DSC project backlog
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ProjectDescription
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Anomaly detection, uncertainty and biasin administrative dataAnomaly detection, and understanding bias and uncertainty in rich administrative datasets, to improve GDP estimates, including regional estimates
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Intentions versus behaviourUnderstanding the difference between what individuals state is important to them for well-being and how they actually behave, to inform the development of effective interventions by Welsh Public Health Boards.
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Housing and gentrificationCan we predict local house and rental prices? Can we add other information, to create an indicator for gentrification? Can we better understand pressure on the housing market?
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Superfast indicators of GDPCan we identify novel early indicators of GDP, for earlier identification of risks to the economy? For example, using early returns of administrative data e.g. payroll data?
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Satellite imagesWhat could we do with satellite data?
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Usingfinancial derivatives tradingdatafor financial statisticsUnderstanding new data sources using big data techniques
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Quarterly profitsCan we use machinelearning/ AI to model quarterly profits, and replace the quarterly operating profits survey?
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Patenttext miningCan we identify emerging technologies from patent text (title, abstract, content)?
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Agritech and supply chainsHow can we supportagritechdevelopment? How can we useblockchainto enrich our understanding of provenance and supply chains? How can we use that in economic stats? How canweunderstand the customer appetite foragritech?
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FSA norovirusEvaluation of an early warning tool fornorovirusoutbreaks
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Field force optimisationOptimisingthe likelihood for fieldworkers of getting someone in when they call for face-to-face and of getting an answer when they telephone.
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Note that this is not exhaustive nor in priority order
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