Wednesday

Time	Topic
9:00	Breakfast, warm-up (what data analysis tools have you used?)
9:15	Presentation: tidy data.
9:45	Activity: unpacking headlines.
10:15	Demo: data analysis basics. Example tool: Excel online.
10:45	Break
11:00	Presentation: text as data. Demo: Voyant Tools.
11:45	Discussion: most relevant data/wrangling/analysis
noon	Lunch
12:45	Activity: analyze data using Excel online or Voyant Tools.
1:15	Share out and discussion
1:30	Presentation: algorithmic accountability.
2:00	Break
2:15	Discussion: data/digital ethics in disciplines. How can this be integrated into courses?
2:45	Activity: work on ethics integration into existing course. Look at sample syllabi for ideas.

Resources

Tidy data

• Tidy data, Hadley Wickham
• Open Refine, for data cleaning

Text data

• Tulane libguide on text data
• St Thomas libguide on text data
• Gendered Language in Teacher Reviews, Ben Schmidt
• The trouble with sentiment analysis, Rachel Tatman
• An overview of ethical considerations in TDM, Stacy Reardon; Rachael Samberg; and Timothy Vollmer
• Text processing problems with non-English languages, Tena Belinić

Data ethics

• Global Indigenous Data Alliance
• Turning Data Around, Jer Thorp
• Manifesto for data practices
• Integrated ethics labs for computer and data science

Activities

• Unpacking headlines
• Analyzing data

Presentations