thinking at the scale of patterns in tens or hundreds of millions of datapoints as you have the tools and skills to do now? Feel free to share in Zulip and we will do our best to help.
- [ ] Supplemental -- if you are curious to learn more, read the excerpts from Black Heart, Laughing Saints, and When Your Data Make You Cry: https://drive.google.com/file/d/1gIMYoXXPDLybhqYjLCDffxX7dLTatKZX/view?usp=drive_link

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