Next Article in Journal
Consumer Valuation of Remanufactured Products: A Comparative Study of Product Categories and Business Models
Previous Article in Journal
Improving Water Distribution Uniformity by Optimizing the Structural Size of the Drive Spoon Blades for a Vertical Impact Sprinkler
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Towards a Scalable Architecture for Smart Villages: The Discovery Phase

by
Vijaya Kumar Murty
1,2,* and
Sukarmina Singh Shankar
2,*
1
Department of Mathematics, University of Toronto, Toronto, ON M5S 2E4, Canada
2
Fields Institute for Research in Mathematical Sciences, Toronto, ON M5T 3J1, Canada
*
Authors to whom correspondence should be addressed.
Sustainability 2020, 12(18), 7580; https://doi.org/10.3390/su12187580
Submission received: 28 July 2020 / Revised: 3 September 2020 / Accepted: 10 September 2020 / Published: 14 September 2020

Abstract

Alleviating poverty, reducing inequality, and achieving economic prosperity and well-being
is a global challenge. The spread and quantum of this daunting challenge calls for a scalable solution.
The aim of the ‘Scalable Architecture for Smart Villages’ project is to contribute to an eective solution
which addresses scale as well as customization. In order to achieve both in our new framework for
smart villages, we take an endogenous approach. This approach emphasizes learning which will create
a catalytic eect for scale. Learning is an essential component in the process, both for the researchers
as well as members of the community. With these principles in mind, our approach proceeds in four
phases, namely discovery, planning, resourcing and executing. In this paper we outline the discovery
phase, which will lay the foundation for developing our framework of scalable smart villages.
The Discovery Phase is a research process where the community learns about itself and the researchers
learn about the underlying factors that can help uplift and develop a smart village. Using conventional
qualitative and quantitative research methodology, the researchers and the community will generate
baseline data which will help calibrate villages for future development into smart villages.
Keywords: smart village; discovery phase; smart infrastructure; smart cities; scalable architecture; endogenous approach smart village; discovery phase; smart infrastructure; smart cities; scalable architecture; endogenous approach

Share and Cite

MDPI and ACS Style

Murty, V.K.; Shankar, S.S. Towards a Scalable Architecture for Smart Villages: The Discovery Phase. Sustainability 2020, 12, 7580. https://doi.org/10.3390/su12187580

AMA Style

Murty VK, Shankar SS. Towards a Scalable Architecture for Smart Villages: The Discovery Phase. Sustainability. 2020; 12(18):7580. https://doi.org/10.3390/su12187580

Chicago/Turabian Style

Murty, Vijaya Kumar, and Sukarmina Singh Shankar. 2020. "Towards a Scalable Architecture for Smart Villages: The Discovery Phase" Sustainability 12, no. 18: 7580. https://doi.org/10.3390/su12187580

APA Style

Murty, V. K., & Shankar, S. S. (2020). Towards a Scalable Architecture for Smart Villages: The Discovery Phase. Sustainability, 12(18), 7580. https://doi.org/10.3390/su12187580

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop