What lessons for improving interdisciplinary collaboration emerged from the 2019 Science of Team Science conference?

By Julie Thompson Klein and Ben Miller

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Julie Thompson Klein’s biography

Six lessons emerged from the seven plenary panels at the May 2019 Science of Team Science conference hosted by Michigan State University in the US.

1. Understanding the nature of team science is crucial to monitoring team behavior, including managing conflict, diverse voices, and strong leadership.

The Science of Groups and Teams plenary panel affirmed one approach alone is not sufficient.

Read moreWhat lessons for improving interdisciplinary collaboration emerged from the 2019 Science of Team Science conference?

Eight grand challenges in socio-environmental systems modeling

By Sondoss Elsawah and Anthony J. Jakeman

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Sondoss Elsawah (biography)

As we enter a new decade with numerous looming social and environmental issues, what are the challenges and opportunities facing the scientific community to unlock the potential of socio-environmental systems modeling?

What is socio-environmental systems modelling?

Socio-environmental systems modelling:

  1. involves developing and/or applying models to investigate complex problems arising from interactions among human (ie. social, economic) and natural (ie. biophysical, ecological, environmental) systems.
  2. can be used to support multiple goals, such as informing decision making and actionable science, promoting learning, education and communication.
  3. is based on a diverse set of computational modeling approaches, including system dynamics, Bayesian networks, agent-based models, dynamic stochastic equilibrium models, statistical microsimulation models and hybrid approaches.

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Fifteen characteristics of complex social systems

By Hamilton Carvalho

Author - Hamilton Carvalho
Hamilton Carvalho (biography)

What is it about complex social systems that keeps reproducing old problems, as well as adding new ones? How can public policy move away from what I call the Mencken Syndrome (in reference to a quotation from American journalist Henry Mencken) – that is, continually proposing clear and simple solutions to complex social problems – that are also wrong!

With this goal in mind, I have compiled a list of fifteen major characteristics of complex social systems based on the system dynamics and complexity sciences literatures, as well as my own research.

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Why do we protect ourselves from unknown unknowns?

By Bem Le Hunte

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Bem Le Hunte (biography)

Why do very few people enjoy sitting comfortably with their unknown unknowns? Why is there an uncomfortable liminality ‘betwixt and between’ the known and unknown worlds?

How can we explore unknowns in a more speculative, playful, creative capacity, through our imaginations? How can we use lack of knowledge to learn about ourselves and let it teach us how to be comfortable and curious in the midst of unknowing?

The power and allure of unknown unknowns have long been recognised by creative practitioners as a holy grail for inspiration.

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Decentering academia through critical unlearning in transdisciplinary knowledge production / Descentralizando la academia a través del des- aprendizaje crítico en la producción de conocimiento transdiciplinario

By Gabriela Alonso-Yanez, Lily House-Peters and Martin Garcia Cartagena

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Gabriela Alonso-Yanez (biography)

A Spanish version of this post is available

How can academic researchers working in transdisciplinary teams establish genuine collaborations with people who do not work in academia? How can they overcome the limitations of their discipline-based training, especially assigning value and hierarchy to specialized forms of knowledge production that privileges certain methodologies and epistemologies over others?

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Lily House-Peters (biography)

We argue that to truly engage in collaborative work, academics need to participate in deliberate processes of critical unlearning that enable the decentering of academia in the processes and politics of transdisciplinary knowledge production and knowledge translation. What we mean by this is that academics have to be willing to acknowledge, reflect upon, and intentionally discard conventional avenues of designing and conducting research activities in order to be authentically open to other ways of exploring questions about the world in collaboration with diverse groups of social actors.

Read moreDecentering academia through critical unlearning in transdisciplinary knowledge production / Descentralizando la academia a través del des- aprendizaje crítico en la producción de conocimiento transdiciplinario

Detecting non-linear change ‘inside-the-system’ and ‘out-of-the-blue’

Susan van ‘t Klooster and Marjolijn Haasnoot

Author - Susan van ‘t Klooster
Susan van ‘t Klooster (biography)

Change can be expected, envisioned and known, and even created, accelerated or stopped. But change does not always follow a linear and predictable path, nor is it always controllable. Novelty and surprise are inescapable features of life. Non-linear change can involve threats or opportunities.

Although it defines the world we live in, who we are, the outlooks we have and what we do, we often do not relate to non-linear change in a meaningful way. What is holding us back from engaging with it? How do we deal with non-linear change? And what are promising ways forward?

Read moreDetecting non-linear change ‘inside-the-system’ and ‘out-of-the-blue’