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A perspective on the role of uncertainty in sustainability science and engineering

  • U. Diwekar
  • , A. Amekudzi-Kennedy
  • , B. Bakshi
  • , R. Baumgartner
  • , R. Boumans
  • , P. Burger
  • , H. Cabezas
  • , M. Egler
  • , J. Farley
  • , B. Fath
  • , T. Gleason
  • , Y. Huang
  • , A. Karunanithi
  • , V. Khanna
  • , A. Mangan
  • , A. L. Mayer
  • , R. Mukherjee
  • , G. Mullally
  • , V. Rico-Ramirez
  • , D. Shonnard
  • M. Svanström, T. Theis
  • Vishwamitra Research Institute, Illinois
  • Georgia Institute of Technology
  • Ohio State University
  • University of Graz
  • AFORDable Futures LLC
  • University of Basel
  • University of Miskolc
  • University of Vermont
  • Towson University
  • International Institute for Applied Systems Analysis, Laxenburg
  • United States Environmental Protection Agency
  • Wayne State University
  • University of Colorado Denver
  • University of Pittsburgh
  • United States Business Council for Sustainable Development
  • Michigan Technological University
  • The University of Texas Permian Basin
  • Instituto Tecnológico de Celaya
  • Chalmers University of Technology
  • University of Illinois at Chicago

Research output: Contribution to journalShort surveypeer-review

Abstract

The Trans-Atlantic Research and Development Interchange on Sustainability Workshop (TARDIS) is a meeting on scientific topics related to sustainability. The 2019 workshop theme was "On the Role of Uncertainty in Managing the Earth for Global Sustainability." This paper presents the perspectives on this topic derived from talks and discussions at the 2019 TARDIS workshop. There are four kinds of uncertainties encountered in sustainability ranging from clear enough futures to true surprises. The current state-of-the-art in assessing and mitigating these uncertainties is discussed.

Original languageEnglish
Article number105140
JournalResources, Conservation and Recycling
Volume164
DOIs
Publication statusPublished - Jan 2021

Keywords

  • Deep uncertainty
  • Precautionary principle
  • Stochastic
  • Sustainability
  • Time-dependent uncertainty

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