April 2022 – Integration and Implementation Insights

Understanding diversity primer: 2. Mental models

July 22, 2025April 28, 2022

By Gabriele Bammer

primer_diversity_2

What are mental models and why are they important? How do they affect how problems are framed, understood and responded to? How do they affect how well those contributing to the research work together?

Mental models are a person’s understanding of the world and how it works, and are unique to each person. They exist in a person’s mind as a set of small-scale simplified models about different aspects of reality that are functional but necessarily incomplete.

Mental models apply to all aspects of reality ranging from concrete objects such as a ‘chair;’ to abstract concepts such as ‘trust;’ to geographical locations such as ‘Sydney;’ to connections, interconnections and causal relationships; and to simple and complex situations.

Three lessons for policy engagement

April 28, 2022April 26, 2022

By Emily Hayter

How can researchers be supported in communicating their research and in supporting policymakers to use research and evidence? Are there particular issues for researchers in the global south?

The three lessons presented here are based on the experience of INASP (International Network for Advancing Science and Policy), an international development organisation which has been working with a global network of partners in Africa, Latin America and Asia for nearly 30 years.

1. Policy engagement needs to build mutual understanding between researchers and policymakers as actors in a system (the ‘how’)

The research/policy space is not quite the chasm it is often presented as, needing a ‘bridge’ to cross between two distinct groups.

Understanding diversity primer: 1. Why diversity?

August 21, 2025April 21, 2022

By Gabriele Bammer

primer_diversity_1_updated_220412

Why do researchers who tackle complex societal and environmental problems need to understand diversity? What kinds of diversity are relevant? What are some good starting points?

Diversity is critical for:

developing a more comprehensive understanding of any complex problem, both what is known and what is not known
providing a greater range of ideas about addressing the problem, including what may and may not work
providing deeper and more effective insights into how the research can support policy and/or practice action to address the problem by government, business and civil society.

Intentional ecology: Building values, advocacy and action into transdisciplinary environmental research

April 19, 2022

By Alexandra Knight and Catherine Allan

authors_alexandra-knight_catherine-allan — 1. Alexandra Knight (biography)
2. Catherine Allan (biography)

As a society, how do we encourage early and ethical action when building our knowledge and confronting serious challenges?

In this blog post we explore the conceptual framework of intentional ecology and apply it to a case study to illustrate how it deals with the question raised above.

Intentional ecology – foundations and actions

Intentional ecology, illustrated in the figure below, is a new conceptual framework that enables early, applied and relevant integrated action, as well as reflexive and dynamic approaches to implementation of conservation and sustainability measures. It’s a better way of doing science.

Four building blocks of systems thinking

February 20, 2023April 12, 2022

By Derek Cabrera and Laura Cabrera

authors_derek-cabrera_laura-cabrera — 1. Derek Cabrera (biography)
2. Laura Cabrera (biography)

Systems thinking itself is a complex adaptive system. Supported by empirical evidence, DSRP theory describes 4 simple rules that dynamically combine to explain the complexity of physical, natural, and social systems. Awareness of these patterns can help us to solve many societal and environmental problems.

We briefly present DSRP theory which describes four universal patterns and their underlying elements—identity (i) and other (o) for Distinctions (D), part (p) and whole (w) for Systems (S), action (a) and reaction (r) for Relationships (R), and point (p) and view (v) for Perspectives (P).

We describe these four building blocks and show how they can be mixed and matched. We conclude with some additional key aspects of the theory.

The MATRICx: Measuring motivation in science teams

April 19, 2022April 5, 2022

By Gaetano R. Lotrecchiano

gaetano-lotrecchiano — Gaetano R. Lotrecchiano (biography)

What motivates scientists to work in teams? How can we measure motivation? Why should we be concerned about motivation in science teams?

Six domains of motivation for collaboration

Scientists and science stakeholders draw on different motivations to collaborate. The literature has discussed these motivations in different ways:

1. Advancing Science: Motivations to contribute to an agenda or the progression of research and science.

2. Building Relationships: Motivations to utilize resources and/or knowledge to establish or expand connections and one’s network of collaborators.