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Predicting likelihood of long-term unemployment: the development of a UK jobseekers’ classification instrument.
Report looking at the scientific capability to predict natural hazards such as earthquakes, volcanoes, tsunamis and landslides.
How well coded data from Disability Living Allowance (DLA) adult claim packs can predict the outcome of these claims.
A model for predicting long term changes in coastal landscapes. This study created a framework to predict how coastal environments will change as a result of natural processes and man-made interventions.…
A European review identified baseline markers as predictive factors for morbidity requiring hospitalisation and mortality in cirrhotic patients.
This project explored the best ways of predicting how cliffs will erode and provided guidance on the best way of managing soft cliffs for conservation.
Paper prepared by Professor Julia Gog, Cambridge University, predicting transmission reduction by non-pharmaceutical interventions.
Research into people's attitudes and behaviour towards retirement planning.
Improving malaria control through the early detection and prediction of epidemics saves lives.
This is the largest survey of incels to-date, taken across the UK and the US. It explores their demographics, beliefs, networks and propensity to violence.
Letter from Stephen Johnson, Deputy Director, Head of Long Term Conditions.
An overview of levee and soil based dam breaches to identify future research needs.
Asset is a structured risk assessment tool for young people, used by all Youth Offending Teams in England and Wales.
This project explored the way in which high water levels are currently forecast in estuaries in the UK. It also reviews other types of forecast being used in the UK and Europe.
This project provided information on all major coastal cells and how they are likely to change to inform the next round of Shoreline Management Plans.
Research investigating how climate change will change the shape of rivers, and what this means for designing and managing flood defences.
This project ran fine grid models to forecast water surges and compared them to surge data from two different sets of gauges to strengthen existing data.
Learn how a research institution used clustering to optimise heating and energy consumption.
Systems for using river invertebrate data to diagnose environmental pressures and model their relationships.
This project identified current knowledge about managing shore platforms that include stable layers, such as mud or clay, as well as further research required.
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