Surveys: In order to understand the landscape of urban poverty, we must collect big datasets that comprise a representative sample of urban poverty. P2P employs highly trained and experienced field staff to conduct informal exploratory missions as well as comprehensive formal surveys. We survey not only individual households but also entire neighborhoods for factors like infrastructure, legal status and community dynamics.

Data Analysis: We let the data speak for itself. Working with our own datasets as well as outside sources available on the public domain, our data scientists parse through and tease out quantitative, qualitative and spatial insights about slums and urban poverty.

Spatial Analysis: We use a variety of spatial platforms to predict the locations of slums across the city of Bangalore. By analyzing where we’ve been in combination with insights from our survey date, we have developed methods of identifying and tracking the dynamics of different types of slums using satellite imagery.

Ethnographic Photonarratives: Urban poverty cannot be understood and represented by data alone. That’s why we compose in-depth photo essays, focusing on one or two families in a given neighborhood, as a way to represent and understand the day-to-day realities and variances of urban poverty. These stories hope to illuminate perspectives that often slip through the cracks in societal views and discourses on the development of urban cities. These ethnographies in turn work in conversation with our quantitative and spatial data to give us a more complete understanding of the manifestations and variances of urban poverty.