At various times I have been classified as a scientist, engineer or technologist. Whatever the reason for this, it means that I am exposed to rather a broad range of what is considered to be research in UK university departments. In the past I have been an external examiner for the Materials (Science and Engineering) course at Oxford University and also for the M.Sc. course in Rapid Product development at de Montfort University. Two courses and locations that are very different indeed, but are designed to produce differently trained individuals, one course produces students who mostly go and work in the industrial design and manufacturing industries, the other students who split roughly 1/3 for higher reseqrc degrees and 2/3 highly paid jobs in the financial industry. It is left as an exercise for the reader to match the output to the course!
However, my current musings on culture in science, or possibly scientific (in a broad sense) research, have their roots in a Ph.D. I was external examiner for in the recent past. This was from a highly respected group (in their field) in a 5* (UK RAE rankings) department. The student duly passed, subject to inevitable corrections but if the research had been presented to a different field, it would have been dismissed as trivial or possibly oversimplified to a ludicrous extent. This is very difficult to explain and to preserve the anonymity of the players. The project was part of a research programme that could be classed as “getting something to work”, where that something was a machine or a procedure. This means that results were to be used to produce interpolations for practical applications, and it did not really matter what the theory was that uderlay the results. Is this science? is this engineering? The exercise is certainly research (Research: A search or investigation directed to the discovery of some fact by careful consideration or study of a subject; a course of critical or scientific inquiry: Online Oxford English Dictionary).
The approach to research I was examining is very close to the practice I have observed in industrial research in mechanical engineering. Here, the result is judged by how it affects the bottom line and not by any philosophical interpretation of whether a hypothesis is to be set up for testing. Some “scientists” may sneer at this approach but, ultimately, it is these results that generate the income whose taxation funds the rest of us in our ivory towers up in the blue skies.
This brings me back to favourite discussion – what are the appropriate research output metrics to apply? And do these metrics have any universal applicability. It is obvious that the metric used to judge academic historians would be different from that used to judge a physicist. However, it is also clear that within the broad spectrum that is the physical sciences and engineering, the culture of research is also widely different and the interpretation of what is good, bad and indifferent is highly sensitive to culture. Unfortunately, with the introduction of metrics as a method of allocating funding between and within institutions and disciplines, I can see a future loaded with bitter arguments in the UK academuc scientific coomunity that will be highly colored by value judgements of one sub-discipline upon another.


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