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Among the various initiatives directed at helping the intelligence community tackling today’s security challenges, the EU FP7 research project LEILA (Law Enforcement and Intelligence Learning Applications) focuses on ‘serious games’ for improving the quality of intelligence analysts’ training. LEILA investigates innovative methodologies for the development of core competencies required for performing intelligence analysis. Building upon an in-depth study of intelligence analysts’ learning needs and inspired by a multitude of disciplines, LEILA developed a set of serious games, embedded into four comprehensive ‘learning experiences’ dedicated to intelligence analysis trainees. While the main target of LEILA is law-enforcement intelligence analysts, the competencies addressed by its learning experiences are potentially relevant to analysts operating across various sectors.
cognitive biases, inference schemes, intelligence analysis, law enforcement; learning, LEILA, security, serious games, training
[1] Carter, D.L. & Schafer, J.A. The future of law-enforcement intelligence. Policing 2020: exploring the future of crime, communities, and policing, ed. Schafer, J.A., U.S. Federal Bureau of Investigation: Washington DC., pp. 226–256, 2007.
[2] Carter, D.L., Law enforcement intelligence: a guide for state, local, and tribal law enforcement agencies. CreateSpace Independent Publishing Platform: Lavergne, TN, 2012.
[3] Krizan, L., Intelligence essentials for everyone, Books for Business: Washington DC, 2003.
[4] The Intelligence Cycle; Central intelligence agency, available at: https://www.cia.gov/ kids-page/6-12th-grade/who-we-are-what-we-do/the-intelligence-cycle.html
[5] The six steps in the intelligence cycle; U.S. Department of Homeland Security, Fusion Center, available at: http://fusioncenter.golearnportal.org/rawmedia_repository/b4e1b56dcf572f53b00ee43a31b34223?/document.pdf
[6] Intelligence Branch; Federal Bureau of Investigation, available at: https://www.fbi.gov/ about/leadership-and-structure/intelligence-branch
[7] Zanasi, A., (ed). Text mining and its applications to intelligence, CRM and knowledge management, WIT Press: Southampton, UK, 2007.
[8] Gill, P. & Phytian, M., Intelligence in an insecure world, Polity Press, Cambridge, UK, 2012.
[9] Richelson, J.T., The US intelligence community, Westview Press: Boulder, CO, 2011.
[10] Marrin, S., Training and educating U.S. intelligence analysts. International Journal of Intelligence and Counter Intelligence, 22(1), pp. 131–146, 2009. https://doi.org/10.1080/08850600802486986
[11] Goodman, M. & Omand, D., What analysts need to understand: the king’s intelligence studies programme. Studies in Intelligence, 52(4), 2008.
[12] Johnston, R., Analytic culture in the U.S. intelligence community. an ethnographic study, Government Printing Office: Pittsburgh, PA, 2005.
[13] Training; IntelligenceAnalysis.net, available at: http://www.intelligenceanalysis.net/ Training.htm
[14] Moore, D.T., Critical thinking and intelligence analysis, National Defense Intelligence College Press: Washington D.C., 2006.
[15] Heuer, R.J., Psychology of intelligence analysis, Books Express Publishing: Saffron Walden, UK, 2010.
[16] Libes, D. & O’Connell, T., Applying serious games to intelligence analysis. Proceedings of SEA ’07, the 11th IASTED International Conference on Software Engineering and Applications, ACTA Press: Anaheim, CA, pp. 311–317, 2007.
[17] Dunbar, N.E., et al., Implicit and explicit training in the mitigation of cognitive bias through the use of a serious game. Computers in Human Behavior, 37, pp. 307–318. https://doi.org/10.1016/j.chb.2014.04.053
[18] Gee, J.P., What video games have to teach us about learning and literacy, St. Martin’s Griffin: New York, NY, 2007.
[19] Sirius; IARPA, available at: https://www.iarpa.gov/index.php/research-programs/Sirius
[20] Dunbar, N.E., et al., MACBETH: Development of a training game for the mitigation of cognitive bias. International Journal of Game-Based Learning, 3(4), pp. 7–26, 2013.
[21] Richey, M.K., The mind’s lie: games-based learning for critical thinking. The International Journal of Humanities Education, 12(1), 2014.
[22] Game-Based Learning and Intelligence Analysis: Current Trends and Future Prospects; E-International Relations, available at: http://www.e-ir.info/2013/08/07/game-basedlearning-and-intelligence-analysis-current-trends-and-future-prospects/
[23] Rudnianski, M., Sadana, U. & Bestougeff, H., Bayesian networks and games of deterrence. Recent advances in game theory and applications, eds. Petrosyan, L. & Mazalov, V., Springer Verlag, pp. 201–224, 2016.