explore. engage. elevate.
Our work recognizes that knowledge sharing is not linear, but highly relational, multidirectional, co-constructed, and built on trust. This approach requires us to explore and share knowledge in new spaces and ways.
Drawing on social network science, we examine how knowledge and resources move through existing networks—called social opportunity spaces (SOS). Engaging with and within these SOS creates opportunities to better identify and understand the needs, behaviors, and perspectives of audiences.
Our approach invites the disruption of more traditional methods that often can replicate inequities and do not always reflect all clusters. Engaging in SOS enables Resource Architects to better partner with and understand clusters to be more responsive to local needs, assets, and funds of knowledge.What’s a Resource Architect?
Statement on Biases
While the capabilities of social network and content models are impressive, they may also reinforce or exacerbate societal biases. While the extent and nature of the biases in our models have yet to be fully documented, we are aware they may generate content that unintentionally perpetuates existing inequities. Work to analyze the nature and extent of these limitations is ongoing and will be documented and addressed in more detail as the tools and techniques in the space advance.