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Innovations in Collaborative Modeling

Laura Schmitt-Olabisi

4.9/5 (28742 ratings)

Description:Collaborative applications of a variety of modeling methodologies have multiplied in recent decades due to widespread recognition of the power of models to integrate information from multiple sources, test assumptions about policy and management choices, and forecast the future states of complex systems. However, information about these modeling efforts often is segregated by both discipline and modeling approach, preventing modelers from learning from one another. This volume addresses the need for cross-disciplinary and cross-methodological communication about collaborative modeling. To enhance a shared understanding of systems problems, scientists and stakeholders need strategies for integrating information from their respective fields, dealing with issues of scale and focus, and rigorously investigating assumptions. The chapters in this volume first explore modeling methodologies for enhanced collaboration, then offer case studies of collaborative modeling across different complex systems problems. The volume will be useful for experienced and beginning modelers as well as scientists and stakeholders who work with modelers.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Innovations in Collaborative Modeling. To get started finding Innovations in Collaborative Modeling, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 559

Format: PDF, EPUB & Kindle Edition

Publisher: MSU Press

Release: 2020

ISBN: cLLcDwAAQBAJ

Description: Collaborative applications of a variety of modeling methodologies have multiplied in recent decades due to widespread recognition of the power of models to integrate information from multiple sources, test assumptions about policy and management choices, and forecast the future states of complex systems. However, information about these modeling efforts often is segregated by both discipline and modeling approach, preventing modelers from learning from one another. This volume addresses the need for cross-disciplinary and cross-methodological communication about collaborative modeling. To enhance a shared understanding of systems problems, scientists and stakeholders need strategies for integrating information from their respective fields, dealing with issues of scale and focus, and rigorously investigating assumptions. The chapters in this volume first explore modeling methodologies for enhanced collaboration, then offer case studies of collaborative modeling across different complex systems problems. The volume will be useful for experienced and beginning modelers as well as scientists and stakeholders who work with modelers.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Innovations in Collaborative Modeling. To get started finding Innovations in Collaborative Modeling, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Innovations in Collaborative Modeling

Innovations in Collaborative Modeling

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