I feel that I was put into my research family to challenge us. The rest of the team is in library science and education, disciplines that appear to have similar values, at least from my outside perspective. Physics is different. Much of my SPI experience has revolved around discovering and articulating the ways in which physics is different.
First, physics is a relatively pure science - a large portion of the field is geared towards extending our knowledge of fundamental laws of nature. Physics has proven its applicability as a primary driver of technology over centuries, but that's not the always the primary reason why we study it. Physicists often base our value judgements on the generalizability, clarity and even surprise of what's being tested. A good example of a highly regarded physics experiment is known as the
double-slit experiment. The basic idea of an experiment like this is that even though we know that light can be broken down into single particles, when we send a single particle of light through a pair of slits in some wall, the photon's location on the other side still behaves as if we had a wave of many particles passing through all the slits at once. This experiment showed us something that is true of all light and matter, clear in its implications and surprising enough to challenge a fair number of assumptions about the nature of light. It's also simple to repeat, which is essential to ensuring that we can distinguish between a new physical phenomenon and a mistake the experimenters made.
What are the applications of the double-slit experiment? Clearly we are not putting a double-slit in every home and factory. There are some scientific and technical applications of this, but for the most part, we use the results of this results of this sort of research second-hand. Experiments like the double-slit helped scientists understand quantum mechanics, the branch of physics that would lead to the invention of the transistor, which would in turn lead to the miniaturization of computers, leading to the invention of the PC, the Internet, the mobile phone, etc.
The double-slit is also one of the old predecessors to my own independent study in quantum optics, despite being roughly 200 years old.
So when it came time for me to explain my work to my own R&W "family," I think I started in the wrong place. I outlined information theory and then attempted to show its generality - it might be used as a quantitative measure of how many different explanations we might expect to need for urban poverty, or as a way of marking the point at which a piece of metal becomes magnetized. I then described the power of quantum mechanics in terms of its surprising qualities - objects can act as if they are simultaneously in many places at once. Only afterwards did it dawn on me that social sciences do not think in these terms.
The readings painted a few examples of why interdisciplinary research involving natural sciences often goes wrong. I don't think these papers produced particularly general results, focusing on a single group of sociologists/modellors (Jeffrey) and a small sample of environmental scientists to represent a large collection of fields (Lele and Noorgard). Still, I did notice some patterns.
One common technique in interdisciplinary research seems to be what I would call a client-consultant model - one side sets the purpose of the research, and the other is brought in to provide expertise. Projects in the Lele and Noorgard paper implicitly adopted the value systems and dissemination forms of the social sciences, requesting natural scientists to participate but eliminating any innate incentive to do so. It was not surprising to me, for instance, that the hydrologist mentioned in Lele and Noorgard's paper did not want to change his terminology to suit the needs of economists. He probably had not realized that hydrology was being brought in to serve the needs of economics, not the other way around. A more balanced example existed in Jeffrey's paper, where the modellers and sociologists fought over the project's direction based on what was probably subconscious self-interest. The modellers would be evaluated on the model's technical merits regardless of the data being analyzed, and the sociologists on the human implications of their result regardless of how it was processed. Each side wanted to become the main purpose of the project, using the other to provide backend resources.
Client-consultant models of research can easily construct their own prestige hierarchy. When it is expected that mathematicians will contribute to nearly every field, but that few can contribute to mathematics, a value judgement is already in play. Ironically, the overall field hierarchy tends to favor the side that is less likely to receive benefits from collaboration.
I digress. This is just one of what I would consider the long, sad history of cop-out answers to the challenges of truly interdisciplinary research.
Group 8 initially struggled to cohere around a topic. We were very much leaning towards special education in the beginning, but it soon became clear that several of us were leaning too far out of our own fields and would be compromised in our ability to contribute as masters of our fields. We went back to the drawing board and realized that we were all based around the topic of information. It was a good starting point but very broad.
We came together when we split off to each write our own version of the abstract. Taking a break seemed to help us converge. We sort of found a structure to how our specific topics each handled information, starting with the practical right-now challenges of information in our education system and progressing to the more futuristic and theoretical ideas.
This process has been challenging, and it has been at times difficult for me to balance against the already substantial demands of a physics PhD. I am on some level glad that we did not back down from the hardest issue - how do we create a piece of research that is a true combination of natural and social sciences, rather than a study in one that just happens to reference the other?
I personally have a fair amount of faith that the concept of information theory is broadly applicable - it is one of the few places where I suspect that a fully interdisciplinary path (one in all 3 of the sciences, social sciences and humanities) is already laid out. I have to do a better job of making that case.
Art. Science. Humanity. Society. The chasms between fields are deep. How far can we cross?