Publications & Resources

Explore key scholarship, reports, resources and work from our community. 

Our faculty, students and researchers work together everyday to contribute to a better world by grappling with urgent problems we are facing in India. We conduct rigorous work to produce high quality learning resources and publications to contribute to public discourse and social change. Here, we feature a sample from our work for everyone to access. You can explore featured resources, policies, and the latest publications from the University. 

To explore all the work of our University, please visit our publications repository.

  • Article

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    Abstract

    The social – ecological systems (SES) framework (Ostrom 2009, Science. 325(5939):419 – 22) typologically decomposes SES characteristics into nested, tiered constituent variables. Yet, aligning the framework’s concepts of resource system (RS) and resource unit (RU) with realities of individual case studies poses challenges if the underlying SES is not a single RS, but a mid to large-scale nested RS (NRS). Using a diagnostic approach, we describe NRSs — and the activities and networks of adjacent action situations (NAAS) containing them. An NRS includes the larger RS and multiple interlinked semi-autonomous subsidiary RSs, each of which support simultaneous, differently managed appropriation of individual RUs. We further identify NAASs operating within NRSs in two diverse empirical cases — networks of lake systems in Bengaluru, India and German wheat breeding systems — representing a lever towards understanding transformation of SESs into sustainable futures. This paper contributes towards unpacking and diagnosing complexities within mid to large-scale RSs and their governance. It provides a generalizable, rigorous approach to SES case study analyses, thereby advancing methods for synthesis in sustainability science.

    Cite this article: Unnikrishnan, H., Katharina Gerullis, M., Cox, M. et al. Unpacking dynamics of diverse nested resource systems through a diagnostic approach. Sustain Sci (2023). https://​doi​.org/​10​.​1007​/​s​11625-022 – 01268‑y

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