Identifying safe(r) public spaces for women in Mexico City. Part 2: From quantitative to qualitative analysis

Mexico City. GIZ-UNDP.
Recap of the first steps of the pilot, recounted in the first blog post of this series.

Finding positive deviants: Which public spaces are safe(r) for women?

Validation: How do we know if a positive deviant AGEB is one we can learn from in the field?

Data Powered Positive Deviance, quantitative analysis serves to frame the photograph and qualitative analysis to focus it, complementing each other to generate a more detailed image.

Fieldwork design

a. Sample selection

b. Design of qualitative research techniques

About the Data Powered Positive Deviance initiative

Contact:

References:

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Building the world’s largest learning network around development challenges. 91 Labs in 115 countries. http://acceleratorlabs.undp.org/

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UNDP Accelerator Labs

UNDP Accelerator Labs

Building the world’s largest learning network around development challenges. 91 Labs in 115 countries. http://acceleratorlabs.undp.org/

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