Theoretical framework for open team science / オープンチームサイエンスという考え方

By Yasuhisa Kondo

A Japanese version of this post is available

author yasuhisa kondo
Yasuhisa Kondo (biography)

What is open team science? What challenges does it deal with and how?

What is open team science?

In our experience, projects are commonly disrupted by socio-psychological boundaries, particularly at the initial phase of team building. Such boundaries are often generated by asymmetric information, knowledge, wisdom (wise use of knowledge; Bellingen et al., 2004), values, socio-economic status, and power among actors.

We have developed a theoretical framework that considers open science as an open scientific knowledge production system, which can be interlinked with transdisciplinarity as a driver of boundary spanning to develop a new research paradigm. We call this open team science. Continue reading

Using a cartoon video to achieve research impact

By Darren Gray, Yuesheng Li and Don McManus

Darren Gray
Darren Gray (biography)

In the right circumstances, a cartoon video can be an effective way to communicate research information. But what’s involved in developing a cartoon video?

This blog post is based on our experience as a Chinese-Australian partnership in developing an educational cartoon video (The Magic Glasses, link at end of post) which aimed to prevent soil-transmitted helminths (parasitic worm) infections in Chinese schoolchildren. We believe that the principles we applied are more broadly applicable and share them here. Continue reading

Conceptual modelling of complex topics: ConML as an example / Modelado conceptual de temas complejos: ConML como ejemplo

By Cesar Gonzalez-Perez

cesar-gonzalez-perez
Cesar Gonzalez-Perez (biography)

A Spanish version of this post is available

What are conceptual models? How can conceptual modelling effectively represent complex topics and assist communication among people from different backgrounds and disciplines?

This blog post describes ConML, which stands for “Conceptual Modelling Language”. ConML is a specific modelling language that was designed to allow researchers who are not expert in information technologies to create and develop their own conceptual models. It is useful for the humanities, social sciences and experimental sciences. Continue reading

Scatterplots as an interdisciplinary communication tool

By Erin Walsh

erin-walsh
Erin Walsh (biography)

Scatterplots are used in many disciplines, which makes them useful for communicating across disciplines. They are also common in newspapers, online media and elsewhere as a tool to communicate research results to stakeholders, ranging from policy makers to the general public. What makes a good scatterplot? Why do scatterplots work? What do you need to watch out for in using scatterplots to communicate across disciplines and to stakeholders?

What makes a good scatterplot? Continue reading

Synthesis of knowledge about participatory modeling: How a group’s perceptions changed over time

By Rebecca Jordan

Rebecca Jordan (biography)

How do a group’s perceptions change over time, when members across a range of institutions are brought together at regular intervals to synthesize ideas? Synthesis centers have been established to catalyze more effective cross-disciplinary research on complex problems, as described in the blog post ‘Synthesis centers as critical research infrastructure‘, by Andrew Campbell.

I co-led a group synthesizing ideas about participatory modeling as one of the activities at the National Socio-Environmental Synthesis Center (SESYNC). We met in Annapolis, Maryland, USA, four times over three years for 3-4 days per meeting. Our task was to synthesize what is known about participatory modeling tools, processes, and outcomes, especially in environmental and natural resources management contexts. Continue reading

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

suzi-spitzer
Suzi Spitzer (biography)

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