One of my favourite authors on the topic of science is the late John Ziman. Ziman played an important role in popularising science and its role in the technological evolution of societies. We have some of his books on our Mesopartner bookstore (You can also click on the images on the right of the screen) .
In his last book, Real Science, he made an important distinction between science in academia, and science in industry. This is relevant to me because I am assisting universities to conduct more relevant scientific research that will benefit industry. At the same time I am assisting industries to intensify their scientific research.
According to Ziman, academic science works towards the Mertonian norms introduced by Robert K Merton in 1942, also known as CUDOS. Merton advanced our understanding of the ethos of the scientific process. I like Ziman’s (2000) discussion of the Mertonian principles. CUDOS is as an acronym that denotes good academic research and stands for:
- Communalism – fruits of academic science should be public knowledge (belongs to the whole scientific community), and the communication and dissemination of results are as almost as important as the research itself,
- Universalism – researchers and scientists relate to each other regardless of the rank and experience of the researcher. The norm of universalism requires that scientific findings are evaluated objectively regardless of the status, race, gender, nationalism or any other irrelevant criteria,
- Disinterestedness – academic scientists have to be humble and disinterested. Work is done in a neutral, impersonal and is often recorded in the passive voice. It disassociates with the personal or social problems, and focus on advancing knowledge or solving a very specific problem in an almost clinical way.
- Originality – every scientist is expected to contribute something new to the archive, while building on the knowledge of predecessors. Unfortunately this also sometimes constrains how creative academic research can become. “new” could mean new data, questions, methods and insights.
- Scepticism – This norm triggers important brakes on scientists, as it involves critical scrutiny, debate, peer review and contradiction before being accepted. It is important as it deepens understanding and knowledge from different research perspectives, and should not seen as being completely negative, rather it should be seen as being necessary.
Industrial science works towards what Ziman (2000:78-79) calls PLACE:
- Proprietary – the knowledge is not made public (or at least as little as necessary is made public),
- Local – it is focused on local technical problems rather than on increasing general understanding,
- Authoritarian – Industrial researchers act within a hierarchy and must work to please senior management, in other words, it is not serendipitous,
- Commissioned – it is undertaken to achieve practical goals rather than to just improve knowledge, and
- Expert – industrial researchers are employed as expert problem solvers, rather than for their personal creativity and writing or teaching skills.
Ziman argues that when universities undertake contract research for industry, they somehow cross the boundaries between these two approaches to research. For instance, industry is more interested in solving a specific technological challenge and would prefer that senior researchers work on a problem. In the last 50 years it has increasingly become necessary for universities to raise 3rd stream income, so it a universally accepted practice that universities undertake research for and in cooperation with industry. However, a university must prioritise the development of interns and junior researchers (and achieve other social goals). Furthermore, industry may not be interested in registering a patent (immediately), otherwise their secrets gets shared with the whole world. Academic researchers on the other hand, are expected to deliver publications when they cannot deliver patents or licenses, thus there is another conflict of their objectives. Perhaps a last comment is that universities are under pressure to solve social problems that are deemed “relevant” by prevailing political pressures, while industry prefer to solve problems that are immediate, relevant and that may even be in contrast with the desires of the prevailing political and social debates. Practically this means that at the moment industry may need to automate to remain competitive, thus incurring job losses, while government and the society may be demanding job creation for people with little or no technical education.
Universities must understand this tension, and must operate within and between different modes of conducting research. Current legislation perhaps assumes one standard approach to university research, that always results in something that can be published and or patented (licensed), and it further assumes that the value (and cost) or research is known at the time of start of the research or after completion. Practical experience indicates that this is not always the case. Sometimes the value of research only becomes apparent when it faces market forces.