- Paralleling is the process of using alternative research/investigative resources (such as OSINT) to find exact or associated information that has come from a closed source. This is particularly useful for preserving the integrity and security of hidden and embedded assets, additionally this approach can be used to find and document a chain of evidence from intelligence leads.
- Clustering is a technique that utilizes a collection of strong and, or, weak ‘signals’ to predict the bigger picture. Weak indicators can be particularly useful in dealing with situations such as human trafficking, illegal migration, arms and explosives manufacture, and in relation to terrorist funding. Each individual item isn’t a useful indicator of the overall potential development, however, when clustered together, these automated captured items may reveal areas of interest that indicate a wider problem. OSINT can be particularly useful for feeding in big data crawling results to help further validate or expand stronger human-led analysis .
- An important goal for data collection at the border is to enhance situational awareness about flows of mobility and the potential risks associated with them and to support decisions about border crossings.
Donohue, C. (2015). Technology and digital media as tools for teaching and learning in the digital age.