Working with Data Project

You will identify a data source (which might be a combination of datasets) that relates to a research question of your choosing. You’ll apply the seven principles from Data Feminism to this data source and give a critical reflection of the data with regard to your question. Part of this critical reflection will be a plan for analysis that would allow you to answer your research question in the context of a critical view of these data.

Data Feminism
According to Catherine D’Ignazio & Lauren F. Klein, the seven organizing principles of data feminism are: (1) Examine power, (2) Challenge power, (3) Elevate emotion & embodiment; (4) Rethink binaries & hierarchies, (5) Embrace pluralism, (6) Consider context, and, (7) Make labor visible.

The Proposal
In the proposal, you will identify the question and then describe the context. What is gained from this analysis? What are the costs? Pay particular attention to unintended consequences, which may be anticipated from similar kinds of projects.

The structure of the proposal is as follows:
A. Introductory paragraph in which the question is identified in context.
B. A description of a data source (or sources) that can be used to answer the question. This will include considerations about data quality (methods, validity, reliability).
C. A plan for analysis.

The Report
The visualization and report will be due at the end of the semester. The structure of the report will be as follows:
A. Introduction
B. Critical reflection of the data (application of the seven principles)
C. Plan for analysis and any preliminary analysis/visualization
D. Reflection on ethical approaches to answering the research question.
E. Additional resources (this might be other sources of data or a statement about what good data would be)

Author: Timothy Shortell, Ph.D.

Timothy Shortell, Ph.D., Professor & Chair, Department of Sociology, Brooklyn College CUNY