Photo credit: Dana Quigley

Identifying and Removing Barriers for Women to
​Pursue Graduate Degrees in Data Science and AI

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Women are significantly underrepresented in U.S. graduate school programs focused on Data Science (DS) and Artificial Intelligence (AI). In this paper, we seek to inform academia, industry, government, and nonprofits about:

• The current situation and trends in the workforce and in education
  
• The common barriers that women experience when preparing for, entering, or completing graduate programs
  
• A suite of possible programmatic approaches to effectively reduce barriers and increase women’s participation to a critical threshold

Executive Summary

WiDS Academy

The WiDS Academy a proposed program in which partner colleges and universities would deliver program elements to their students with central support from WiDS. It would provide programming that intervenes early, reaches a broad population, and addresses barriers throughout a student’s undergraduate years.

The goal is to increase awareness, facilitate consideration, and promote preparedness for graduate study in DS/AI. 

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% of CS Master's Students
​that are U.S. Women

% of U.S. Data Scientists
​with Graduate Degrees

Proposed representation
​% threshold (30 x 30)