Browsing by Author "Nowell, Branda L."

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    Methodological considerations in pre- and post-emergency network identification and data collection for disaster risk reduction: Lessons from wildfire response networks in the American Northwest
    Faas, A. J.; Velez, Anne-Lise K.; Nowell, Branda L.; Steelman, Toddi A. (Elsevier, 2019-11)
    While social network analysis continues to enjoy considerable attention, literature on social network data collection often lacks explicit attention to methods. This presents special challenges to approaching the problems of undertaking social network analysis and of studying disaster preparedness, planning, and, ultimately, risk reduction. In this paper, we address this issue by presenting our synthesis of several strategies for network analyses from our processes for network identification and data collection in a longitudinal study of multi-jurisdictional, inter-agency wildfire response networks in the American Northwest. In the course of this ongoing project, the process of detecting and collecting data on pre-existing and emergent networks in the real world was not a matter of one theoretical or empirical judgement, but rather several. We alternated between: (1) spatio-ecological detection of jurisdictions adjacent to areas at-risk for large wildfires; (2) a hybrid approach to selecting actors and agencies identified as common participants in wildfire response networks; and (3) event-based detections of parties to specific wildfire response networks. We conclude with steps for thinking through network identification and bounding, integrating networks, conceptualizing rosters and ties in initial and events-based phases, and how to manage longitudinal network data collection.
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    Pathways of Representation in Network Governance: Evidence from Multi-Jurisdictional Disasters
    Steelman, Toddi A.; Nowell, Branda L.; Velez, Anne-Lise K.; Scott, Ryan (Oxford University Press, 2021-03-04)
    Governance systems reconcile diverse interests to enable collective decision-making and action. Questions related to representation in the governance of networks are addressed in the literature; underexplored is the empirical variation in governance arrangements and pathways of representation. Complex, multi-jurisdictional disasters provide a robust theoretical and empirical context in which to investigate network governance pathways due to the tensions between democratic principles of representation and the need for timely, expert-informed response actions. In this article, we address three questions related to network governance, representation, and complex disasters: what governance structures allow for a representation of diverse interests? What governance structures provide a perception of voice to key affected parties? And where do we see variation in the kinds of structures that give voice to these entities? Using an inductive, grounded theory approach along with mixed methods that include case studies, interviews, and archival data in the form ICS 209 incident reports, we provide evidence from 10 of the most jurisdictionally complex wildfires that took place in 2017. In doing so, we introduce the distinction between macro and micro structures of network governance for understanding more precisely the pathways by which representation occurs and how representation functions in disaster networks. There is no singular normative goal when we think about network governance and representation in disasters; rather there are competing contingencies that emerge out of complex contexts. We propose four key propositions to guide further work in this arena.