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Open-source intelligence (OSINT) are gathered from open sources. OSINT can be further segmented by the source type: Internet/General, Scientific/Technical, and various HUMINT specialties, e.g. trade shows, association meetings, and interviews.
The web browser is a powerful OSINT tool that provides access to numerous websites and both open source and proprietary software tools that are either purpose-built for open source information collection or which can be exploited for the purposes of either gathering of open source information or to facilitate analysis and validation to provide ...
Measurement and signature intelligence (MASINT) is a technical branch of intelligence gathering, which serves to detect, track, identify or describe the distinctive characteristics (signatures) of fixed or dynamic target sources. This often includes radar intelligence, acoustic intelligence, nuclear intelligence, and chemical and biological ...
Knowledge discovery is an iterative and interactive process used to identify, analyze and visualize patterns in data. [1] Network analysis, link analysis and social network analysis are all methods of knowledge discovery, each a corresponding subset of the prior method.
Heuer outlines the ACH process in considerable depth in his book, Psychology of Intelligence Analysis. [1] It consists of the following steps: Hypothesis – The first step of the process is to identify all potential hypotheses, preferably using a group of analysts with different perspectives to brainstorm the possibilities. The process ...
The concept of open scientific data has developed in parallel with the concept of scientific data.. Scientific data was not formally defined until the late 20th century. . Before the generalization of computational analysis, data has been mostly an informal terms, frequently used interchangeably with knowledge or informat
In April 2022, Matthias Scheffler and colleagues argued in Nature that FAIR principles are "a must" so that data mining and artificial intelligence can extract useful scientific information from the data. [20] However, making data (and research outcomes) FAIR is a challenging task, and it is challenging to assess the FAIRness. [21]
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [ 1 ]