The notion of transformation is gaining traction in contemporary sustainability debates. New ways of theorising and supporting transformations are emerging and, so the argument goes, opening exciting spaces to (re)imagine and (re)structure radically different futures. Yet, questions remain about how the term is being translated from an academic concept into an assemblage of normative policies and practices, and how this process might shape social, political, and environmental change. Motivated by these questions, we identify five latent risks associated with discourse that frames transformation as apolitical and/or inevitable. We refer to these risks as the dark side of transformation. While we cannot predict the future of radical transformations towards sustainability, we suggest that scientists, policymakers, and practitioners need to consider such change in more inherently plural and political ways.

Complex challenges demand complex solutions. By their very nature, these problems are difficult to define and are often the result of rigid social structures that effectively act as "traps". However, resilience theory and the adaptive cycle can serve as a useful framework for understanding how humans may move beyond these traps and towards the social innovation that is required to address many complex problems. This paper explores the critical question of whether networks help facilitate innovations to bridge the seemingly insurmountable chasms of complex problems to create change across scales, thereby increasing resilience. The argument is made that research has not yet adequately articulated the strategic agency that must be present within the network in order for cross scale interactions to occur. By examining institutional entrepreneurship through case studies and examples, this paper proposes that agency within networks requires specific skills from entrepreneurs, including ones that enable pattern generation, relationship building and brokering, knowledge and resource brokering, and network recharging. Ultimately, this begins to build a more complete understanding of how networks may improve human capacity to respond to complex problems and heighten overall resilience.

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