Data Science for Empowerment
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Our research highlights the factors that encourage greater participation of data professionals, particularly women and girls and other marginalized individuals, in data science professions. Additionally, it identifies barriers and structural obstacles that limit access to training in data professions for these groups. These findings can contribute to shaping national data professions curricula and anticipating the need for data related jobs. Additionally, these findings could lead to developing actions needed to narrow the gender gap in science to avoid loss of vast human resources that could contribute to national development and further perpetuate gender inequality.