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Metrication would not be necessary as a component of interdisciplinary <strong>innovation</strong>, if<br />

it were not for the need for sponsors to carry out formative evaluation to prioritise<br />

funding investments and identify the value of likely outcomes. Once a funding<br />

decision has been made, there is no further value from metrication, unless it is to<br />

provide ways of characterising unanticipated outcomes as they arise.<br />

There have been some attempts to assess the potential impact of increased research<br />

metrication on interdisciplinary research, where the assessment evaluates metrics<br />

themselves for consistency across disciplines and into interdisciplinary work (Levitt<br />

& Thelwall 2008, Adams, Jackson & Marshall 2007). However, we believe that the<br />

terms of reference for such studies have been too narrow to date, and do not take into<br />

account most of the dynamics that appear to be important in our own findings. For<br />

example, although Levitt and Thelwall found that multidisciplinary publications in<br />

science and technology were only half as likely to be cited as monodisciplinary<br />

publications, Adams et.al. defined interdisciplinarity so narrowly that major<br />

challenges to organizational and <strong>knowledge</strong> <strong>boundaries</strong> do not arise (for example, by<br />

only considering science and technology disciplines, or by treating statistics and<br />

applied statistics as different disciplines across which citations would be regarded as<br />

evidence of interdisciplinarity).<br />

Nevertheless there is a clear connection between these public value measures, and<br />

evaluation of new recruits to a discipline, via school and degree examinations. Almost<br />

all researchers are selected for professional research careers because they have been<br />

‘metricated’ via earlier examinations, and these have been constructed in accordance<br />

<strong>with</strong> the <strong>knowledge</strong> of particular disciplines.<br />

It is interesting to speculate whether quantitative social network analysis of the kind<br />

developed by Burt could be used as a valuable form of metrication for the evaluation<br />

of capacity building. However Marilyn Strathern warns against this confusion of<br />

means and end. Metrication is an essential component of the construction of<br />

disciplinary elites. As inter-disciplines become disciplines, suitable metrics for that<br />

discipline are likely to evolve.<br />

Tom Inns recommends developing a portfolio of metrics, to account for the necessary<br />

combination of short-term and long-term outcomes. The elements of this portfolio<br />

might reasonably take into account all of the dynamics described in section 5 on<br />

managing interdisciplinary teams, and in particular section 5.8 on evaluation.<br />

However, such ‘metrics’ would be very unlike those we work <strong>with</strong> at present. It is<br />

important to recognize how many participants in this research felt that current policy<br />

regarding metrication of research was fundamentally anti-innovative.<br />

Case study: Interdisciplinarity in Medicine<br />

There are some situations in which a characteristic set of obstacles appear - we<br />

illustrate this using specific examples from medical practice. There are are, of course,<br />

other fields <strong>with</strong>in medicine that do exhibit the kinds of <strong>innovation</strong> that we have<br />

described elsewhere in this report.<br />

Innovation and Interdisciplinarity 77

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