Community member post by Dan Stokols, Judith S. Olson, Maritza Salazar and Gary M. Olson
How can an ecosystem approach help in understanding and improving team science? How can this work in practice?
An Ecosystem Approach
Collaborations among scholars from different fields and their community partners are embedded in a multi-layered ecosystem ranging from micro to macro scales, and from local to more remote regions. Ecosystem levels include: Continue reading
Community member post by Dena Fam, Abby Mellick Lopes, Alexandra Crosby and Katie Ross
| How can transdisciplinary educators help students reflexively understand their position in the field of research? Often this means giving students the opportunity to go beyond being observers of social reality to experience themselves as potential agents of change.
To enable this opportunity, we developed a model for a ‘Transdisciplinary Living Lab’ (Fam et al., forthcoming). This builds on the concept of a collaborative test bed of innovative approaches to a problem or situation occurring in a ‘living’ social environment where end-users are involved. For us, the social environment is the university campus. We involved two universities in developing this model – the University of Technology Sydney and Western Sydney University. We aimed to help students explore food waste management systems on campus and to consider where the interventions they designed were situated within global concerns, planetary boundaries and the UN Sustainable Development Goals. The Transdisciplinary Living Lab was designed and delivered in three largely distinct, yet iterative phases, scaling from individual experiences to a global problem context. These phases of the living lab, which work to integrate personal and professional knowledge and practice, are also shown in the figure below: 1. Entering the living lab was the phase where students were introduced to collaborative teamwork processes, expectations of joint problem formulation and critical reflection on their own position within the system being explored: ‘digging where they stand’. This meant helping students consider their relationships with the food waste system as consumers of food and producers of waste, as well as their potential impact as designers of interventions in that system. 2. Transdisciplinary learning was the second phase where students were introduced to the concept of research as a process of system intervention, as well as skills for co-producing and integrating knowledge in collaboration with diverse partners in the food system. For the Transdisciplinary Living Lab at the University of Technology Sydney this meant listening to, questioning and collaborating with relevant stakeholders in the system to investigate historical and current approaches to the issue, and exploring precedents for dealing with food waste in other parts of the world. Central to this phase was ensuring the sharing of knowledge among the students as it was produced. This meant organising a publically accessible class blog that can be viewed at https://wealthfromwaste.wordpress.com/ and weekly debriefs and discussions on insights gained. |
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Reblogged from Ideas for Sustainability. Leverage points is a useful concept in many fronts. (Reblogged by Gabriele Bammer)
By Joern Fischer
Finally, the first paper is out from our Leverage Points project. It’s led by Dave Abson, and lays out a conceptual framework and research agenda, all around the notion of “deep leverage points”. Please share it through your networks.
The paper draws on Donella Meadows’ notion of “deep leverage points” – places to intervene in a system where adjustments can make a big difference to the overall outcomes. Arguably, sustainability science desperately needs such leverage points. Despite years of rhetoric on sustainability science bringing about “transformation”, the big picture is still pretty dull: globally at least, there is no indication that we’re starting to turn around the patterns of exponential growth that characterize our era. A potential reason is that much of sustainability science has focused on parameters and feedbacks, rather than system design or “intent” (see above) — when actually, it’s changing a system’s design…
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