In the first installment of this series, we recounted our initial steps in using the Data Powered Positive Deviance (DPPD) method to find public spaces in Mexico City that were safer for women than other spaces with similar characteristics. This included clustering AGEBs — the basic geostatistical areas used in Mexico City — into three homogenous groups and using the number of female victims of crimes — that took place in public spaces — in investigation files as our performance measure to identify positive deviants. In this second installment, we share our latest progress.
GIZ and the United Nations Development Programme (UNDP) in Mexico are collaborating with the Government of Mexico City to carry out this project, particularly,