Day Five: Thick Data for Big Data

SDS 237: Data Ethnography

Lindsay Poirier
Statistical & Data Sciences, Smith College

Fall 2023

Imagine you were an ethnographer attending Astro Hack Week. Write a quantitative research question for a study you might conduct. Now write a qualitative research question.

Turn to your neighbor and discuss:

  • How would these research projects look different?
  • What kind of data would you collect?
  • How would you interpret the data differently?

Reading Discussion

Discliplinary Conventions

  • What is considered a relevant research question?
  • What kind of arguments are made?
  • What kind of data is collected/produced/presented?
  • How is collaboration valued?
  • When/how is data shared?

Disciplinary Genres

  • Is text written in active or passive voice? Personal pronouns?
  • Are subheadings chosen based on academic conventions?
  • What kind of evidence is presented to persuade the reader? Statistics? Anecdotes?
  • In what ways are research methods explicated?
  • How and with what sort of detail are objects of study described?
  • What role do poetics and metaphor play in the text? Can you identify emotion?
  • What reflexive moves (self-reflection) does the author make? How do they elaborate their standpoint in/through the text?

What is ethnography?

  • Study of human cultures
    • Culture often defined as “semiotic”
    • Ethnographers aim to interpret the underlying meanings of surface actions and expressions
    • Make the “familiar strange”
  • Often characterized as interpretivist and qualitative
  • Typically involves extended, immersive fieldwork
  • Has historically been a solo discipline
  • Qualitative data rarely shared

Methods of Ethnography

  • Participant Observation
    • Observing interaction and behaviors “in the field”
  • Interviewing
    • Engaging in semi-structured conversations with informants
  • Archival Research
    • Curating and interpreting historical documents and artifacts
  • Discourse analysis
    • Interpreting the cultural meaning interwoven in texts and speech

Tools of Ethnography

  • Field Notebooks
    • Document thick descriptions of observations
  • Recording Devices
    • Audio and video documentation of interviews
  • Coding Software
    • Draw out consistent themes of notes and interviews

What is thick description?

  • Describe in the “thinnest” terms possible what is happening in this image.
  • Thick description moves towards interpreting its cultural meaning.
  • Example drawn from a famous 1973 chapter by Clifford Geertz: “Thick Description: Towards an Interpretive Theory of Culture.”

Practicing Thick Description

Image source: XKCD, https://xkcd.com/1838/

Creative Commons Attribution-NonCommercial 2.5 License.

How might we interpret the role of hex stickers in the R community?

Image source: Beiers, Sophie. 2020. “Tips & Tricks from the Newbies of Rstudio::Conf2020.” ACLU Tech & Analytics (blog). March 13, 2020. https://medium.com/aclu-tech-analytics/tips-tricks-from-the-newbies-of-rstudio-conf2020-5ccc780ba0e7.

Fieldnotes Assignment

  • Submitted via your GitHub portfolio
  • Must be >300 words
  • Must include and define one Knowledge and Understanding concept
  • Must be about a data environment encountered in the past two weeks
  • Must not only describe, but also interpret a data environment

Recommendations

  • Discern something very small - the smaller the better - for your first field note.
  • Examples include one headline, a poster, one line of code, etc.
  • Stick with prompts and concepts that we’ve already learned (e.g. discourse, epistemology).
  • Review the rubric on GitHub

Thursday’s Reading

  • What are Biruk’s research questions?
  • What does Biruk make known about her assumptions/beliefs/values as she begins to interpret data?