Equity in Healthcare

Women in Data Science (WiDS) Worldwide is dedicated to increasing the participation of women in data science to benefit societies globally.

Healthcare inequity poses a significant global challenge. Addressing this issue can have a profound positive impact on women's health, which is crucial for the prosperity of societies and economies. This datathon aims to investigate whether disparities in treatments exist and to understand the underlying factors driving these biases, including demographic and societal influences.

In the first datathon challenge, we explored the relationship between socioeconomic factors and health equity. In this upcoming challenge, we are expanding upon that analysis to examine how climate patterns influence access to healthcare.