Collaboration and team science: Top ten take aways

Community member post by L. Michelle Bennett and Christophe Marchand

L. Michelle Bennett (biography)

What are the key lessons for building a successful collaborative team? A new version of the Collaboration and Team Science Field Guide (Bennett et al., 2018) provides ten top take aways:

It is almost impossible to imagine a successful collaboration without trust. Trust provides the foundation for a team. Trust is necessary for establishing other aspects of a successful collaboration such as psychological safety, candid conversation, a positive team dynamic, and successful conflict management.

Christophe Marchand (biography)

A strong vision attracts people to the team and provides a foundation for achieving team goals. A captivating vision provides a focal point for interesting individuals to join the team and compels them to contribute to the work. It serves as an anchor for the team and over time, the vision needs to be brought back to the team, reviewed, discussed, and, as needed, revised.

Emotional Intelligence among team members contributes to the effective functioning of research teams. Self-awareness gained through much self-reflection, -learning, and -inquiry benefits the leader(s) and participants by enhancing their ability to build relationships. Vision alone is not enough to sustain the team. Vision must be accompanied by the ability to build and nurture strong relationships. This provides people with greater control over their own emotional reactions, improves the quality of their interactions, and perhaps most importantly helps build other-awareness. The better someone gets to know and understand themself, the better they will appreciate those who surround them. Continue reading

What can interdisciplinary collaborations learn from the science of team science?

Suzi Spitzer (biography)

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

Interdisciplinarity and evil – Understanding incommensurability

Community member post by J. Britt Holbrook

J. Britt Holbrook (biography)

Incommensurability is a recognized problem in interdisciplinary research. What is it? How can we understand it? And what can we do about it?

What is it?

Incommensurability is best illustrated by a real example. I once co-taught a class with a colleague from another discipline. Her discipline depends on empirical analysis of data sets, literally on counting things. I, on the other hand, am a philosopher. We don’t count. One day she said to our students, “If you don’t have an empirical element in what you’re doing, it’s not research.” I watched the students start nodding, paused for half a beat, and volunteered, “So, I’ve never done any research in my entire career.” “That’s right!” she replied, immediately, yet hesitating somewhere between a discovery and a joke. Continue reading

Epistemological obstacles to interdisciplinary research

Community member post by Evelyn Brister

Evelyn Brister (biography)

What causes interdisciplinary collaborations to default to the standard frameworks and methods of a single discipline, leaving collaborators feeling like they aren’t being taken seriously, or that what they’ve brought to the project has been left on the table, ignored and underappreciated?

Sometimes it is miscommunication, but sometimes it is that collaborators disagree. And sometimes disagreements are both fundamental and intractable.

Often, these disagreements can be traced back to different epistemological frameworks. Epistemological frameworks are beliefs about how particular disciplines conceive of what it is they investigate, how to investigate it, what counts as sufficient evidence, and why the knowledge they produce matters. Continue reading

Three tasks for transdisciplinary bridge builders

Community member post by Roderick J. Lawrence

Roderick J. Lawrence (biography)

Human groups and societies have built many kinds of bridges for centuries. Since the 19th century, engineers have designed complex physical structures that were intended to serve one or more purposes in precise situations. In essence, the construction of a bridge is meant to join two places together. What may appear as a mundane functional structure is built only after numerous decisions have been made about its appearance, cost, functions, location and structure. Will a bridge serve only as a link and passage, or will it serve other functions?

In discussing three things the transdisciplinary research community can do to build bridges, I use “building bridges” as a metaphor. I discuss a bridge as a human-made artefact that is attributed meaningful form. It is created intentionally for one or more purposes. Continue reading

Sharing mental models is critical for interdisciplinary collaboration

Community member post by Jen Badham and Gabriele Bammer

Jen Badham (biography)

What is a mental model? How do mental models influence interdisciplinary collaboration? What processes can help tease out differences in mental models?

Mental models

Let’s start with mental models. What does the word ‘chair’ mean to you? Do you have an image of a chair, perhaps a wooden chair with four legs and a back, an office chair with wheels, or possibly a comfortable lounge chair from which you watch television? Continue reading