ESD.864 / ESD.936 Systems Modeling and Assessment for Policy, Spring 2010

This course explores how scientific information can be used to inform policy decision-making processes through the use of quantitative modeling techniques. It incorporates both hands-on analysis and practice using models as well as evaluation of the use and effectiveness of models in decision-making...

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Main Author: Selin, Noelle
Language:en-US
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/68165
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author Selin, Noelle
author_facet Selin, Noelle
author_sort Selin, Noelle
collection MIT
description This course explores how scientific information can be used to inform policy decision-making processes through the use of quantitative modeling techniques. It incorporates both hands-on analysis and practice using models as well as evaluation of the use and effectiveness of models in decision-making. The course assesses the full spectrum of model complexity from simple box model calculations to complex, global systems models. Issues addressed include scientific assessment processes; integrated assessment modeling; model frameworks; and scenarios. Examples focus on models and information used for earth system governance, with selected examples from other areas of application.
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spelling mit-1721.1/681652019-09-12T11:44:39Z ESD.864 / ESD.936 Systems Modeling and Assessment for Policy, Spring 2010 Systems Modeling and Assessment for Policy Selin, Noelle scientific assessment process integrated assessment modeling model frameworks systems modeling policy-analysis techniques climate change This course explores how scientific information can be used to inform policy decision-making processes through the use of quantitative modeling techniques. It incorporates both hands-on analysis and practice using models as well as evaluation of the use and effectiveness of models in decision-making. The course assesses the full spectrum of model complexity from simple box model calculations to complex, global systems models. Issues addressed include scientific assessment processes; integrated assessment modeling; model frameworks; and scenarios. Examples focus on models and information used for earth system governance, with selected examples from other areas of application. 2010-06 ESD.864-Spring2010 local: ESD.864 local: ESD.936 local: IMSCP-MD5-fe36dcfd7bee815dab447873dc719e4b http://hdl.handle.net/1721.1/68165 en-US Usage Restrictions: This site (c) Massachusetts Institute of Technology 2011. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. text/html Spring 2010
spellingShingle scientific assessment process
integrated assessment modeling
model frameworks
systems modeling
policy-analysis techniques
climate change
Selin, Noelle
ESD.864 / ESD.936 Systems Modeling and Assessment for Policy, Spring 2010
title ESD.864 / ESD.936 Systems Modeling and Assessment for Policy, Spring 2010
title_full ESD.864 / ESD.936 Systems Modeling and Assessment for Policy, Spring 2010
title_fullStr ESD.864 / ESD.936 Systems Modeling and Assessment for Policy, Spring 2010
title_full_unstemmed ESD.864 / ESD.936 Systems Modeling and Assessment for Policy, Spring 2010
title_short ESD.864 / ESD.936 Systems Modeling and Assessment for Policy, Spring 2010
title_sort esd 864 esd 936 systems modeling and assessment for policy spring 2010
topic scientific assessment process
integrated assessment modeling
model frameworks
systems modeling
policy-analysis techniques
climate change
url http://hdl.handle.net/1721.1/68165
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