Trust – Page 2 – Integration and Implementation Insights

Advocate or Honest Broker?

April 8, 2020November 22, 2016

By Gabriele Bammer

To mark the first anniversary of the Integration and Implementation Insights blog, we launch an occasional series of “synthesis blog posts” drawing insights across blog posts on related topics.

What is our social obligation as researchers to see our findings implemented? And how should we do it? When is it appropriate to advocate loudly to drive change? When should we focus on informing decision makers, stepping back ourselves from direct action? How can we know that our research is ‘good enough’ to act on and not compromised by our own values, interests, cognitive biases and blind spots?

Collaboration, difference and busyness

April 15, 2020November 8, 2016

By Gabriele Bammer

What are the ingredients of successful research collaboration? How can we make collaboration work when we are all getting busier?

One of the best guides to success in collaborative team work was produced by Michelle Bennett, Howard Gadlin and Samantha Levine-Findlay in 2010. Built on the experience of researchers at the US National Institutes of Health, they explored: preparing for collaboration, selecting team members, fostering trust, sharing credit, handling conflict and more.

An additional way of thinking about collaboration that I have found useful (Bammer 2008) is to consider it as a process of harnessing and managing differences.

Model complexity – What is the right amount?

March 17, 2020November 3, 2016

By Pete Loucks

How does a modeler know the ’optimal’ level of complexity needed in a model when those desiring to gain insights from the use of such a model aren’t sure what information they will eventually need? In other words, what level of model complexity is needed to do a job when the information needs of that job are uncertain and changing?

Four things everyone should know about ignorance

May 14, 2020November 1, 2016

By Michael Smithson

“Ignorance” is a topic that sprawls across a grand variety of disciplines, professions and problem domains. Many of these domains have their own perspective on the unknown, but these are generally fragmentary and often unconnected from one another. The topic lacks a home. Until fairly recently, it was a neglected topic in the humanities and human sciences.

I first started writing about it in the 1980’s (e.g., my book-length treatment, Ignorance and Uncertainty: Emerging Paradigms), but it wasn’t until 2015 that the properly compiled interdisciplinary Routledge International Handbook on Ignorance Studies (Gross and McGoey 2015) finally appeared.

Given the wide-ranging nature of this topic, here are four things everyone should know about ignorance.

Should I trust that model?

April 17, 2020October 6, 2016

By Val Snow

How do those building and using models decide whether a model should be trusted? While my thinking has evolved through modelling to predict the impacts of land use on losses of nutrients to the environment – such models are central to land use policy development – this under-discussed question applies to any model.

In principle, model development is a straightforward series of steps:

Ten communication tips for translational scientists

July 22, 2020July 19, 2016

By Sunshine Menezes

As someone who works with scientists, journalists, advocates, regulators, and other types of communication practitioners, I see the need for translational scientists who can navigate productive, start-to-finish collaborations between such groups on a daily basis.

This translation involves the use of new, more integrated approaches toward scientific work to confront wicked environmental problems society faces.

In spite of this need, cross-boundary communication poses a major stumbling block for many researchers. Science communication requires engagement with potential beneficiaries, not just a one-way transfer of information.

Designing applied research for impact

August 25, 2020April 26, 2016

By Andrew Campbell

How can we get the three critical groups in transdisciplinary research—researchers, end users of research, and funders of research—to work together in designing applied research for impact? As Roux and colleagues (2010) pointed out:

“A key characteristic of transdisciplinary research is that the domains of science, management, planning, policy and practice are interactively involved in issue framing, knowledge production and knowledge application.”

A critical challenge is that each of the three groups is likely to have different perspectives on the goals of a given research project or program and how to achieve them, and therefore likely to define success differently.

Should water scientists be advocates?

April 8, 2020April 14, 2016

By Patricia Gober

Efforts to improve the use of models to support policy and practice on water resources issues have increased awareness of the role of advocacy and public engagement in the modeling process. Hydrologists have much to learn from the recent experience of climate scientists who have discovered that scientific knowledge is not independent of the political context in which it is used but rather is co-produced by scientists and society.

Despite a strong consensus among climate scientists in the Intergovernmental Panel on Climate Change’s (IPCC) 2013 report that “warming of the climate system is unequivocal,” approximately one-third of the USA’s population still does not believe that global temperatures have risen over the past 100 years and does not trust the things that scientists say about the environment.