5 research outputs found

    Are We Driving Strategic Results or Metric Mania? Evaluating Performance in the Public Sector

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    A strategy is irrelevant if you cannot implement it. That is the collective realization of public and private leaders after decades of obsession with strategy and strategic thinking. That realization has led to a voracious market for ideas on execution, alignment around strategy and predictable achievement of strategic results. Many performance management systems or tools, all meant to help organizational leaders implement their strategic goals and objectives, fail to provide results. We suggest a framework in which strategic and operational goals can be translated into a handful of meaningful metrics that we define as whole goals. Whole goals can then used to drive decision-making and to hold leadership accountable for achieving measurable results. We believe the ability of a public organization to measure and evaluate its performance is of critical importance if today’s leaders and managers are expected to promote successful execution of organizational strategic goals and objectives

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Are We Driving Strategic Results or Metric Mania?

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    DRMI Working Paper SeriesThe series is intended to convey the preliminary results of [DRMI] ongoing research. The research described in these papers is preliminary and has not completed the usual review process for Institute publications. We welcome feedback from readers and encourage you to convey your comments and criticisms directly to the authors

    Are we driving strategic results or metric mania? Evaluating performance in the public sector

    Get PDF
    A strategy is irrelevant if you cannot implement it. That is the collective realization of public and private leaders after decades of obsession with strategy and strategic thinking. That realization has led to a voracious market for ideas on execution, alignment around strategy and predictable achievement of strategic results. Many performance management systems or tools, all meant to help organizational leaders implement their strategic goals and objectives, fail to provide results. We suggest a framework in which strategic and operational goals can be translated into a handful of meaningful metrics that we define as whole goals. Whole goals can then used to drive decision-making and to hold leadership accountable for achieving measurable results. We believe the ability of a public organization to measure and evaluate its performance is of critical importance if today’s leaders and managers are expected to promote successful execution of organizational strategic goals and objectives

    Strategies and performance of the CMS silicon tracker alignment during LHC Run 2

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    The strategies for and the performance of the CMS silicon tracking system alignment during the 2015–2018 data-taking period of the LHC are described. The alignment procedures during and after data taking are explained. Alignment scenarios are also derived for use in the simulation of the detector response. Systematic effects, related to intrinsic symmetries of the alignment task or to external constraints, are discussed and illustrated for different scenarios
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