Breakout Discussions

Before we get started with hands-on work within the Jupyter Notebook environment, we want to have some smaller group discussions about challenges we typically face in our job contexts. We will divide into breakout rooms and tackle the individual datasets. More context on them is below.

Overview

• Overview of the sample datasets
• Discussion of challenges involving large or complicated data
• Share outs, reflections, and ideas

Key Questions

• What ethical tensions exist regarding the collection and public release of this data?
• What is the risk of privacy disclosure in each dataset?
• Do the people detailed in these data have a right to privacy?
• Should this data or data like it be open to the public?
• How could data misrepresent the reality?
• Are there any immediate difficulties involved with answering these questions?

More context

Group One: RealtyTrac property transaction and foreclosure data

• More information about the data at guides.nyu.edu/realtytrac/interpret

Group Two: L2Political voter files

• More information about the data at guides.nyu.edu/l2political

Group Three: InfoUSA Historical Residential Consumer file

• A codebook is available at https://nyu.app.box.com/file/806852966005

Group Four: New York State Delaware County Real Property tax parcel data

• Public records showing property values and tax assessed values. A codebook is available at this link