01/27/2026
Guest Lecture | Pauliceia 2.0: An Open-Source and Collaborative Historical Mapping Project
Date: Wednesday January 28, 2026
Time: 4:00 PM - 5:30 PM
Location: Gordon-White Building (GWB) Multipurpose Room, 2.206
Join us for a guest lecture by Dr. Luis Ferla (Professor at the Federal University of Sรฃo Paulo) and Luanna Mendes do Nascimento (graduate student at the Federal University of Sรฃo Paulo) on Pauliceia 2.0: An Open-Source and Collaborative Historical Mapping Project.
Pauliceia 2.0 is an open source and collaborative historical mapping platform developed through a partnership between the Federal University of Sรฃo Paulo, the National Institute for Space Research, the Public Archives of Sรฃo Paulo, and Emory University.
The Pauliceia 2.0 platform (currently in beta release) provides access to a wealth of information about the spatial history of Sรฃo Paulo, especially between 1870-1940. Professors, students, and community members have utilized Pauliceia 2.0 to conduct historical research, create new map layers with novel datasets, and generate maps. Multiple groups, for instance, have used the platform to remap long-buried spaces significant to African descendants in the city of Sรฃo Paulo. In addition to its historiographic contributions, the project has also produced technical innovations, such as a geolocation tool that facilitates the more accurate location of historical street addresses. Aligned with the principles of Open Science, the technology and methodology behind Pauliceia 2.0 will be made widely and freely available to other researchers, who can deploy it in other urban contexts. Most recently, the Pauliceia 2.0 team has begun to deepen its community engagement through participatory mapping. The team sent representatives to the NEH Community Deep Mapping Institute in the summer of 2025 (one of only two groups from outside of the US and the only from South America).
In the public talk, Ferla and Mendes will introduce the platform, highlighting its functionality and use-cases as well as the computational infrastructure that supports it.