Conventional research almost always involves the research of only one aspect, problem. But sometimes, I feel, there is need for integrative, holistic, synergistic research projects. Let's consider artificial intelligence and neural networks. Almost always the individual research is around the specific problems - e.g. about implementation of one specific logic in neural networks, implementation of specific language model in neural networks, implementation of visual recognition in neural networks and so on. But the practice invites use to consider the whole system, cognitive architecture, e.g. that can use the synergy of common language/visual/auditory/tactile semantics to complete multiple tasks. Such synergy can lead to improved results and hence - it is welcome from the Science as well. There is indeed the research about cognitive architectures but it is far, far less in amount and gaining far less support than the research of specific themes.
My question is - what considerations should be taken into account when one chooses the integrative projects as the theme for his/her master or PhD thesis. What can go bad? I have heard about specific requirements, advice for the doing the systems research, maybe more warning and more suggestions can be made about the acceptable and good integrative research.
I guess, such integrative research of end-to-end systems is actual not only in the cognitive architectures, but also in systems biology where one is eager to consider multi-scale models of full organisms of even full ecosystems. Maybe such research should be done in late career only? But what about the cases when internal drive, interests and perception of topicality make one to choose such theme for master of PhD thesis and nothing less is enough for keeping the momentum of drive and flow.
p.s. with the advent of the category theory there seems to be the right toolbox for such integrative research and so, maybe today, where so much facts and ideas are gathered, maybe today is the right time for doing good integrative research.