Summary of Enhancing Law Enforcement Training: a Gamified Approach to Detecting Terrorism Financing, by Francesco Zola et al.
Enhancing Law Enforcement Training: A Gamified Approach to Detecting Terrorism Financing
by Francesco Zola, Lander Segurola, Erin King, Martin Mullins, Raul Orduna
First submitted to arxiv on: 20 Mar 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Computers and Society (cs.CY); Social and Information Networks (cs.SI); Computational Finance (q-fin.CP)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Machine learning educators can summarize this study as follows: This research describes an innovative approach to enhancing technology transfer and increasing adult learning in the field of combating cyber-criminal activities. The authors combined learning and training methods with gamification techniques, such as hackathons, to engage law enforcement officers and other professionals in understanding new trends and criminal modus operandi related to terrorism financing. The study evaluated the methodology using quizzes, contest results, and engagement metrics, showing promising results. Specifically, participants showed significant progress in their knowledge and skills, with over 85% considering the implemented use cases suitable for their investigations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Gamification can make learning fun! In this study, researchers found a way to help law enforcement officers learn about new technologies that fight cyber-criminal activities. They used games like hackathons to teach people how to understand and combat terrorism financing. The study showed that people enjoyed the gamified approach and got better at their jobs. Participants learned quickly and thought the training was helpful for their work. |
Keywords
* Artificial intelligence * Machine learning
