Evaluation the effects of Brazilian protected areas in local communities based on the use and re-use of biological, environmental and socioeconomic data

• Grant number: 20/03514-9
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: April 01, 2020
• End date: March 31, 2024
• Field of knowledge: Interdisciplinary Subjects
• Agreement: Belmont Forum
• Principal Investigator: Pedro Luiz Pizzigatti Corrêa
• Grantee: Marina Jeaneth Machicao Justo
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 18/24017-3 - Building new tools for data sharing and re-use through a transnational investigation of the socioeconomic impacts of protected areas (PARSEC), AP.R

Abstract

The main goal of this project is to develop a data-science model that will provide a cyberinfrastructure based on integrated management and the data life cycle used for the analysis and visualization of biological, biodiversity, climate and socioeconomic data available of Protect Areas in Brazil. The challenge of this research plan is the identification, mapping, and understanding of the Brazilian scenario through the use and re-use of biological, environmental and socioeconomic data. This research will be developed together with the international consortium team of PARSEC project, data communities (RDA, ESIP), society journals (AGU), and representatives of e-infrastructures for data attribution (e.g., DataCite and ORCID). (AU)

Scientific publications

(7)

(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)

MACHICAO, JEANETH; NGO, QUYNH QUANG; MOLCHANOV, VLADIMIR; LINSEN, LARS; BRUNO, ODEMIR. A visual analysis method of randomness for classifying and ranking pseudo-random number generators. INFORMATION SCIENCES, v. 558, p. 1-20, MAY 2021. (20/03514-9, 16/18809-9)

MACHICAO, J.; BEN ABBES, A.; MENEGUZZI, L.; CORREA, P. L. P.; SPECHT, A.; DAVID, R.; SUBSOL, G.; VELLENICH, D.; DEVILLERS, R.; STALL, S.; et al. Mitigation Strategies to Improve Reproducibility of Poverty Estimations From Remote Sensing Images Using Deep Learning. EARTH AND SPACE SCIENCE, v. 9, n. 8, p. 16-pg., 2022-08-01. (18/24017-3, 20/03514-9)

MACHICAO, JEANETH; BRUNO, ODEMIR M.; BAPTISTA, MURILO S.. Zooming into chaos as a pathway for the creation of a fast, light and reliable cryptosystem. NONLINEAR DYNAMICS, v. 104, n. 1, p. 12-pg., 2021-02-22. (20/03514-9, 16/18809-9)

MACHICAO, JEANETH; BRUNO, ODEMIR M.; BAPTISTA, MURILO S.. Zooming into chaos as a pathway for the creation of a fast, light and reliable cryptosystem. NONLINEAR DYNAMICS, FEB 2021. (16/18809-9, 20/03514-9)

VALLE, JOAO; MACHICAO, JEANETH; BRUNO, ODEMIR M.. Chaotical PRNG based on composition of logistic and tent maps using deep-zoom. CHAOS SOLITONS & FRACTALS, v. 161, p. 10-pg., 2022-06-27. (21/07377-9, 21/08325-2, 18/22214-6, 22/01935-2, 20/03514-9)

MACHICAO, JEANETH; CRAIGHERO, FRANCESCO; MASPERO, DAVIDE; ANGARONI, FABRIZIO; DAMIANI, CHIARA; GRAUDENZI, ALEX; ANTONIOTTI, MARCO; BRUNO, ODEMIR M.. On the Use of Topological Features of Metabolic Networks for the Classification of Cancer Samples. CURRENT GENOMICS, v. 22, n. 2, p. 88-97, 2021. (20/03514-9)

ENCINAS QUILLE, ROSA VIRGINIA; DE ALMEIDA, FELIPE VALENCIA; BORYCZ, JOSHUA; PIZZIGATTI CORREA, PEDRO LUIZ; FILGUEIRAS, LUCIA VILELA LEITE; MACHICAO, JEANETH; DE ALMEIDA, GUSTAVO MATHEUS; MIDORIKAWA, EDSON TOSHIMI; DE SOUZA DEMUNER, VANESSA RAFAELA; RAMIREZ BEDOYA, JOHN ALEXANDER; et al. Performance Analysis Method for Robotic Process Automation. SUSTAINABILITY, v. 15, n. 4, p. 19-pg., 2023-02-01. (19/21693-0, 20/03514-9)