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Scientific integrity: analysis of Misconduct in images of scientific papers

Grant number: 18/15864-4
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): November 01, 2018
Effective date (End): October 31, 2019
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Anderson de Rezende Rocha
Grantee:João Phillipe Cardenuto
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:17/12646-3 - Déjà vu: feature-space-time coherence from heterogeneous data for media integrity analytics and interpretation of events, AP.TEM

Abstract

Recently, due to the rising number of scientific papers being published, the number of cases of misconduct in the scientific community is increasing, generating financial investments and professional disappointments by irreproducible research. This project aims to assist the scientific community, verifying the integrity of papers, by automating forensic processes in their images, through artificial intelligence and computer vision methods. In its pipeline, we propose a process that begins with a raw digital paper in PDF format (standard in the literature), followed by the identification and segmentation of images likely to be fraudulent and, finally, the identification of possible frauds in those images. With the help of partner institutions - Defense Advanced Research Projects Agency (DARPA) and University of Notre Dame- , initial studies in biomedical papers point relevant results in the detection of fraud, which indicate the potential for this project. Finally, it is important mention that the proposed work is integrated into the DéjáVu research project, whose objective, among others, is focused on information integrity.

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