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Crime Forecasting in the Digital Age: A Theoretical Framework

    Research output: Contribution to journalArticlepeer-review

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    Abstract

    he 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.
    Original languageEnglish
    Pages (from-to)1-9
    JournalSocrates
    Volume26
    Issue number1
    DOIs
    Publication statusPublished - 1 Oct 2023

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 16 - Peace, Justice and Strong Institutions
      SDG 16 Peace, Justice and Strong Institutions

    Keywords*

    • criminal offence
    • crime
    • forecast
    • forecasting

    Field of Science*

    • 5.5 Law

    Publication Type*

    • 1.2. Scientific article included in INT1 or INT2 category journal of ERIH database

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