Social learning – Page 2 – Integration and Implementation Insights

Designing for impact in transdisciplinary research

August 13, 2021February 16, 2017

By Cynthia Mitchell, Dena Fam and Dana Cordell

Starting with richly articulated pictures of where we would like to be at some defined point in the future has powerful consequences for any human endeavour. How can we use such “Outcome Spaces” to guide the conception, design, implementation, and evaluation of transdisciplinary research?

Our Outcome Spaces Framework (Mitchell et al., 2017) considers three essential impacts:

(1) improving the situation,
(2) generating relevant stocks and flows of knowledge, and
(3) mutual and transformational learning by the researcher/s and involved participants.

Learning through modeling

August 24, 2022November 17, 2016

By Kirsten Kainz

How can co-creation communities use models – simple visual representations and/or sophisticated computer simulations – in ways that promote learning and improvement? Modeling techniques can serve to generate insights and correct misunderstandings. Are they equally as useful for fostering new learning and adaptation? Sterman (2006) argues that if new learning is to occur in complex systems then models must be subjected to testing. Model testing must, in turn, yield evidence that not only guides decision-making within the current model, but also feeds back evidence to improve existing models so that subsequent decisions can be based on new learning.