Developing a Research Agenda for Human-Centered Data Science

By Cecilia M. Aragon, Clayton J. Hutto, A. Echenique, Brittany Fiore-Gartland, Yun Huang, Jinyoun Kim, Gina Neff, Wanli Xing, Joseph B. Bayer. 2016

53 citations recorded by the source corpus.

Subfields: Computer Science Applications, Safety Research, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Michael J. Muller
2. Amy X. Zhang
3. Dakuo Wang
4. Gina Neff

In Safety Research

1. Michael J. Muller
2. Amy X. Zhang
3. Dakuo Wang

In Sociology and Political Science

1. Anissa Tanweer
2. Brittany Fiore-Gartland
3. Michael J. Muller
4. Gina Neff

Citations in the corpus

• Critique and Contribute: A Practice-Based Framework for Improving Critical Data Studies and Data Science (2017, background): “Rather, we think that by learning from examples of best practices for a socially informed, or ‘‘human-centered,’’ 47 data science, we can improve how data science is done.”
• How do Data Science Workers Collaborate? Roles, Workflows, and Tools (2020, methodology): “Studies have been conducted to understand data science work practices [34, 43, 50, 54, 61, 67, 75, 76, 81], sometimes using the label of Human Centered Data Science [4, 66].”