knife crime Archives - Datactics https://www.datactics.com/tag/knife-crime/ Unlock your data's true potential Sun, 28 Jul 2024 21:54:30 +0000 en-GB hourly 1 https://wordpress.org/?v=6.7.2 https://www.datactics.com/wp-content/uploads/2023/01/DatacticsFavIconBluePink-150x150.png knife crime Archives - Datactics https://www.datactics.com/tag/knife-crime/ 32 32 Hate Crime Classification using NDQIS https://www.datactics.com/blog/hate-crime-classification-using-ndqis/ Thu, 18 Aug 2022 09:48:53 +0000 https://www.datactics.com/?p=20135 June 2022 was a significant milestone in the timeline of LGBTQ+ rights in the UK. Not only was it Pride Month, but this year marked the 50th anniversary of the first Pride event to be held in the UK. Back in 1972, the parade in London attracted around 2,000 participants, whereas over 1.5 million people […]

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Hate crime classification using NDQIS

June 2022 was a significant milestone in the timeline of LGBTQ+ rights in the UK. Not only was it Pride Month, but this year marked the 50th anniversary of the first Pride event to be held in the UK. Back in 1972, the parade in London attracted around 2,000 participants, whereas over 1.5 million people were expected to visit the city for this year’s parade. This in itself is worthy of a blog post, as Datactics prides itself on the diversity of its workforce and the inclusivity within our growing teams. However not only is this a cause which we can all support, but analysing crimes against this demographic is something in which we are actively engaged on a daily basis.  All too frequently we hear about news of attacks on members of the LGBTQ+ community: physical attacks on individuals, offensive content posted online, vandalism to property and so on. As much as we’d like to think that we’re a more tolerant society than we used to be, unfortunately the data suggests otherwise. Recorded hate crimes motivated against a person’s sexual orientation have increased every year from 2016.[1] 

So where does Datactics come in, and what difference are we making? 

Firstly, let me speak bluntly. We’re not on the front line pursuing offenders or supporting victims. This responsibility lies with a wide range of people from police officers to magistrates and from charity workers to counsellors, all of whom have my utmost respect and admiration for the challenging work which they do. Instead, we’re directly involved in the development of a service which will provide the government and police constabularies with tangible data relating to hate crime. Areas of concern will consequently be identified, which in turn will influence local and national policies and feed into reporting for the Office for National Statistics, support decision-making and ensure that resources are deployed effectively and in a timely manner. I’m referring to the National Data Quality Improvement Service- NDQIS.

Hate crime classification using NDQIS

From our previous blog posts, you may be aware that NDQIS is already being used within the context of knife enabled crime in England and Wales,[2] and working closely with crime specialists in the Home Office, we are now making excellent progress in developing equivalent processes for analysing hate crime. In a nutshell, the NDQIS system ingests police reports and uses preconfigured logic to categorise these as being hate crimes or not. It does so by using semantic analysis[3] of “plain English” free text crime records, combined with labels which have been used to flag the offence type and any relevant aggravating factors. Often this is a fully automatic, computer assisted classification process, but for the more ambiguous records, manual review by a data steward may be required. This person will be a suitably trained member of the police force which recorded the crime, and will be able to use their experience and judgement to determine whether or not a hate crime is likely to have occurred. 

What exactly constitutes a hate crime? 

While I have so far discussed hate crimes based upon a person’s sexual orientation or gender identity – or even perceived persuasions and identities – there are, of course, people within our society who are victims of hate crime for other reasons. The most obvious of these groups are offences involving people from different racial backgrounds or those who hold differing religious beliefs. Statistically, crimes against racial and/or religious groups have also been increasing. By way of example, crime statistics of physical assaults on people of the Jewish faith rose by 78% between 2020 and 2021.[4] Here, NDQIS continues its categorisation further, to identify which hate crime category is relevant for each police report, bearing in mind that people can be victimised for multiple reasons, in which case a single report may appear within multiple categories. The following diagram illustrates this flow of data: 

Hate crime classification using NDQIS - National Data Quality Improvement Service

As can be seen above, there are currently five monitored categories of hate crime, four of which I have already mentioned: race, religion, sexual orientation and transgender. The fifth, but certainly no less important category relates to crimes against people with a disability. Despite a 9% reduction in disability hate crimes being reported nationally between 2020 and 2021,[4] there is clearly still work to be done, as some regions observed an increase in such crimes. For example, Cheshire reported a 22% increase over the same period.[5] 

In recent times, there have been discussions concerning the possibility of adding additional categories. Most recently, the UK government rejected a Private Members’ Bill which would have seen misogyny recognised as a motivating factor in the context of hate crime.[6] Following the tragic death of her daughter Sophie in August 2007, the late Sylvia Lancaster OBE – who sadly died in April – campaigned to recognise alternative subcultures within hate crime legislation.[7] Closer to home, here in Northern Ireland, sectarianism is an additional monitored hate crime category,[8] however NDQIS isn’t currently used by the Police Service of Northern Ireland. 

Should data for any of these categories – or indeed any other category – be required in the future, Datactics will be ready to implement changes to the NDQIS system, to support law enforcement and government legislators with their guidance and policy implementation.  

Final word… 

I began this blog by talking about Pride, so I’ll wrap up by expressing my own pride in playing a small but hopefully beneficial part in helping to steer policies in a direction which will help in tackling hate crime and benefit the victims, and prevent such crimes from happening to others. I may be a single cog within a complex machine, but if the machine can lead to positive and meaningful changes within our society, then I’m all for it. As the saying goes: hate can hurt, but never win.  

Have you been the victim of a hate crime or want to report a hate crime? Please speak to the police. You should call 101, or 999 in an emergency. Alternatively, contact True Vision, Stop Hate UK or Crimestoppers

And for more from Datactics, find us on LinkedinTwitter or Facebook.

 

References:

  1. LGBT Tolerance ‘going backwards’ as hate crimes upBBC News, 4th February 2022 
  1. Knife Crime – Using Technology to improve results at ONSRoisin Floyd, Datactics, 25th June 2021 
  1. Semantic Analysis of Free Text and Why It MattersShauna Leonard, Datactics, 8th June 2022 
  1. Antisemitism Worldwide Report 2021Tel Aviv University, 27th January 2022 
  1. Cheshire hate crime rise sees more disabled people targetedBBC News, 26th January 2022 
  1. Ministers to reject making misogyny a hate crime in England and WalesThe Guardian, 21st February, 2022 
  1. SLF TimelineSophie Lancaster Foundation, 2020 
  1. Incidents and Crimes with a Hate Motivation recorded by the Police in Northern Ireland – PSNI, 31st March 2022. 

Photograph credits:  

Clem Onojeghuo 

Fotis Fotopoulos 

James Eades 

Used under license. 

 

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Knife Crime – Using Technology to improve results at ONS https://www.datactics.com/blog/marketing-insights/knife-crime-using-technology-to-improve-results-at-ons/ Fri, 25 Jun 2021 10:14:43 +0000 https://www.datactics.com/?p=15034 On May 18th 2021, the UK Government published its response to the consultation on the National Data Strategy (NDS) and next steps for making the UK a world leading data economy. Outlined are five key priority ‘missions’ that underpin the delivery of the strategy, including a commitment to transforming government use of data, in order […]

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Knife Crime - Using Technology to improve results at ONS

On May 18th 2021, the UK Government published its response to the consultation on the National Data Strategy (NDS) and next steps for making the UK a world leading data economy. Outlined are five key priority ‘missions’ that underpin the delivery of the strategy, including a commitment to transforming government use of data, in order to improve public services.

The NDS makes recommendations for dealing with cultural challenges and technical barriers, often experienced by stakeholders when trying to achieve a standardised, consistent approach to data use. Within policing, issues around data availability and interoperability are not uncommon, as well as access to the right skills to respond to an increasing demand for transparency and accountability. The strategy proposes actions to improve data quality, availability and interoperability for those working in public sector.

The Office for National Statistics plays a key role here, acting as a leading delivery partner on a number of initiatives for the NDS. The DQ Hub, based at the ONS, provides ongoing support and training for stakeholders to ensure their data is fit for purpose, a key challenge identified by respondents to the NDS. Other policies mentioned include the Integrated Data Programme and Reference Data Management Framework, which allow for secure data sharing across government departments and public sector bodies to improve decision-making.

In line with these key policies, last month the ONS announced a new method for counting knife-enabled crimes in England and Wales. To improve data quality the Home Office, together with police forces, has developed the National Data Quality Improvement Service (NDQIS), a computer-assisted classification tool which reviews records involving a knife or sharp instrument.

NDQIS- a new methodology

NDQIS automates the process of classifying crimes through codifying human decision-making into rule sets based on Home Office classifications. As well as reducing their exposure to potentially distressing data, NDQIS offers data stewards quantifiable benefits in time saved reviewing crime records. Whilst human intervention is still required to review certain classifications, the automation means that detecting and fixing data quality checks is a much faster operation.

For respondents who called for more common data standards and governance performed via APIs, NDQIS offers a solution- greater standardisation allows for more consistent categorisation of crimes and improved comparability between forces. Over 90% of surveyed police forces expressed interest in further investment in cloud infrastructure and technology this year, indicating a need for flexible, secure data sharing. The enhanced infrastructure of NDQIS allows for secure cloud implementation for each force submitting data for regulatory reporting, whilst encrypting highly sensitive information from anyone not authorized to view the data.

Tech remedies for data stewards

The NDS comments that ‘data driven technologies are fundamental for improving public services’ and the NDQIS is just one example of how tools can help tackle the complex data challenges existing within public sector. Not only does it improve regulatory reporting, but good quality data also emboldens forces to make informed policy decisions on their deployment of resources; accurate data helps public services reach the communities most in need.

NDQIS is a key enabler for improving data quality related to knife crime, but with ever growing demands on our public services, the opportunities to embrace data-driven technologies are greater than ever.

The following blogs in this series will be looking at some of the typical data issues experienced by those working in the public sector. As an experienced data scientist will spend 80% of their time doing data preparation (cleaning, de-duplicating and matching), future blogs will look at efficient ways to ease the burden of data preparation, from data metrics and self-service data improvement, to data matching and migration. Read more about this in our Policing Data Quality E-Book here.

Roisin researches and writes on data management for Datactics, specialising in Govtech and Fintech. Holding a Master’s from Newcastle in Communication & Media, Roisin also covers PR for the company, and has a passion for the impact of music and arts on society.

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