478 research outputs found

    Workload: Measurement and Management

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    Poster: The workload research project has as its task to survey the available literature on: (1) workload measurement techniques; and (2) the effects of workload on operator performance. The first set of findings provides practitioners with a collection of simple-to-use workload measurement techniques along with characterizations of the kinds of tasks each technique has been shown reliably address. This allows design practitioners to select and use the most appropriate techniques for the task(s) at hand. The second set of findings provides practitioners with the guidance they need to design for appropriate kinds and amounts of workload across all tasks for which the operator is responsible. This guidance helps practitioners design systems and procedures that ensure appropriate levels of engagement across all tasks, and avoid designs and procedures that result in operator boredom, complacency, loss of awareness, undue levels of stress, or skill atrophy that can result from workload that distracts operators from the tasks they perform and monitor, workload levels that are too low, too high, or too consistent or predictable. Only those articles that were peer reviewed, long standing and generally accepted in the field, and applicable to a relevant range of conditions in a select domain of interest, in analogous "extreme" environments to those in space were included. In addition, all articles were reviewed and evaluated on uni-dimensional and multi-dimensional considerations. Casner & Gore also examined the notion of thresholds and the conditions that may benefit mostly from the various methodological approaches. Other considerations included whether the tools would be suitable for guiding a requirement-related and design-related question. An initial review of over 225 articles was conducted and entered into an EndNote database. The reference list included a range of conditions in the domain of interest (subjective/objective measures), the seminal works in workload, as well as summary work

    Industrial Strategy and the Regions : the shortcomings of a narrow sectoral focus

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    Key points - The new money that the UK government has allocated to support its industrial strategy is targeted at R&D in an exceptionally narrow range of sectors – healthcare & medicine, robotics & artificial intelligence, batteries, self-driving vehicles, materials for the future and satellites & space technology. - Even on a generous definition of the industries that might benefit from the new Industrial Strategy Challenge Fund, these sectors account for little more than 1 per cent of the whole economy (by employment) and 10 per cent of UK manufacturing. - The jobs in the sectors targeted by the Fund are highly unevenly spread across the country. The pattern is more complex than a simple North-South divide but a number of places in southern England have substantially more jobs in these sectors than industrial cities such as Bradford, Leicester, Manchester, Middlesbrough, Nottingham, Stoke and Swansea. - The distribution across the country of research and development establishments – along with universities and R&D labs in large companies likely to be first in line for the new R&D funding – is particularly skewed in favour of an arc to the immediate north, west and south of London. - Even excluding its famous university, the Cambridge area (population just 285,000) has twice as many jobs in scientific research and development establishments as the whole of the Midlands, more than Scotland and Wales combined, and only 2,000 fewer than the whole of the North of England (population 15.2 million). - The report concludes that the government’s sectoral focus is exceptionally narrow – too narrow alone to provide a base on which to build a revival of British industry. - The report also concludes that the government’s narrow sectoral focus threatens to widen regional divides. It is Cambridge, Oxfordshire, the Thames Valley, Hertfordshire and London itself that may gain most in the first instance

    The real level of unemployment 2017

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    Key Points - This report challenges the view that the UK economy is operating at or close to full employment. It presents alternative estimates of the level of unemployment, based on a re-working of official statistics, for every local authority district in England, Scotland and Wales. - The report estimates that in 2017 the ‘real level of unemployment’ across Britain as a whole is nearly 2.3 million. This compares with just under 800,000 on the claimant count and 1.5 million on the wider ILO measure of unemployment preferred by the government. - The report estimates that there are some 760,000 ‘hidden unemployed’ on incapacity-related benefits (these days primarily Employment and Support Allowance). These are men and women who might have been expected to be in work in a genuinely fully employed economy. They do not represent fraudulent claims. - The real level of unemployment and the scale of hidden unemployment have both fallen since 2012. However, there remain almost as many unemployed ‘hidden’ on incapacity benefits as ‘visible’ on the unemployment claimant count. - Hidden unemployment is disproportionately concentrated in the weakest local economies, particularly Britain’s older industrial areas and a number of seaside towns. The effect is to mask the true scale of labour market disparities between the best and worst parts of the country. - In a number of local economies, including much of North East England, East Lancashire, Merseyside, the Welsh Valleys and the Birmingham and Glasgow areas, the real level of unemployment remains at or just below 10 per cent of the working age population. Much of southern and eastern England outside London, with real unemployment in the 2-3 per cent range, could however lay claim to operating near full employment

    The real level of unemployment 2012

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    Tackling worklessness in Britain’s weaker local economies

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    Hidden Unemployment in the East Midlands

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    The Real Level of Unemployment

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    The Real Level of Unemployment 2007

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