How analysts think: how do criminal intelligence analysts recognise and manage significant information?

Groenewald, Celeste and Wong, B. L. William and Attfield, Simon and Passmore, Peter J. and Kodagoda, Neesha (2017) How analysts think: how do criminal intelligence analysts recognise and manage significant information? In: 2017 European Intelligence and Security Informatics Conference (EISIC 2017), 11-13 Sept 2017, Athens, Greece.

[img]
Preview
PDF - Final accepted version (with author's formatting)
Download (345kB) | Preview

Abstract

The Criminal Intelligence Analyst's role is to create exhibits which are relevant, accurate and unbiased. Exhibits can be used as input to assist decision-making in intelligence-led policing. It may also be used as evidence in a court of law. The aim of this study was to determine how Criminal Intelligence Analysts recognise and manage significant information as a method to determine what is relevant for their attention and for the creation of exhibits. This in turn may provide guidance on how to design and incorporate loose and flexible argumentation schemas into sense-making software. The objective is to be informed on how to design software, which affords Criminal Intelligence Analysts with the ability to effortlessly determine the relevance of information, which subsequently could assist with the process of assessing and defending the quality of exhibits.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 23713
Notes on copyright: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Useful Links:
Depositing User: Simon Attfield
Date Deposited: 07 Mar 2018 19:14
Last Modified: 08 Sep 2018 13:59
URI: http://eprints.mdx.ac.uk/id/eprint/23713

Actions (login required)

Edit Item Edit Item

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year