In the face of profound shock and change, individuals, organizations, and communities are seeking new ways to prepare for an uncertain future, their only certainty being that the present trajectory of change will intensify. Pandemics, wildfires, heat waves, hurricanes, flooding, social unrest, economic strife, and a rapidly changing climate system comprise a resounding wake up call: we must reinvent our institutions to think about and act with a resilient mindset. The purpose of the playbook is to support these efforts and build stronger, adaptive, and resilient communities.
Describes the LIHEAP benefits distributed to electric utilities companies in Arizona for fiscal year 2019.
This report describes study work and results of KER and AAMHO collaboration over 2022 following up with recommendations and future plans. It includes new data, research publications and media coverage that supported this work in collaboration between the university and community partners for resilience in Arizona.
The second project is the Structural Inertia Model, which is intended to build theory around why larger firms may be less successful in capturing new marketshare than smaller firms, as well as to advance fitness landscape methods. The model explores the possibility that firms with larger scopes may be less effective in mitigating the costs of cooperation because conditions may arise that cause intrafirm conflicts. The model is implemented on structured fitness landscapes derived using the maximal order of interaction (NM) formulation and described using local optima networks (LONs), thus integrating these novel techniques.
Finally, firm dynamics can serve as a proxy for the ease at which people can voluntarily enter into the legal cooperative agreements that constitute firms. The third project, the Emergent Firm model, is an exploration of how this dynamic of voluntary association may be affected by differing capital institutions, and explores the macroeconomic implications of the economies that emerge out of the various resulting firm populations.