Crime Forecasting in the Digital Age: A Theoretical Framework

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.