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Gender Bias in Remote Pair Programming: Acknowledgments and References

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Table of Links

Abstract and 1 Introduction

1.1 The twincode platform

1.2 Related Work

2 Research Questions

3 Variables

3.1 Independent Variables

3.2 Dependent Variables

3.3 Confounding Variables

4 Participants

5 Execution Plan and 5.1 Recruitment

5.2 Training and 5.3 Experiment Execution

5.4 Data Analysis

Acknowledgments and References

ACKNOWLEDGMENTS

We would like to thank the students who volunteered to participate in the pilot studies at the University of California, Berkeley and the University of Seville. We particularly acknowledge Vron Vance’s assistance regarding inclusive language around gender identity.


This work has been partially supported by FEDER/Ministerio de Ciencia e Innovación – Agencia Estatal de Investigación under projects OPHELIA (RTI2018–101204–B–C22), HORATIO (RTI2018- 101204–B–C21), and Junta de Andalucía under project EKIPMENTPLUS (P18–FR–2895).

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Authors:

(1) Amador Durán, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]);

(2) Pablo Fernández, SCORE Lab, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]);

(3) Beatriz Bernárdez, I3US Institute, Universidad de Sevilla, Sevilla, Spain ([email protected]);

(4) Nathaniel Weinman, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]);

(5) Aslı Akalın, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]);

(6) Armando Fox, Computer Science Division, University of California, Berkeley, Berkeley, CA, USA ([email protected]).


This paper is available on arxiv under CC BY 4.0 DEED license.