Pauliceia 2.0: collaborative mapping of the histor... - BV FAPESP
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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Pauliceia 2.0: collaborative mapping of the history of São Paulo, 1870-1940

Full text
Author(s):
Luis Ferla [1] ; Karine Reis Ferreira [2] ; Fernando Atique [3] ; Andrew G. Britt [4] ; Karla Donato Fook [5] ; Jeffrey Lesser [6] ; Cristiane Miyasaka [7] ; Daniela Musa [8] ; Thomas D. Rogers [9] ; Nandamudi Vijaykumar
Total Authors: 10
Affiliation:
[1] Universidade Federal de São Paulo - Brasil
[2] Instituto Nacional de Pesquisas Espaciais - Brasil
[3] Universidade Federal de São Paulo - Brasil
[4] University of North Carolina. School of the Arts
[5] Instituto Tecnológico de Aeronáutica - Brasil
[6] Emory University. Halle Institute for Global Research
[7] Prefeitura Municipal de Campinas - Brasil
[8] Universidade Federal de São Paulo - Brasil
[9] Emory University
Total Affiliations: 10
Document type: Journal article
Source: História, Ciências, Saúde : Manguinhos; v. 27, n. 4, p. 1207-1223, 2020-12-18.
Abstract

Abstract This article presents new approaches for investigating the past using digital technologies. “Pauliceia 2.0: collaborative mapping of the history of São Paulo (1870-1920)” is an open-source project intended to broadly engage with the public through collaborative methodologies. This text discusses the concept, current status, and prospects of this project, and presents it as a case study to discuss the relationship between digital technologies and historical methods. The product of this journey (at least the outcome intended by the authors and the other team members listed at the end of the article) is meant to assign new meaning to the project at the juncture between digital humanities, public history, and open science. (AU)

FAPESP's process: 16/04846-0 - Paulicéia 2.0: a spatiotemporal platform for digital humanities
Grantee:Luis Antonio Coelho Ferla
Support Opportunities: Research Grants - eScience and Data Science Program - Regular Program Grants