+ SITUATED DATA [National Science Foundation postdoctoral research]

SÃO PAULO, BRAZIL / 2015 - 2017

Situated Data: Revealing Redevelopment’s Dynamic Outcomes, Constructing Empirical Decision-Making

Sponsor
National Science Foundation #1513395

PARTICIPATORY POST OCCUPANCY ANALYSIS | SLUM UPGRADING | MIXED FORMAL - INFORMAL HOUSING TYPES | CITIZEN - SOURCED DATA

Informal settlements change as citizens and governments redevelop, rebuild, and otherwise “upgrade” existing built environments. Yet there is a lack of data about the nexus of housing types and communities that result from these dynamic processes. As a result, residents are limited in participating in the transformation of their own neighborhoods, and public knowledge about the efficacy of public policy for urban transformation remains limited.

Situated Data is a transdisciplinary project aimed at combining participatory, field-based, and remote geospatial data collection methods to reveal the effects of redevelopment in specific urban settlements and make urban planning more inclusive and improve conditions in poor neighborhoods. Working from the understanding that data about urban informality is shaped by inequity and missing, supported by a National Science Foundation postdoctoral fellowship I partnered with community organizations in two of São Paulo’s largest settlements to construct and implement a participatory process for assessing redevelopment impacts, as well as a visual data infrastructure that residents can use to advocate on their own behalf for neighborhood improvement programs and projects.

Watch a film presented at the United Nations Habitat III conference.

Related publications Stiphany, 2019a; Stiphany, 2019b; Stiphany 2019c; Stiphany and Ward, 2019; Stiphany 2021; Stiphany, Ward, and Perez, 2021