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Modern Challenges and Interdisciplinary Interactions via Mathematical, Statistical, and Computational Models

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Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science

Part of the book series: Fields Institute Communications ((FIC,volume 79))

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Abstract

We live in an incredible age. Due to extraordinary advances in sciences and engineering, we better understand the world around us. At the same time, we witness profound changes in the technology, environment, societal organization, and economic well-being. We face new challenges never experienced by humans before. To efficiently address these challenges, the role of interdisciplinary interactions will continue to increase, as well as the role of mathematical, statistical, and computational models, providing a central link for such interactions.

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Author information

Authors and Affiliations

  1. Department of Mathematics and MS2Discovery Interdisciplinary Research Institute, Wilfrid Laurier University, Waterloo, ON, Canada, N2L 3C5

    Roderick Melnik & Roman Makarov

  2. Departement de Mathematiques, Universite de Montreal, Montreal, QC, Canada, H3C 3J7

    Jacques Belair

Authors
  1. Roderick Melnik
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  2. Roman Makarov
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  3. Jacques Belair
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Corresponding author

Correspondence to Roderick Melnik .

Editor information

Editors and Affiliations

  1. Department of Mathematics and MS2Discovery Interdisciplinary Research Institute, Wilfrid Laurier University, Waterloo, Ontario, Canada

    Roderick Melnik

  2. Department of Mathematics and MS2Discovery Interdisciplinary Research Institute, Wilfrid Laurier University, Waterloo, Ontario, Canada

    Roman Makarov

  3. Departement de Mathematiques, Universite de Montreal, Montreal, Québec, Canada

    Jacques Belair

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Melnik, R., Makarov, R., Belair, J. (2017). Modern Challenges and Interdisciplinary Interactions via Mathematical, Statistical, and Computational Models. In: Melnik, R., Makarov, R., Belair, J. (eds) Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science. Fields Institute Communications, vol 79. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6969-2_1

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