How to organize an “all-hands” meeting

By Gemma Jiang, Diane Boghrat and Jenny Grabmeier

authors_emma-jiang_diane-boghrat_jenny-grabmeier
1. Gemma Jiang (biography)
2. Diane Boghrat (biography)
3. Jenny Grabmeier (biography)

What is an “all-hands” meeting? What’s required to assemble an effective planning team? What should the planning team consider in setting parameters for the meeting?

What is an “all-hands” meeting?

Here we consider all-hands meetings in the context of our experience with a large cross-disciplinary institute, where members are geographically distributed. An annual all-hands meeting is an effective mechanism many such organizations employ to bring all members together in person.

An all-hands meeting differs from a science conference in two main ways. First, its participants are identified members within the boundary of the organization. It is usually not open to a wider audience. Second, its topic areas extend beyond the research projects supported by the organization. Such topics can include strategic planning among leadership, community building among early career researchers, professional and interpersonal capacity building topics, and development of team science competency.

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Interdisciplinary teamwork: Expert and non-expert at the same time

By Annemarie Horn and Eduardo Urias

authors_annemarie-horn_eduardo-urias
1. Annemarie Horn (biography)
2. Eduardo Urias (biography)

How do teams engage in interdisciplinary knowledge integration and how can they be supported in doing so? Why does simple sharing and questioning of knowledge not necessarily lead to interdisciplinary knowledge integration? And what does it mean to act as both an expert and a non-expert in interdisciplinary teamwork, and why is it hard?

In a five month course, we supervised a team of eight master students in the integration of insights and concepts from their individual, discipline-based projects into a joint work about circular economy. Based on our earlier research, described in our i2Insights contribution on four typical behaviours in interdisciplinary knowledge integration, we expected that if we helped the students to share their own knowledge and to engage with each other’s knowledge, that integration would emerge. We therefore had students prepare and give presentations about their individual projects, background, and conceptual underpinnings to share their knowledge.

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Six lessons for newly-forming large research consortia

By Daniel Black and Geoff Bates

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1. Daniel Black (biography)
2. Geoff Bates (biography)

What are some key tips for establishing new, large consortia to tackle complex global challenges? What are the best ways to coordinate large groups of researchers, practitioners and publics towards a shared goal?

Describing this type of research is cumbersome. As a shorthand we have started to use the terms ‘LMITs’ (pronounced ‘limits’) and ‘New LMITs’ to denote similarly characterised projects and teams that are: ‘Newly forming’, ‘Large-scale’, ‘Mission-orientated’, and ‘Inter- and Trans-disciplinary’.

Drawing on our own experience over the past three years of establishing a New LMIT, we suggest six primary inter-related recommendations for other New LMITs, and for those who fund or support such research groups:

1. Factor in (far) more time than you might expect
2. Seek out funders who understand

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An analytical framework for knowledge co-production

By Marianne Penker

Marianne Penker (biography)

How can students and academics starting out in transdisciplinary research begin to come to grips with knowledge co-production?

Colleagues and I developed a useful analytical framework comprising the following four elements:

  1. typology of actor roles (who?)
  2. research phases (when?)
  3. objectives and forms of actor integration (why?)
  4. types of knowledge (what?).

These four elements are illustrated in the figure below.

The development of the framework was based on the literature and our experiences in running a doctoral school on transdisciplinary sustainability research (see Enengel et al. 2012).

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Five core competency areas for participatory modeling

By Sondoss Elsawah, Elena Bakhanova, Raimo P. Hämäläinen and Alexey Voinov

mosaic_authors_sondoss-elsawah_elena-bakhanova_raimo-hamalainen_alexey-voinov
1. Sondoss Elsawah (biography)
2. Elena Bakhanova (biography)
3. Raimo P. Hämäläinen (biography)
4. Alexey Voinov (biography)

What knowledge and skills do individuals and teams need to be effective at participatory modeling?

We suggest that five core competency areas are essential for participatory modeling:

  1. systems thinking
  2. modeling
  3. group facilitation
  4. project management and leadership
  5. operating in the virtual space.

These are illustrated in the figure below.

These competency areas have naturally overlapping elements and should therefore be seen as a holistic and interdependent set. Further, while certain competencies such as modeling skills can be addressed by individual members of a participatory modeling team, the entire process is a team effort and it is necessary to also consider the competencies as a group skill.

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Wisely navigating knowledge co-production: Towards an ethics that builds capacities

By Guido Caniglia and Rebecca Freeth

authors_guido-caniglia_rebecca-freeth
1. Guido Caniglia (biography)
2. Rebecca Freeth (biography)

How can I ensure that marginalized voices are heard in this project? Whom do I call on to offer the next perspective in this workshop and why? How can I intervene in this particular disagreement in a productive way? These are typical questions that researchers and practitioners involved in knowledge co-production processes ask themselves. They express deep ethical concerns, which also have epistemological and political implications, as they address the question: What should I do in this situation? What is right and wrong for me to do here?

We suggest that a perspective based on the ancient virtue of practical wisdom may help researchers and practitioners alike working in knowledge co-production to navigate the complexities of these questions.

Practical wisdom: An ancient virtue for wise navigation

Our answers to the deep ethical questions that emerge in collaborative and participatory research will vary depending on the specifics of the situation we are in, who is involved, as well as our own positionality and role in research projects or academic institutions. There is no formula to follow. 

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An effective way to organize research coordination meetings

By Gemma Jiang, Diane Boghrat and Jenny Grabmeier

authors_emma-jiang_diane-boghrat_jenny-grabmeier
1. Gemma Jiang (biography)
2. Diane Boghrat (biography)
3. Jenny Grabmeier (biography)

How can large cross-disciplinary science institutes consisting of multiple teams working on multiple research projects overcome significant challenges to research coordination? Key aspects are:

  1. Visibility: how to keep different project teams informed of each other’s progress?
  2. Learning: how to support cross-project learning?
  3. Accountability: how to keep project teams accountable for their goals and deliverables?

Tackling these challenges requires a combination of asynchronous communications such as Slack, newsletters and emails, as well as synchronous communications such as research coordination meetings.

We describe an effective way of organizing weekly research coordination meetings in an institute bridging the gap between computer science and biology and share key reflections.

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Keyword quiz: an icebreaker method for interdisciplinary teams

By Sebastian Rogga and Anton Parisi

authors_sebastian-rogga_anton-parisi
1. Sebastian Rogga (biography)
2. Anton Parisi (biography)

How can members of interdisciplinary teams quickly gain a better understanding of each other’s thematic preferences and skills in a way that is also engaging and fun?

We have developed a “keyword quiz” icebreaker method to facilitate exchange between members of interdisciplinary teams, especially between people who are not complete strangers to each other but are collaborating in a project context for the first time.

In brief, the idea is to communicate each member’s scientific profile based on keywords from publications that the team members have published and that they have selected based on specific categories.

The keywords of a publication are presented visually to the whole group and the team members then guess, in the form of a quiz, which team member published the associated publication.

After the author has been revealed, they share the reasons for choosing the publication.

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Externalizing implicit expectations and assumptions in transdisciplinary research

By Verena Radinger-Peer, Katharina Gugerell and Marianne Penker

authors_verena-radinger-peer_katharina-gugerell_marianne-penker
1. Verena Radinger-Peer (biography)
2. Katharina Gugerell (biography)
3. Marianne Penker (biography

How can implicit expectations and assumptions of team members in transdisciplinary research collaborations be identified?

We used Q-methodology as a tool to make diverse expectations and perceptions of transdisciplinary research collaborations tangible and thus negotiable.

Q-methodology is an established explorative, semi-quantitative method for investigating distinctive viewpoints of a given population based on inverted factor analysis. While we do not explain Q methodology here, it is increasingly used and we refer those who want to find out more to Watts and Stenner (2012).

One disadvantage of the Q-method is the amount of time and effort that has to be invested in developing the Q-statements. Here we offer the statements we developed through an extensive process in our study for others to use either in their own Q methodology or in surveys.

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Improving cross-disciplinary collaboration with strategy knotworking and ecocycle planning

By Nancy White

nancy-white
Nancy White (biography)

How can cross-disciplinary teams improve their project results and cross-team learning, especially when they are part of a portfolio of funded projects?

I have worked with cross disciplinary teams in international agriculture development, ecosystems management and mental health. For the most part, these are externally funded initiatives and have requirements both for results (application of the work) and for cross-team learning. Often there is not useful clarity about how funder and grantee agendas work in sync. And there is rarely opportunity or support for shared optimization and exploration across different portfolios of funded work.

I have used the six knotworking questions plus ecocycle planning from Liberating Structures to make it possible for a group to look back critically, assess the current state, and prospectively generate options to move forward.

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Dealing with differences in interests through principled negotiation

By Gabriele Bammer

gabriele-bammer_nov-2021
Gabriele Bammer (biography)

How can the interests of a diverse group of researchers and stakeholders tackling a complex societal problem be understood and managed?

Interests arise when a person has a stake in something and stands to gain or lose depending on what happens to that something:

  • researchers commonly have a stake in advancing their work and careers,
  • stakeholders affected by a societal problem generally have a stake in improving the problem, and
  • stakeholders in a position to do something about a problem generally have a stake in improving outcomes for the problem through their sphere of influence.

Interests relate not only to personal conditions or stakes (self-interest), but also to principles such as reducing inequities and promoting justice.

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Resolving disagreements by negotiating agreements in the right way

By Lawrence Susskind

lawrence-susskind
Lawrence Susskind (biography)

How can interdisciplinary teams avoid getting stuck on questions like:

  1. What kinds of data do we need to collect?
  2. What methods or techniques should we use to analyze our data?
  3. How should we handle gaps or incongruities in our findings?
  4. What are the policy implications or prescriptions that follow from our findings?

I want to share some lessons I’ve learned about handling disagreements on these four questions.

Research Design

One interdisciplinary project I worked on many years ago involved trying to assess the feasibility of burying nuclear waste in the ocean floor. The engineers assumed the problem had an engineering solution.

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