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Big data, social dynamics and natural language

Grant number: 19/08442-9
Support Opportunities:Scholarships in Brazil - Post-Doctoral
Start date: July 01, 2019
End date: November 30, 2020
Field of knowledge:Humanities - Philosophy
Agreement: Trans-Atlantic Platform for the Social Sciences and Humanities
Principal Investigator:Maria Eunice Quilici Gonzalez
Grantee:Ana Cláudia de Jesus Golzio
Host Institution: Faculdade de Filosofia e Ciências (FFC). Universidade Estadual Paulista (UNESP). Campus de Marília. Marília , SP, Brazil
Associated research grant:16/50256-0 - Understanding opinion and language dynamics using massive data , AP.R

Abstract

In this post-doctoral project, the grantee will participate in the Brazilian team for the research project "Understanding opinion dynamics and language evolution using massive data" (T-AP project). Specifically, the grantee will work with the other members of the Brazilian team on the part of the T-AP project that involves research on language evolution by means of "big data" analyses. The grantee will bring a knowledge of linguistics and semiotics to the investigation, will assist in the development of computational models of language dynamics, and will investigate the following question: Can big data be used to bring relevant evidence to bear in support of the hypothesis that natural languages have most of the characteristics of complex adaptive systems?

News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
CONIGLIO, MARCELO E.; FIGALLO-ORELLANO, ALDO; GOLZIO, ANA C.. First-order swap structures semantics for some logics of formal inconsistency. JOURNAL OF LOGIC AND COMPUTATION, v. 30, n. 6, p. 1257-1290, . (16/21928-0, 19/08442-9)
GOLZIO, A. C.; PUERTA-DIAZ, M.; MARTINEZ-AVILA, D.. A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility. EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, v. 8, n. 32, . (16/50256-0, 19/08442-9)