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The Role of Race in Forecasts of Violent Crime
Race and Social Problems, 2009This paper addresses the role of race in forecasts of failure on probation or parole. Failure is defined as committing a homicide or attempted homicide or being the victim of a homicide or an attempted homicide. These are very rare events in the population of individuals studied, which can make these outcomes extremely difficult to forecast accurately.
Richard A. Berk
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Forecasting Future Crime Rates
Journal of Contemporary Criminal Justice, 2023Despite its importance for testing criminological theories and informing crime control policy, forecasting crime rates has all but disappeared from criminology. We argue for a resurgence of crime forecasting in the study of crime trends. As an example of the value, as well as the challenges, of forecasting, we engage in a forecasting exercise based on ...
Richard Rosenfeld, Mark Berg
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2021
This chapter suggests that the theory of convenience can be applied in forecasting white-collar crime probability in organizations. Three discrete levels represent the probability for white-collar crime occurrence in the organization. Level one has the green color with zero to one-third likelihood of crime (probability of 0%–33%).
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This chapter suggests that the theory of convenience can be applied in forecasting white-collar crime probability in organizations. Three discrete levels represent the probability for white-collar crime occurrence in the organization. Level one has the green color with zero to one-third likelihood of crime (probability of 0%–33%).
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Introduction to crime forecasting
International Journal of Forecasting, 2003Abstract This short paper introduces the six papers comprising the Special Section on Crime Forecasting. A longer title for the section could have been “Forecasting crime for policy and planning decisions and in support of tactical deployment of police resources.” Crime forecasting for police is relatively new.
Wilpen Gorr, Richard Harries
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2018
Organizations in the private sector must do strategic planning over long-term horizons to locate new facilities, plan new products, develop competitive advantages, and so forth. Consequently, long-term forecasts of demand, costs of raw materials, etc. are important in the private sector.
Gorr, Wilpen +3 more
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Organizations in the private sector must do strategic planning over long-term horizons to locate new facilities, plan new products, develop competitive advantages, and so forth. Consequently, long-term forecasts of demand, costs of raw materials, etc. are important in the private sector.
Gorr, Wilpen +3 more
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Forecasting Crime Using the ARIMA Model
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008In this paper, time series model of ARIMA is used to make short-term forecasting of property crime for one city of China. With the given data of property crime for 50 weeks, an ARIMA model is determined and the crime amount of 1 week ahead is predicted. The modelpsilas fitting and forecasting results are compared with the SES and HES.
Peng Chen, Hongyong Yuan, Xueming Shu
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Forecasting Crimes Using Autoregressive Models
2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2016As a result of steadily increasing urbanization, by 2030 more than sixty percent of the global population will live in cities. This phenomenon is stimulating significant economic and social transformations, both positive (such as, increased opportunities offered in urban areas) and negative (such as, increased crime and pressures on city budgets ...
Cesario E., Catlett C., Talia D.
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Science, 2016
Police are turning to big data to stop crime before it happens. But is predictive policing biased—and does it even work?
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Police are turning to big data to stop crime before it happens. But is predictive policing biased—and does it even work?
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Analysis of Crime Rates in Rizal Province using Crime Forecasting Models
Proceedings of the 2020 the 3rd International Conference on Computers in Management and Business, 2020Crime is one of the major problems of countries all over the world, and the Philippines is no exception. Crime prediction and prevention strategies are vital for police forces to face inevitable increases in the crime rate as a side effect of the growth of the urban population.
Eugenia R. Zhuo, Jake Libed
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Adaptive Matrix Model for a Crime Forecasting Task
2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP), 2020In the police activities of any country, there are two major directions: identifying signs of crime preparation and preventing its commission (prediction), as well as crime prevention by eliminating the conditions for its commission (prevention). At the same time, various theories are explaining that the place and time of the crime occur at random, and
Dmytro Uzlov +3 more
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