NDLI: Poverty Eradication Inspired Computing

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Poverty Eradication Inspired Computing

Content Provider	Semantic Scholar
Copyright Year	2018
Abstract	This work is a foundational research, aimed at drawing the attention of computer scientists to poverty eradication as a serious global concern. It provides requisite system conceptualizations for more vigorous actions against poverty through the application of computing. In it, the researcher attempts to build a framework for the emergence of a new computing frontier tagged "Poverty Eradication Inspired Computing". Quite a number of complex human problems have been solved in the past through the application of Computer Science and Information Technology. An increased focus of computing towards poverty eradication is therefore expected to yield more impressive results. Poverty Eradication Inspired Computing as proposed in this work refers to computing efforts borne out of a strong desire to eradicate poverty. It is an emerging field which stresses the use of computing as a tool for anti-poverty drive. This research introduces the Hexagonal Model, and uses it to outline the core functional domains for the application of Poverty Eradication Inspired Computing. Corruption Eradication Inspired Computing, National Poverty Discovery Database, Agric Inspired Computing and a number of other related new system concepts are all explained in this research. Since the issue under study is an open and evolving one, this work makes some recommendations as well as calls for inputs from other researchers who share similar concerns. The overall objective is to fully eradicate poverty through the application of Computer Science and Information Technology.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.ijcaonline.org/archives/volume110/number7/19331-0867?format=pdf
Language	English
Access Restriction	Open
Subject Keyword	Computation (action) Computer science Computer scientist Emergence How True Feel Vigorous Right Now Inspiration function Radiology Information Systems Tracer
Content Type	Text
Resource Type	Article

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