P3 - Porous Pareto Partition

This essay is neither about focus (see page 39) nor about any target audience. It is a haphazard discussion of approaches to increase access to global public goods, in a manner that the economics of technology is not a barrier but a catalyst through convergence of non-formulaic entrepreneurial innov...

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Main Author: Datta, Shoumen
Other Authors: Massachusetts Institute of Technology. Auto-ID Laboratory
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/1721.1/123984
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author Datta, Shoumen
author2 Massachusetts Institute of Technology. Auto-ID Laboratory
author_facet Massachusetts Institute of Technology. Auto-ID Laboratory
Datta, Shoumen
author_sort Datta, Shoumen
collection MIT
description This essay is neither about focus (see page 39) nor about any target audience. It is a haphazard discussion of approaches to increase access to global public goods, in a manner that the economics of technology is not a barrier but a catalyst through convergence of non-formulaic entrepreneurial innovation. This essay is supposed to be off the beaten path, to be read on the unplanned journey on the road not taken.The content of the essay aspires to inform that tools and data related to the affluent world are not a template to be “copied” or applied to systems in the remaining (80%) parts of the world which may be under economic constraints. We need different thinking that resists the inclination of the affluent 20% of the world to treat the rest of the world (80% of the population) just as a market. The 80/20 distribution evokes the Pareto analogy in this essay.
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spelling mit-1721.1/1239842025-02-28T18:28:22Z P3 - Porous Pareto Partition Datta, Shoumen Massachusetts Institute of Technology. Auto-ID Laboratory Data, Analytics, Artificial Reasoning, Platforms, Sensors, Artificial Intelligence, Economics of Technology, Knowledge Graph, Materials Science, Halicin, Artificial Learning Tools (ART), Machine learning (ML) This essay is neither about focus (see page 39) nor about any target audience. It is a haphazard discussion of approaches to increase access to global public goods, in a manner that the economics of technology is not a barrier but a catalyst through convergence of non-formulaic entrepreneurial innovation. This essay is supposed to be off the beaten path, to be read on the unplanned journey on the road not taken.The content of the essay aspires to inform that tools and data related to the affluent world are not a template to be “copied” or applied to systems in the remaining (80%) parts of the world which may be under economic constraints. We need different thinking that resists the inclination of the affluent 20% of the world to treat the rest of the world (80% of the population) just as a market. The 80/20 distribution evokes the Pareto analogy in this essay. Unsustainable and Misaligned Economics of Technology triggers a Porous Pareto Partition Between the Haves and the Have Nots: Can Democratization of Distributed Data act as a Catalyst for the Dissemination of Digital Dividends? 2020-02-29T21:04:11Z 2020-02-29T21:04:11Z 2020-02-29 Article https://hdl.handle.net/1721.1/123984 en Attribution-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nd/3.0/us/ application/pdf application/pdf application/pdf application/vnd.openxmlformats-officedocument.presentationml.presentation application/zip application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf
spellingShingle Data, Analytics, Artificial Reasoning, Platforms, Sensors, Artificial Intelligence, Economics of Technology, Knowledge Graph, Materials Science, Halicin, Artificial Learning Tools (ART), Machine learning (ML)
Datta, Shoumen
P3 - Porous Pareto Partition
title P3 - Porous Pareto Partition
title_full P3 - Porous Pareto Partition
title_fullStr P3 - Porous Pareto Partition
title_full_unstemmed P3 - Porous Pareto Partition
title_short P3 - Porous Pareto Partition
title_sort p3 porous pareto partition
topic Data, Analytics, Artificial Reasoning, Platforms, Sensors, Artificial Intelligence, Economics of Technology, Knowledge Graph, Materials Science, Halicin, Artificial Learning Tools (ART), Machine learning (ML)
url https://hdl.handle.net/1721.1/123984
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