Community member post by Dan Stokols, Judith S. Olson, Maritza Salazar and Gary M. Olson
How can an ecosystem approach help in understanding and improving team science? How can this work in practice?
An Ecosystem Approach
Collaborations among scholars from different fields and their community partners are embedded in a multi-layered ecosystem ranging from micro to macro scales, and from local to more remote regions. Ecosystem levels include: Continue reading →
Would it be useful to have a tool to quickly measure the disciplinary diversity of your team? At Science-Metrix we’ve created a widget for just such a purpose. In this post, I’ll explain what the disciplinarity widget does, how to use it, how to interpret the measurements and how we are refining the tool.
How is disciplinary diversity measured?
For several years, Science-Metrix has maintained a classification of research into a three-level taxonomy, arranging research into domains, fields and subfields. We have also developed several approaches to assess the conceptual proximity of these subfields to each other, based on how often material from these subfields is used in combination.
With the taxonomy in hand, and a proximity matrix relating the subfields to each other, we can calculate disciplinary mix using a three-dimensional approach. Continue reading →
When we think of research infrastructure, it is easy to associate astronomers with telescopes, oceanographers with research vessels and physicists with particle accelerators.
But what sort of research infrastructure (if any) do we need in order to do more effective multidisciplinary, interdisciplinary and transdisciplinary research on big, complex, ‘wicked’ challenges like climate change or food security?
Some eminent colleagues and I argue in a new paper (Baron et al., 2017) that the answers include: Continue reading →
Community member post by Sawsan Khuri and Stefan Wuchty
As team science gains momentum, we present this glossary to standardize definitions for the most frequently used terms and phrases in the science of team science literature, and to serve as a reference point for newcomers to the field. Source material is provided where possible. Continue reading →
What characterizes multidisciplinary research? When is it most appropriate? What does it take to do it well? Multidisciplinarity often gets a bad rap, being seen as less sophisticated than interdisciplinarity and transdisciplinarity. But does it have its own important role in dealing with complex social and environmental problems?
Multidisciplinary research has two primary characteristics:
different disciplines independently shine their light on a particular problem, and
synthesis happens at the end and can be undertaken by anyone.
Unlike interdisciplinary and transdisciplinary research, there is no attempt to agree upfront on either a problem definition or on how the different perspectives will be brought together. Continue reading →