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Big Data

Big data in criminology and criminal justice through the lens of the business literature Introduction Big data - what is it?Big data challenges Shaping the culture The process underlying big data and data analytics The current context on big data in criminology and criminal justice Big data and criminology Big data and criminal justice The current volume References The data are everywhere: integrating criminology and epidemiology and improving criminal justice Introduction Current focus Big data criminology Big data informing criminal justice and enhancing public safety'Big data obstacles and solutions Conclusion Notes References Big data and criminology from an AI perspective Introduction Big data and artificial intelligence Machine learning Data mining Al in criminology Case studies Fiction Minority Report Persons of Interest Reality Crime Anticipation System PredPol Operation LASER What are the pros and cons?Trap Wire What does the future hold for Al within the field of criminology?Notes References Future applications of big data in environmental criminology Introduction Making better small data with big data Big data, data mining, and machine learning in environmental criminology'Predictive analysis and big data Co-offending network analysis Co-offending networks Co-offending network analysis in practice Organised crime group detection Organised crime group detection using community detection Co-offence prediction Directions and issues moving forward for big data in environmental criminology References Leveraging police incident data for intelligence-led policing Introduction State of the art Hot spot policing Method Results Similarity among all incident records Administrative attributes Geographical distribution Focusing on criminal incidents Focusing on priority 1 incidents Social networks built from co-presence Conclusion References The challenges and concerns of using big data to understand cybercrime Introduction Big data Big data and traditional crime The problem of cybercrime Big data techniques applied to cybercrime Forums, bulletin boards, and newsgroups Websites, blogs, and texts Email as a data source Developing metrics for hidden forms of victimisation Challenges and dilemmas Future solutions to cybercrinie References Genetics, bioethics, and big data Genetic testimony in judicial systems Genetics and bioethics in the age of big data Big data and biobanking in the criminology context The future of big data and genetics in criminology References Big data: generic roadmaps as global solutions for practice Introduction Roadmap for creating a culture receptive to big data Roadmap for implementing a systematic, data analytics-driven process Conclusion References

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