|Community member post by Bianca Vienni Baptista, Federico Vasen and Juan Carlos Villa Soto
A Spanish version of this post is available
What lessons and challenges about institutionalising interdisciplinarity can be systematized from experiences in Latin American universities?
We analyzed three organizational structures in three different countries to find common challenges and lessons learned that transcend national contexts and the particularities of individual universities. The three case studies are located in:
All three centers showed an evolutionary path in which they simultaneously tried to adapt to the characteristics of the production of interdisciplinary knowledge and to the culture of the host institutions. Flexibility in this evolution seems to be a necessary condition for survival.
We found the following common lessons:
Community member post by Suzi Spitzer
How can we improve interdisciplinary collaborations? There are many lessons to be learned from the Science of Team Science. The following ten lessons summarize many of the ideas that were shared at the International Science of Team Science Conference in Galveston, Texas, in May 2018.
1. Team up with the right people
On the most basic level, scientists working on teams should be willing to integrate their thoughts with their teammates’ ideas. Participants should also possess a variety of social skills, such as negotiation and social perceptiveness. The most successful teams also encompass a moderate degree of deep-level diversity (values, perspectives, cognitive styles) and include women in leadership roles. Continue reading
Community member post by Peter Deane
Can philosophical insights be useful for interdisciplinary researchers in extending their thinking about the role of values and knowledge in research? More broadly, can a model or heuristic simplify some of the complexity in understanding how research works?
It’s common for interdisciplinary researchers to consider ontology and epistemology, two major arms of philosophical inquiry into human understanding, but axiology – a third major arm – is oft overlooked.
I start by describing axiology, then detail work by Michael Patterson and Daniel Williams (1998) who place axiology alongside ontology and epistemology. The outcome herein is to cautiously eject and then present a part of their work as a heuristic that may help interdisciplinary researchers to extend understanding on philosophical commitments that underlie research. Continue reading
Community member post by Edgar Cardenas
How can undergraduate and graduate students be helped to build their interdisciplinary collaboration capacity? In particular, how do they build capacity between the arts and other disciplines?
In 2018, I co-facilitated the annual, 3-day Emerging Creatives Student Summit, an event for approximately 100 undergraduate and graduate students from 26 universities organized by the Alliance for the Arts in Research Universities. Students’ majors ranged from the sciences, engineering, music, arts, and design.
The aim of the summit is to give students an opportunity to collaborate on projects that incorporate creativity and the arts. Continue reading
Community member post by Lindell Bromham
What can we learn from focussing on examples of interdisciplinary research where ideas or techniques from one field are imported to solve problems in another field? This may be in the context of interdisciplinary teams, or it may simply involve borrowing from one field to another by researchers embedded within a particular field. One of the major benefits of interdisciplinary research is the chance to swap tools between fields, to save having to reinvent the wheel.
The fields of evolutionary biology and language evolution have been swapping ideas and tools for over 150 years, so considering the way that ideas have flowed between these fields might provide an interesting case study. Continue reading
Community member post by Brooke Struck
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