As scientific research continues to move towards collaborative knowledge production, scientists must become more adept at working in teams. How can teams improve their chances of collaboration success? What is a good way to facilitate dialogue about shared values, norms and processes of collaboration? Are there ways of anticipating, identifying, and addressing obstacles as they arise?
We have designed a collaboration agreement template to assist teams in:
Have you collaborated with people on a complex project and wondered why it is so difficult? Perhaps you’ve asked yourself, “Do my collaborators even conceive of the project and its goals in the way I do?” Projects involving collaborators from different disciplines or professions seem almost ready made to generate this kind of bewilderment. Collaborators on cross-disciplinary projects like these often ask different kinds of questions and pursue different kinds of answers.
This confusion can bedevil cross-disciplinary research. The allure of such research is its promise of solving complex problems by bringing together a variety of perspectives that when combined lead to solutions that any one perspective would fail to find. But combining different disciplinary perspectives also requires undertaking the tasks of translating different technical languages, reconciling different methodological preferences, and coordinating different ways of carving up the world. These tasks are difficult and it’s no wonder that cross-disciplinary research often fails to be truly cross-disciplinary.
What makes interdisciplinary and transdisciplinary research challenging? What can go wrong and lead to failure? What has your experience been?
Modes of research that involve the integration of different perspectives, such as interdisciplinary and transdisciplinary research, are notoriously challenging for a host of reasons. Interdisciplinary research requires the combination of insights from different academic disciplines and it is common that these:
bear the stamp of different epistemologies; and,
involve different types of data collected using different methods in the service of different explanations.
