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1-10 of 10 results
Deliver high quality services, tackle fraud and maximise value for money for the taxpayer.
Fraud and error is incorrect payment caused by us holding incorrect information about a claimant’s circumstances. To what extent is this caused by non-compliant behaviour on the part of the claimant, whether intentional or not? What drives non-compliant behaviour and what levers might be successful in discouraging and reducing it?
Department for Work and Pensions, 2023
fraud
error
non-compliant behavior
claimant behavior
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer.
How can DWP best manage the fraud threat posed by organised criminal gangs? What can DWP learn from other organisations operationally using big data and risk analysis via Data Science techniques to target fraud?
Department for Work and Pensions, 2023
fraud prevention
organised criminal gangs
big data
risk analysis
data science
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer.
How can DWP improve the effectiveness of claimant access to DWP information in order to prevent fraud and error in the benefit system? How can DWP ensure its communication campaigns enable good claimant understanding of respective roles and responsibilities? How can DWP design its systems and communications to encourage claimants to report their changes of circumstances in a timely and accurate way?
Department for Work and Pensions, 2023
fraud prevention
communication campaigns
systems design
claimant access
benefit system
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Deliver high quality services, tackle fraud and maximise value for money for the taxpayer.
What are the best ways to design systems and policy to minimise fraud and error, while maintaining excellent and accessible services? How can DWP maintain the right level of customer service and support, whilst keeping pace with the propensity to commit fraud and tackling new forms of fraud? What future functionality will DWP need to do this? How can the use of technological solutions including machine learning, network analysis and AI be maximised?
Department for Work and Pensions, 2023
fraud prevention
customer service
technological solutions
machine learning
AI
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Cultural and social value of creative industries activities and effects on wellbeing
What is the prevalence and impact of harm caused by online advertising content and its targeted delivery to internet users (such as fraudulent or misleading adverts, adverts for age restricted products or services, illegal products)?
Department for Digital, Culture, Media & Sport, 2023
advertising
online content
internet users
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Money laundering, alternative currencies and distributed ledger technologies
Capability against money laundering and other illicit transactions, including relating to alternative currencies.
Home Office, 2019
finance
money laundering
illicit transactions
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The changing landscape of crime
The nature and extent of business crime.
Home Office, 2019
business
crime
law
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Assuring food and feed safety and standards
What is the impact of crime, including food fraud, on the UK food supply chain, and how can we reduce it?
Food Standards Agency, 2020
food safety
food fraud
trade
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How can we better assess the benefits of an electoral system that is less vulnerable to fraud e.g. in terms of increased trust in government at all levels?
Department for Levelling Up, Housing and Communities, 2022
electoral systems
government
trust
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How can we ensure an elections and registration system that is accessible for all, and maintains integrity, public confidence and trust through minimal potential for fraud?
Department for Levelling Up, Housing and Communities, 2022
elections
registration
integrity
public confidence
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