Evidence suggests that women have often demonstrate higher loan repayment rates than men, despite facing greater loan approval barriers, indicating the need for gender-intentional credit scoring. To learn more, a virtual workshop is being offered for lending service providers, credit risk managers, data scientists, and others working on credit scoring techniques and implementation strategies using Excel, R, and Python.