ISCN Global Mixer: Identifying safe public spaces for women in Mexico City with the DPPD Method

Finding so-called positive deviants in a community and promoting their solutions is referred to as the Positive Deviance approach. Building on this, the Data Powered Positive Deviance (DPPD) initiative combines traditional and non-traditional data to identify and understand positive deviance in new ways. The method includes both quantitative analyses to identify the positive deviants and explain their performance, as well as qualitative analysis, dealing with understanding factors in the field that contribute to this outperformance.

The GIZ Data Lab is running a pilot project to identify positively deviant public spaces for woman in Mexico City. The DPPD method can not only support in detecting those spaces, but also explain the underlying reasons, as Robin Nowok will show in his presentation.

The event is part of the ISCN Global Mixer, a series of events organized by the International Smart Cities Network. The presentations cover a wide range of topics related to international smart city approaches and provide exciting insights into urban digitalization worldwide - in just 30 minutes.