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Crime Forecasting in the Digital Age: A Theoretical Framework Cover

Abstract

The aim of the study is to describe the criminological framework of crime forecasting based on special literature, practice materials and research. Analytical, synthesis, inductive, deductive and descriptive research methods are used in the article. The authors conclude that the development of full, comprehensive and highly reliable crime forecasts is a laborious and complex process. Predictive measures should be designed in a more urgent manner – this might encompass the reporting of anticipated crimes in advance, as well as the indication of changes in the overall structure of crime and dangerous trends of a specific type of crime. Consequently, there must be a warning effect in order to prevent possible adverse trends.

Language: English
Page range: 1 - 9
Published on: Oct 31, 2023
Published by: Riga Stradins University
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2023 Aldona Kipāne, Andrejs Vilks, published by Riga Stradins University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.