Mapping the Bias of Police Records
Organised by Manchester Metropolitan University
Mapping the Bias of Police Records: An Assessment of the Impact of Police Data Bias for Crime Mapping
Police-recorded crimes are used by police forces to document community differences in crime and design spatially-targeted strategies. However, crimes known to police are affected by selection biases driven by underreporting.
This project, funded by the Manchester Statistical Society, and led by Dr Angelo Moretti (Manchester Metropolitan University) and Dr David Buil-Gil (University of Manchester) investigated whether crime statistics aggregated at small spatial scales are affected by larger bias than maps produced for larger geographies. In the final event of the project (online due to the pandemic), papers on place and time in criminology, and open science for crime and policing research, will be delivered. There will also be two presentations focusing on how to assess the impact of police data bias and synthetic data in criminology.
This may be of interest for anyone using police-recorded crime data for geographic crime analysis, including researchers, police forces, government agencies and industry.
This Seminar will be held on Microsoft Teams, please click here to join.
To register or contact the organisers please visit their Eventbrite page.