Best Practices for Fostering Diversity and Inclusion in Data Science: Report from the BIDS Best Practices in Data Science Series

R. Stuart Geiger, Orianna DeMasi, Aaron Culich, Andreas Zoglauer, Diya Das, Fernando Hoces de la Guardia, Kellie Ottoboni, Marsha Fenner, Nelle Varoquaux, Rebecca Barter, Richard Barnes, Sara Stoudt, Stacey Dorton, Stéfan van der Walt

SocArXiv
February 1, 2019

Abstract: What actions can we take to foster diverse and inclusive workplaces in the broad fields around data science? This paper reports from a discussion in which researchers from many different disciplines and departments raised questions and shared their experiences with various aspects around diversity, inclusion, and equity. The issues we discuss include fostering inclusive interpersonal and small group dynamics, rules and codes of conduct, increasing diversity in less-representative groups and disciplines, organizing events for diversity and inclusion, and long-term efforts to champion change.



Featured Fellows

R. Stuart Geiger

BIDS Alum – ETHNOGRAPHER

Orianna DeMasi

EECS
BIDS Alum – Data Science Fellow

Andreas Zoglauer

Space Sciences Laboratory
BIDS Alum - DATA SCIENCE FELLOW

Diya Das

Molecular & Cell Biology
BIDS Alum – DATA SCIENCE FELLOW

Kellie Ottoboni

Statistics
BIDS Alum – DATA SCIENCE FELLOW

Marsha Fenner

Communications/Program Manager

Nelle Varoquaux

Statistics
BIDS Alum - DATA SCIENCE FELLOW

Rebecca Barter

Statistics
BIDS Alum – Data Science Fellow

Richard Barnes

Energy & Resources Group, EECS
BIDS Alum – Data Science Fellow

Sara Stoudt

Statistics
BIDS Alum - Data Science Fellow

Stacey Dorton

Administrative / Operations Manager

Stéfan van der Walt

Senior Research Data Scientist