2020
DOI: 10.2172/1665761
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ASCR@40: Four Decades of Department of Energy Leadership in Advanced Scientific Computing Research

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“…There are however methodological, data availability, and computational gaps that are at present limiting the MSD community's ability to confront the complexity of human‐Earth systems and their feedbacks. There is a need for: (a) better integration with complexity science (Haimes, 2018; Meerow & Newell, 2015; Montuori, 2013), (b) improved modes of analysis for capturing uncertainties in how human systems shape dynamics (Axelrod, 2006; Filatova et al., 2016; Moallemi & de Haan, 2019; Polhill et al., 2016; Trutnevyte et al., 2019; Zellner, 2008), (c) computational advances that enhance representations of highly nonlinear and uncertain “state‐action” feedbacks (Bertsekas, 2019; Herman et al., 2020; Oikonomou et al., 2021; Powell, 2019), and (d) solutions to overcome computational scaling and scientific inference barriers to MSD research insights (Bergman et al., 2019; Hendrickson, 2020; McGovern & Allen, 2021; National Academies of Sciences & Medicine, 2016). Addressing these gaps will require deeper collaborations with the statistical, mathematical, and computational sciences.…”
Section: Msd Research Gaps and Aspirationsmentioning
confidence: 99%
“…There are however methodological, data availability, and computational gaps that are at present limiting the MSD community's ability to confront the complexity of human‐Earth systems and their feedbacks. There is a need for: (a) better integration with complexity science (Haimes, 2018; Meerow & Newell, 2015; Montuori, 2013), (b) improved modes of analysis for capturing uncertainties in how human systems shape dynamics (Axelrod, 2006; Filatova et al., 2016; Moallemi & de Haan, 2019; Polhill et al., 2016; Trutnevyte et al., 2019; Zellner, 2008), (c) computational advances that enhance representations of highly nonlinear and uncertain “state‐action” feedbacks (Bertsekas, 2019; Herman et al., 2020; Oikonomou et al., 2021; Powell, 2019), and (d) solutions to overcome computational scaling and scientific inference barriers to MSD research insights (Bergman et al., 2019; Hendrickson, 2020; McGovern & Allen, 2021; National Academies of Sciences & Medicine, 2016). Addressing these gaps will require deeper collaborations with the statistical, mathematical, and computational sciences.…”
Section: Msd Research Gaps and Aspirationsmentioning
confidence: 99%