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AGU 2024 Special Session V009 - Experiment to Model to Interpretation: Insights into the Impact of Experimental Design on Models and Interpretation of Natural Systems

UG
Ustunisik, Gokce K.
Mon, Jul 22, 2024 9:12 PM

Dear all,

Please consider submitting an abstract to our AGU session V009 - Experiment to Model to Interpretation: Insights into the Impact of Experimental Design on Models and Interpretation of Natural Systems (https://agu.confex.com/agu/agu24/meetingapp.cgi/Session/227782). Our goal is to initiate a community wide discussion of the connections and limitations of the experimental database, the assumptions on which our models are based and challenges of the application of those models to data from complex natural systems. We welcome contributions that link experimental design, model development, and interpretation of analytical and experimental data.

Session Description:
Much of our understanding of complex natural systems is based on the results of high pressure and temperature experiments, models calibrated to a subset of those experiments, and analyses of natural materials. Combining these three types of data strengthens our interpretations of nature, but this multi-faceted approach is challenging because each data type has a distinct source of uncertainty and lack of a shared lexicon. Without a common language or set of assumption, there is the risk of introducing errors/bias in the interpretation of data increases. We propose a session on investigations that link experimental design, model development, and interpretation of analytical data on natural systems. We welcome submissions that provide new insights into how the approaches used in one data realm impact results in any other. We hope to foster conversation between members of these three communities-experimentalists, modelers, and field-based geoscientists-to generate a cohesive understanding of the interconnectedness and limitations of these approaches.

Invited speakers:
Wendy Bohrson, Colorado School of Mines
Mark Ghiorso, OFM Research (pending)

Abstract Deadline: Wednesday, 31 July 2024 23:59 EDT/03:59 +1 GMT.

Session conveners:
Gokce Ustunisik, South Dakota School of Mines & Technology and American Museum Natural History
Madison Myers, Montana State University
Andrea Goltz, Arizona State University

Look forward to receiving your abstracts!
Best,
Gokce

Gokce K. Ustunisik, Ph.D. (she/her/hers)
Associate Professor, Department of Geology and Geological Engineering
501 E. St. Joseph St.x-apple-data-detectors://1/1
South Dakota Schoolx-apple-data-detectors://1/1 of Mines and Technology (SD Mines)
Rapid City, SD 57701x-apple-data-detectors://2/0
Gokce.Ustunisik@sdsmt.edumailto:Gokce.Ustunisik@sdsmt.edu

Research Associate, Department of Earth and Planetary Sciences
Central Park W.79th St.x-apple-data-detectors://3/1
American Museumx-apple-data-detectors://3/1 of Natural History (AMNH)
gustunisik@amnh.orgmailto:gustunisik@amnh.org
Phone: 513-315-6131tel:513-315-6131

"My work hours may be different than yours. Please do not feel obligated to reply outside of your normal work schedule."

Dear all, Please consider submitting an abstract to our AGU session V009 - Experiment to Model to Interpretation: Insights into the Impact of Experimental Design on Models and Interpretation of Natural Systems (https://agu.confex.com/agu/agu24/meetingapp.cgi/Session/227782). Our goal is to initiate a community wide discussion of the connections and limitations of the experimental database, the assumptions on which our models are based and challenges of the application of those models to data from complex natural systems. We welcome contributions that link experimental design, model development, and interpretation of analytical and experimental data. Session Description: Much of our understanding of complex natural systems is based on the results of high pressure and temperature experiments, models calibrated to a subset of those experiments, and analyses of natural materials. Combining these three types of data strengthens our interpretations of nature, but this multi-faceted approach is challenging because each data type has a distinct source of uncertainty and lack of a shared lexicon. Without a common language or set of assumption, there is the risk of introducing errors/bias in the interpretation of data increases. We propose a session on investigations that link experimental design, model development, and interpretation of analytical data on natural systems. We welcome submissions that provide new insights into how the approaches used in one data realm impact results in any other. We hope to foster conversation between members of these three communities-experimentalists, modelers, and field-based geoscientists-to generate a cohesive understanding of the interconnectedness and limitations of these approaches. Invited speakers: Wendy Bohrson, Colorado School of Mines Mark Ghiorso, OFM Research (pending) Abstract Deadline: Wednesday, 31 July 2024 23:59 EDT/03:59 +1 GMT. Session conveners: Gokce Ustunisik, South Dakota School of Mines & Technology and American Museum Natural History Madison Myers, Montana State University Andrea Goltz, Arizona State University Look forward to receiving your abstracts! Best, Gokce Gokce K. Ustunisik, Ph.D. (she/her/hers) Associate Professor, Department of Geology and Geological Engineering 501 E. St. Joseph St.<x-apple-data-detectors://1/1> South Dakota School<x-apple-data-detectors://1/1> of Mines and Technology (SD Mines) Rapid City, SD 57701<x-apple-data-detectors://2/0> Gokce.Ustunisik@sdsmt.edu<mailto:Gokce.Ustunisik@sdsmt.edu> Research Associate, Department of Earth and Planetary Sciences Central Park W.79th St.<x-apple-data-detectors://3/1> American Museum<x-apple-data-detectors://3/1> of Natural History (AMNH) gustunisik@amnh.org<mailto:gustunisik@amnh.org> Phone: 513-315-6131<tel:513-315-6131> "My work hours may be different than yours. Please do not feel obligated to reply outside of your normal work schedule."