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The measurement of 'interdisciplinarity' and 'synergy' in scientific and extra-scientific collaborations

机译:科学和科学合作中“跨学科”与“协同作用”的测量

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Problem solving often requires crossing boundaries, such as those between disciplines. When policy-makers call for "interdisciplinarity," however, they often mean "synergy." Synergy is generated when the whole offers more possibilities than the sum of its parts. An increase in the number of options above the sum of the options in subsets can be measured as redundancy; that is, the number of not-yet-realized options. The number of options available to an innovation system for realization can be as decisive for the system's survival as the historically already-realized innovations. Unlike "interdisciplinarity," "synergy" can also be generated in sectorial or geographical collaborations. The measurement of "synergy," however, requires a methodology different from the measurement of "interdisciplinarity." In this study, we discuss recent advances in the operationalization and measurement of "interdisciplinarity," and propose a methodology for measuring "synergy" based on information theory. The sharing of meanings attributed to information from different perspectives can increase redundancy. Increasing redundancy reduces the relative uncertainty, for example, in niches. The operationalization of the two concepts-"interdisciplinarity" and "synergy"-as different and partly overlapping indicators allows for distinguishing between the effects and the effectiveness of science-policy interventions in research priorities.
机译:解决问题通常需要交叉边界,例如学科之间的边界。当政策制定者呼吁“跨学科”时,他们经常意味着“协同作用”。当整个提供比其部件的总和提供更多的可能性时产生了协同作用。上述选项数量的增加可以测量冗余的子集中选项之和;也就是说,尚未实现的选项的数量。创新系统可供实现的选项数量可以与系统生存一样决定性,作为历史上已经实现的创新。与“跨学科,”“协同奖学”不同,也可以在森科尔或地理协作中产生。然而,“协同作用”的测量需要一种与“跨学科性”的测量不同的方法。在这项研究中,我们讨论了“跨学科”的运作和测量的最近进步,并提出了一种基于信息理论测量“协同作用”的方法。归因于不同观点的信息的含义可以增加冗余。增加冗余减少了相对不确定性,例如在利基中。两个概念的运作 - “跨学科”和“协同作用” - 以及不同和部分重叠的指标允许区分科学政策干预在研究优先事项中的效果和有效性。

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