<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T05:20:28Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/83787" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/83787</identifier><datestamp>2026-06-06T01:05:04Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Patrick Hale.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Chowdhury, Anando A</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Engineering Systems Division.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2014-01-09T19:55:05Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/83787</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2012.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis. Pages 198 and 199 are blank. Vita.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 183-194).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">It is possible to categorize four contemporary challenges as the greatest threats to global well-being and the persistence of humankind. These challenges are global climate and ecological change, poor human health management, violence (or the absence of peace), and poverty and hunger. If our children, grandchildren and great-grandchildren are to survive in a peaceful world where fruitful progress can occur, these contemporary global challenges must be addressed thoughtfully and collectively as a human species. It is the contention of this paper that there exists an optimal and necessary set of requirements and conditions (at a global and organizational level) that give us the greatest probability of success in tackling these most urgent human challenges. The goal of this thesis is to prove this hypothesis and that these conditions can be explained by causal models as well as empirically tested through historical application and validation and direct application on a real world situation. A simple model for assessment of potential success for addressing the most challenging human endeavors is delivered. Sub-goals include presenting an analysis of the current global approaches to solving the major human challenges and how they can be improved.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Anando A. Chowdhury.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Engineering and Management</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">199 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering Systems Division.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">A study of the necessary and optimal conditions for success in the most challenging human endeavors : modem day Manhattan Projects are needed for overcoming contemporary global challenges</dim:field>
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   	&lt;Title>A study of the necessary and optimal conditions for success in the most challenging human endeavors : modem day Manhattan Projects are needed for overcoming contemporary global challenges&lt;/Title>
   	&lt;Subtitle>Modem day Manhattan Projects are needed for overcoming contemporary global challenges&lt;/Subtitle>
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   	&lt;Abstract>It is possible to categorize four contemporary challenges as the greatest threats to global well-being and the persistence of humankind. These challenges are global climate and ecological change, poor human health management, violence (or the absence of peace), and poverty and hunger. If our children, grandchildren and great-grandchildren are to survive in a peaceful world where fruitful progress can occur, these contemporary global challenges must be addressed thoughtfully and collectively as a human species. It is the contention of this paper that there exists an optimal and necessary set of requirements and conditions (at a global and organizational level) that give us the greatest probability of success in tackling these most urgent human challenges. The goal of this thesis is to prove this hypothesis and that these conditions can be explained by causal models as well as empirically tested through historical application and validation and direct application on a real world situation. A simple model for assessment of potential success for addressing the most challenging human endeavors is delivered. Sub-goals include presenting an analysis of the current global approaches to solving the major human challenges and how they can be improved.&lt;/Abstract>
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