BSC Crime and Justice Statistics Network
Professor Allan Brimicombe
Prof. Kate Bowers, Prof. Shane Johnson (UCL), Pat Mayhew OBE (Consultant Criminologist), Prof. Ravinder Barn (Royal Holloway University), Dr Ian Brennan (university of Hull), Dr Les Humphreys (University of Lancaster), Matt Ashby (Nottingham Trent University), Prof. Andromachi Tseloni (Nottingham Trent University).
Observers: John Flatley, Mark Bangs (ONS), Sophie Riley, Damon Wingfield (HO), Steve Ellerd-Elliott (MoJ) and Cassie Barton (Parliament).
The Crime and Justice Statistics Network (CJSN) is a specialist network of the British Society of Criminology and is a co-opted group of the Royal Statistical Society Statistics User Forum (RSS SUF).
Membership of the network is unrestricted. Its aims are to:
- Provide an arena for debate about the production and publication of crime and justice statistics;
- Engage and consult with the key producers of governmental crime and justice statistics;
- Work with the producers of crime and justice statistics to improve their quality and accessibility;
- Work to improve perception and public trust in crime and justice statistics, where such improvements of trust is warranted – thus working closely with official from MoJ, HO, ONS, Parliament;
- Support the proper interpretation of crime statistics;
- Encourage greater analytic use of criminal justice statistics and surveys.
To achieve these aims the CJSN engage in activities that include:
- Mounting Seminars, Meetings & conferences;
- Disseminating information through the JISCmail list CRIM-BCS-USERS;
- Responding to events and/or requests for information;
- Facilitating where possible funding for analysis.
The RSS SUF can be found here
Big Data, AI and the future of crime and justice
Thursday 23rd May 2019, 10:00-16:00
University of East London, Docklands Campus, E16 2RD. Lecture room WB.G.02
We’re familiar with data about the number and types of crimes reported, where they happen, and when. But how else can data be used to make society safer and the criminal justice system more just and fair? From using AI to take down extremist content online, the police disrupting hotspots using predictive analytics, to researchers giving police new insight into the perpetrators and victims of crime. This conference brings together an exciting line-up of speakers from government and academia to address some of the most exciting and challenging issues around the use of data and AI in law and order.
Tea and coffee served from 09:30.
10.00-10.10: Introduction: Allan Brimicombe, UEL; Chair, Crime & Justice Statistics Network
10.10-10.40: Iain Bell, Deputy National Statistician, ONS: Crime data: big picture, long view
10.40-11.10: Rupert Chaplin, Home Office Analysis and Head of Data Science: Data Science at the Home Office
11.10-11.40: Jonathan Roberts, Chief Data Scientist, Ministry of Justice: title tbc
11.40-12.05: Cristina Magder, UK Data Service: Big data, AI – disclosure and data quality
12.05-12.30: Panel Q&A
12.30-13.30: Lunch break
13.30-14.00: Anjali Mazumder, Alan Turing Institute: Data Science/AI to combat modern slavery, human trafficking and other organized, exploitive crimes
14.00-14.30: Nicolas Malleson, Geographical Information Science, University of Leeds: AI and Data Science for Policing
14.30-15.00: Martina Feilzer, Criminology and Criminal Justice, Bangor University: The promises and risks of predictive policing
15.00-15.30: Helen Hodges, Wales Centre for Public Policy, Cardiff University: Is Big always better? Lessons from Youth Justice
15.30-16.00: Panel Q&A and close
Attendance is free, but please register in advance here
- Strong participation in the BSC conference in Nottingham from 7-9 July 2016
- CJSN/Police Network conference in September 2016
- CJSN Winter 2016 conference.
You can join our JISCmail list
Contact the Network