ds-modules/INFO-290

Name: INFO-290

Owner: Berkeley Data Science Modules

Description: Privacy & Security Lab

Created: 2017-06-21 00:58:22.0

Updated: 2018-03-30 08:52:52.0

Pushed: 2018-03-30 08:52:51.0

Homepage: null

Size: 32420

Language: Jupyter Notebook

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README

INFO-290 Privacy & Security Lab

Instructor: Chris Hoofnagle

Developers: Vanessa Qian, Jack Zhang, Ronald Walker

Interactive labs for a graduate class in the School of Information, exploring techniques, risks, and the moral hazards that come with stripping data of personally identifying information, and the potential reidentification of individuals for supposedly “deidentified” data. The module is broken into two parts:

1. Identifying Daredevil from simulated data sets
2. Clustering target groups from Instacart data [[DataHub link]](http://datahub.berkeley.edu/user-redirect/interact?account=ds-modules&repo=INFO-290&branch=master&path=instacart_profiling/Identifying%20Groups%20of%20People%20Using%20Instacart%20Data.ipynb)

If you're a non-Berkeley student and want interact with the notebooks, feel free to click the Binder link!