Going beyond ‘context matters’: A lens to bridge knowledge and policy

By Leandro Echt and Vanesa Weyrauch

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1. Leandro Echt (biography)
2. Vanesa Weyrauch (biography)

The role and importance of context in the interaction between research and policy is widely recognized. It features in general literature on the subject, in case studies on how research has successfully influenced policy (or not), and in practitioners´ reflections on the results of their work. But how does context specifically matter? Can we move beyond generic statements?

To find some answers to these complex questions, Purpose & Ideas and the International Network for the Availability of Scientific Publications (INASP) embarked on a joint knowledge systematization effort, combining a literature review with in-depth interviews with 48 experts and policymakers, mostly in developing countries.

What do we mean by context?

Our first challenge was to define what we concretely mean by context.

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The integrative role of landscape

By David Brunckhorst, Jamie Trammell and Ian Reeve

authors_mosaic_david-brunckhorst_jamie-trammell_ian-reeve
1. David Brunckhorst (biography)
2. Jamie Trammell (biography)
3. Ian Reeve (biography)

Landscapes are the stage for the theatre of human-nature interactions. What does ‘landscape’ mean and what integrative function does it perform?

What is landscape?

Consider a painting of a landscape or look out a window. We imagine, interpret and construct an image of the ‘landscape’ that we see. It’s not surprising that landscapes (like the paintings of them) are valued through human perceptions, and evolve through closely interdependent human-nature relationships. Landscapes are co-constructed by society and the biophysical environment. Landscape change is, therefore, a continuous reflection of the evolving coupled responses of environment and institutions. Landscapes are especially meaningful to those who live in them.

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Modeling as social practice

SDC10303
Jeremy Trombley (biography)

By Jeremy Trombley

Modeling – the creation of simplified or abstract representations of the world – is something that people do in many different ways and for many different reasons, and is a social practice. This is true even in the case of scientific and computational models that don’t meet the specific criteria of “participatory” or “collaborative.” Scientists and modelers interact with one another, share information, critique and help to refine one another’s work, and much more as they build models.

Furthermore, all of these activities take place within broader social structures – universities, government agencies, non-government organizations, or simply community groups – and involve resources – funding sources, technologies – that also have social factors that are both embedded within and emerging from them. Understanding the relationship between all of these social dimensions as well as those of the problems that modeling is being used to address is an important task, particularly in participatory modeling projects.

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Practicality In Complexity (reblogged)

Three points in this blog post by Nora Bateson resonate:

1. The idea of “catching the rhythm” of the “patterns of movement” in our constantly changing world.
2. More effectively taking context into account.
3. “We cannot know the systems, but we can know more. We cannot perfect the systems, but we can do better.”

The challenge is to develop methods and processes to better achieve these goals. (Reblogged by Gabriele Bammer)