Problem framing

A process for generating new cross-disciplinary projects

By Gemma Jiang

author_gemma-jiang
Gemma Jiang (biography)

What is a good way for researchers in large cross-disciplinary science initiatives, who may not know each other well, to generate viable project ideas?

This blog post introduces a field-tested “double helix” process that leverages the benefits of idea generation by a large group and idea refinement in small groups.

This double helix process is most helpful in large cross-disciplinary science initiatives that meet at least one of the following three characteristics:

  • Tackling wicked problems with both scientific and societal significance
  • Requiring deep integration across multiple disciplines that will eventually lead to new meta-disciplines
  • Consisting of more than 20 core research members.

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System redesign toward creating shared value

By Moein Khazaei, Mohammad Ramezani, Amin Padash and Dorien DeTombe

authors_moein-khazaei_mohammad-ramezani_amin-padash_dorien-detombe
1. Moein Khazaei (biography)
2. Mohammad Ramezani (biography)
3. Amin Padash (biography)
4. Dorien DeTombe (biography)

How can services that are provided to citizens be overhauled so that they will survive, be competitive and be fair (eg., accessible to all)? Is there a systematic way in which shared value can be created? By shared value we mean combining social and environmental interests with corporate interests.

We have developed a methodology that we call “System redesign toward creating shared value” or SYRCS. It comprises 4 stages, shown in the figure below. They are:

  1. emancipation and critical thinking
  2. problem structuring
  3. multi-criteria and quantitative decision-making
  4. creating shared value.

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Considering uncertainty, awareness and ambiguity as a three-dimensional space

By Fabio Boschetti

author-fabio-boschetti
Fabio Boschetti (biography)

The concept of unknown unknowns highlights the importance of introspection in assessing knowledge. It suggests that finding our way in the set of known-knowns, known-unknowns, unknown-knowns and unknown-unknowns, reduces to asking:

  1. how uncertain are we? and
  2. how aware are we of uncertainty?

When a problem involves a decision-making team, rather than a single individual, we also need to ask:

  1. how do context and perception affect what we know?

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A heuristic framework for reflecting on joint problem framing

By BinBin Pearce and Olivier Ejderyan

authors_binbin-pearce_olivier-ejderyan
1. BinBin Pearce (biography)
2. Olivier Ejderyan (biography)

What is joint problem framing? What are the key issues that joint problem framing has to address? How can joint problem framing be improved?

What is joint problem framing?

A key aspect of tackling complex problems is effectively bringing together differing points of view. These points of view are what Craik (1943) refers to as “small-scale models” of the problem situation. These are mental models formed from each individual’s experiences, interests, knowledge and environment. These mental models then set the boundaries for what problem definitions and solutions are possible and relevant to consider.

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How can expertise in research integration and implementation help tackle complex problems?

By Gabriele Bammer

author - gabriele bammer
Gabriele Bammer (biography)

What is expertise in research integration and implementation? What is its role in helping tackle complex societal and environmental problems, especially those dimensions that define complexity?

Expertise in research integration and implementation

Addressing complex societal and environmental problems requires specific expertise over and above that contributed by existing disciplines, but there is little formal recognition of what that expertise is or reward for contributing it to a research team’s efforts. In brief, such expertise includes the ability to:

  • identify relevant disciplinary and stakeholder inputs
  • effectively integrate them for a more comprehensive understanding of the problem
  • support more effective actions to ameliorate the problem.

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A framework to evaluate the impacts of research on policy and practice

By Laura Meagher and David Edwards

authors_laura-meagher_david-edwards
1. Laura Meagher (biography)
2. David Edwards (biography)

What is meant by impact generation and how can it be facilitated, captured and shared? How can researchers be empowered to think beyond ‘instrumental’ impact and identify other changes generated by their work? How can the cloud of complexity be dispersed so that numerous factors affecting development of impacts can be seen? How can a way be opened for researchers to step back and reflect critically on what happened and what could be improved in the future? How can research teams and stakeholders translate isolated examples of impact and causes of impact into narratives for both learning and dissemination?

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Practical tips to foster research uptake

By Emily Hayter and Verity Warne

authors_emily-hayter_verity-warne
1. Emily Hayter (biography)
2. Verity Warne (biography)

How can researchers and policy makers work together to foster more systematic uptake of research in policy making?

In a series of workshops at the European Commission Joint Research Centre’s Evidence and Policy Summer School on migration and demography, participants identified some of the most critical stages where scientists and policymakers interact: problem definition, research process, and communication of results. We then built up a bank of practical ideas and suggestions for each stage. Although the focus of the workshops was on migration and demography, our suggestions have broader relevance.

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A checklist for documenting knowledge synthesis

By Gabriele Bammer

Gabriele Bammer (biography)

How do you write-up the methods section for research synthesizing knowledge from different disciplines and stakeholders to improve understanding about a complex societal or environmental problem?

In research on complex real-world problems, the methods section is often incomplete. An agreed protocol is needed to ensure systematic recording of what was undertaken. Here I use a checklist to provide a first pass at developing such a protocol specifically addressing how knowledge from a range of disciplines and stakeholders is brought together.

KNOWLEDGE SYNTHESIS CHECKLIST

1. What did the synthesis of disciplinary and stakeholder knowledge aim to achieve, which knowledge was included and how were decisions made?

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Linking learning and research through transdisciplinary competences

By BinBin Pearce

BinBin Pearce (biography)

What are the objectives of transdisciplinary learning? What are the key competences and how do they relate to both educational goals and transdisciplinary research goals? At Transdisciplinarity Lab (TdLab), our group answered these questions by observing and reflecting upon the six courses at Bachelor’s, Master’s, and PhD levels that we design and teach in the Department of Environmental Systems Science at ETH Zurich, Switzerland.

Six competence fields describe what we hope students can do with the help of our courses. A competence field contains a set of interconnected learning objectives for students. We use these competence fields as the basis for curriculum design.

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Using Ostrom’s social-ecological systems framework to set context for transdisciplinary research: A case study

By Maria Helena Guimarães

maria-helena-guimaraes
Maria Helena Guimarães (biography)

How can Elinor Ostrom’s social-ecological systems framework help transdisciplinary research? I propose that this framework can provide an understanding of the system in which the transdisciplinary research problem is being co-defined.

Understanding the system is a first step and is necessary for adequate problem framing, engagement of participants, connecting knowledge and structuring the collaboration between researchers and non-academics. It leads to a holistic understanding of the problem or question to be dealt with. It allows the problem framing to start with a fair representation of the issues, values and interests that can influence the research outcomes. It also identifies critical gaps as our case study below illustrates.

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Ten steps to make your research more relevant

By Christian Pohl, Pius Krütli and Michael Stauffacher

Interdisciplinary and transdisciplinary research often aims at broader impact in society. But, how can you make such impact happen?

A researcher might face a number of questions (s)he was not necessarily trained to address, such as:

  • How can I be sure that my research question will provide knowledge relevant for society?
  • Who in this fuzzy thing called society are my primary target audiences anyway?
  • Are some of them more important for my project than others?

Over the last several years, we developed 10 steps to provide a structured way of thinking through how to improve the societal relevance of a research project, as summarised in the table below.

When working with researchers to plan their impact, we usually go through the 10 steps in a workshop format, as follows:

  • Before each step we provide a brief account of the underlying theory and clarify why the step matters.
  • Then we ask the researchers to complete a concrete task, reflecting on their own project
  • Researchers usually also discuss their reflections with each other and learn about different approaches to address societal relevance.
  • They also discuss the tasks with us, but we are not necessarily the ones who know the right answers.

The ten steps work best in a context where a research project leader, for example, provides detailed project knowledge and the whole group is interested in discussing the societal impact of research.

In our experience, the ten steps trigger reflection on one’s own research and allow for fruitful coproduction of knowledge in the project team on how to improve the societal relevance of projects.

What techniques have you used to plan, and reflect on, making your research socially relevant?
pohl
Christian Pohl (biography)

pius-krutli
Pius Krütli (biography)

michael-stauffacher
Michael Stauffacher (biography)

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Making sense of wicked problems

By Bethany Laursen

bethany-laursen
Bethany Laursen (biography)

How do we know when we have good answers to research questions, especially about wicked problems?

Simply and profoundly, we seek answers that make good sense. Every formal method, framework, or theory exists, in the end, to help us gain insight into a mystery. When researching wicked problems, choosing methods, frameworks, and theories should not be guided by tradition or disciplinary standards. Instead, our design choices need to consider more fundamental justifications that cut across disciplinary boundaries. A fundamental criterion for good research is that it makes good sense. By making this criterion our “true North” in wicked problems research, we can more easily find and justify integrating disciplinary (or cultural, or professional) perspectives that apply to a particular problem.

So, how do we make good sense in wicked problems scholarship?

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