Outline

1. Introduction
2. Why Collect Data?
3. Applications
4. Conclusion

Things I do

• Demography

  • Fertility
  • Mortality

• Sociology

  • Inequality
  • Race

• Computational Social Science

• Social Network Analysis

• Natural Language Processing

Research Question

Does data limit the question you can ask?

Think about auto.dta…

• How does price of cars change over time?
• How does preference for cars differ by age/race/ gender/place?

Data is everywhere!

• Social Media
• Smart Columbus
• Websites/Apps

Sephora Cry Data

Source: Connie Ye (@crabbage_ on Twitter)

See Sephora Cry Data

1. Information on Social Media

Research Question: What are people’s perceptions on Fertilty?

Twitter Data

• Parse Tweets with keywords relevant to fertility (e.g. babies, diapers, baby shower, breastfeeding)
• Positive/negative?
• Objective/subjective?
• Determine gender using user’s name
• Time and day of tweet
• Device info

2. Combining Traditional Data with New Sources of Information

Research Question: How does access to transportation relate to spatial inequality?

COTA Bus Lines

• 120+ Bus lines and 3200+ bus stops
• Matrix
• Network analysis
• Combine with food desert/income/race data

Bus Network

3. Using Technology to get Data

Research Question: Are user-based rating systems (e.g. Uber, Lyft, Airbnb) fair?

Airbnb Data

• 250,000+ Airbnb listings in 28 US cities
• Host picture
• face recognition
• skin color information (RGB, HSV, YCrCb, LAB)
• Machine learning (scale 1-5)
• text analysis (NLP)

Variables

• skin tone
• price of house
• superhost?
• number of reviews?
• expected rating based on text reviews

What do you want to do?

• get a job/work?
• grad school?

• Don’t let data limit your research question
• Data is everywhere!
  • self-logging
  • Websites
  • social media

Interested?

Get upto 3 credit hours twoards your Experiential Learning Requirement -

choi.1443@osu.edu https://www.eungangchoi.com