September 13, 2016
Think like a network, act like a node.
At IISC, we continue to emphasize that networks, not organizations, are the unit of social change. Part of the reason for this is that networks at their best are able to leverage what are known as “network effects.” These effects, as described by Madeleine Taylor and Peter Plastrik, include the following:
Rapid Growth and Diffusion
Through its myriad nodes and links, as well as the ongoing addition of participants and new pathways, a dense and intricate network can expand quickly and broadly. This can be critical for spreading information and other resources and mobilizing actors in ways that organizations simply cannot achieve.
March 22, 2016
Not long ago, at a gathering of the Food Solutions New England Network Team, one member, Dorn Cox, told the story of a farmer who has become renowned for the health of his soil. Remarkably, the soil health consistently increases, due to on-farm practices created over years of close observation and experimentation. This is significant as it has boosted the quality of the farm’s produce, reduced the need for and cost of inputs (helping to increase revenues), increased the soil’s ability to handle extreme precipitation and dry conditions brought on by climate change, and mitigates carbon release.
This accomplished practitioner has subsequently been sought out by academics and has served as lead author on numerous peer reviewed academic articles about his soil health practices. Dorn then relayed that the farmer recently reported that because of academic protocols he cannot get access to the very articles he has co-authored. Dorn punctuated his story with the lesson that:
To support learning, equity and resilience, knowledge wants and needs to be free and accessible.
This is a key principle for leveraging networks to make change. In the old world, knowledge was owned and proprietary. But in this increasingly volatile world, to help people be adaptive to change, there is need for robust flows of information that are equitably generated and accessible. This was a lesson learned by professor Anil K. Gupta, before he started the Honey Bee Network in India.
By his own admission, Dr. Gupta had been engaged in the practice of extracting information from people that served his own or purely academic purposes, without ensuring that the information made it back into the hands and minds of practitioners. He realized that “on efficiency and ethical grounds,” this could not continue. Read More