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The scale and urgency of sustainability problems the world over has led to calls for sustainability transformations in cities, regions, and countries. Such calls for transformation are underlain by a persistent knowledge-to-action gap between scientific knowledge production, policy, and practice. To rise to the challenges of sustainability and resilience, municipal administrators need to set evidence-based and ambitious sustainability targets and develop strategies to achieve them. Simultaneously, transdisciplinary sustainability science researchers need to generate scientific knowledge to further enable cities along pathways of transformation. This paper details a collaborative backcasting game, AudaCITY, developed to build transformative capacity in city administrations while also generating deep contextual knowledge to inform a transformative sustainability science research agenda. We present AudaCITY's key features, potential applications and adaptations, and exemplary outputs and outcomes for cities and researchers. We conclude with recommendations for adopting and adapting AudaCITY for use in action-oriented and transformational sustainability science and capacity building.

This paper highlights current technological limitations and offers recommendations for scientists and engineers when designing devices to support aging in place. Existing technology for older adults to support independent living is examined as well as the implications of contextual factors, namely, location, on how people live and age based on the location in which they reside. This is the first review to investigate how challenges of aging change relative to location of residence and, subsequently, how such variation may inform technological solutions. To date, few devices consider the environment in which older individuals age. Places examined include aging: at home; assisted living facilities; nursing homes; and family housing. Challenges found in common across these locations were financial strain and isolation. In addition, each setting was found to have its own unique hurdles. Understanding these barriers is essential to developing technology that enables older adults to successfully age in place.