Women in Data

While great gender parity strides have been made in fields like web development and user experience (UX) design, data science "" relatively newer concentration"" still has a ways to go.
Among technical education fields, data science is shown to have the lowest representation of female students, at just 35.3%. That lack of diversity is a serious issue. AI algorithms are susceptible to bias, so building them requires a team that includes a wide range of views and experiences. This session will focus on how to build an organization that supports the recruitment, mentorship, and career development of women in data.