What are the range of modelling approaches and tools for forecasting resource requirements? What are the strengths and limitations of these?


This encompasses priorities around:
- continuing to reduce and prevent fraud and error in benefit expenditure
to deliver value for money for the taxpayer and an appropriate balance between effective fraud prevention and good customer experience
- becoming an increasingly data driven organisation with modern, secure, sustainable, and automated systems to drive better experiences for DWP customers, staff and taxpayers
- understanding customers’ experience so DWP can target interventions when and where they have the most impact
- working smartly and flexibly to deliver services when, where and how DWP customers need them, increasing analytical capability to tailor services to customers’ individual needs and circumstances

Next steps

Send correspondence and further questions to evidence.strategyteam@dwp.gov.uk.


This question was published as part of the set of ARIs in this document:

DWP Areas of Research Interest 2023 GOV UK

Related UKRI funded projects

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    Software to support ‘Back-office Workforce Optimisation’ is a new market. Current solutions provide very limited forecasting, planning and scheduling capabilities. Furthermore, they do not enable an organisation to antic...

    Funded by: Innovate UK

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    Why might this be relevant?

    The project focuses on developing forecasting, planning, and scheduling analysis tools to predict SLA performance for complex back-office processes, which is directly relevant to the question.

  • IMA International Conference on Quantitative Modelling in the Management of Health Care

    Aim and ScopeHealth and Social Care systems are undergoing major changes worldwide, due in part to changes in demography and in part to increased competition between parts of the system whether they are hospitals, primar...

    Funded by: EPSRC

    Lead research organisation: University of Westminster

    Why might this be relevant?

    The project discusses modelling approaches and tools for forecasting resource requirements in health and social care systems, aligning with the question's focus.