Dear Colleagues,
We are organizing a session on "quantifying resilience" at the upcoming AGU conference - we'd like to invite you to submit an abstract to it by July 31st. We plan to have an excellent group of speakers from a wide variety of disciplines. The information about this session is below. Don't hesitate to reach out if you have any questions. Please let us know if you end up submitting to the session or if you plan to, by replying to: jlerner@tamu.edu
We will be convening a special session at the AGU24 conference (https://www.agu.org/annual-meeting ) in Washington D.C. the week of December 9-13th. The session, GC:166 Quantifying Resilience Across the Natural and Engineered Sciences, co-organized by Rusty Feagin, Josh Lerner, Astrid Layton, and Murat Erkoc, aims to feature innovative research that utilizes big data approaches, remote sensing, and long-term ecological and engineering datasets to push discussion about generalities may exist across natural and human-designed systems. We encourage you to consider submitting an abstract or attending the session if you will be at the meeting. Please reach out to the session conveners if you have any questions or to initiate discussion. Abstract submission ends Wednesday, July 31st 2024 at 23:59 EDT. Abstract guidelines are available here: https://www.agu.org/annual-meeting/present#abstracts
Session viewer and abstract submission system is available here: https://agu.confex.com/agu/agu24/prelim.cgi/Home/0
GC: 166 Quantifying Resilience Across the Natural and Engineered Sciences
The notion of "resilience" has been conceptualized in a variety of ways across natural and engineered systems, giving rise to numerous quantitative frameworks, methods, metrics, and statistical analyses. Resilience can be broadly defined as the ability of a system to withstand and recover from perturbation. Individual attempts to quantify resilience have led to discoveries about system dynamics, tipping points, and alternative stable states. Still, there has been little consensus on generating standardized metrics for quantifying and measuring resilience, so comparing results across systems or disciplines has been challenging. The aim of this session is to synthesize theoretical and empirical work across disciplines and explore the potential for unified resilience metrics to facilitate comparisons across a wide diversity of systems. Particular emphasis will be placed on quantifying system resilience in time series, big data, remote sensing, and long-term datasets in natural and engineered system contexts.
Primary Convener: Rusty A Feagin -- feaginr@tamu.edu
Texas A&M University College Station
Ecology and Conservation Biology, and Ocean Engineering
Student/Early Career Convener: Josh Lerner – jlerner@tamu.edu
Texas A&M University College Station
Ecology and Conservation Biology, and Ecology and Evolutionary Biology
Convener: Astrid Layton – alayton@tamu.edu
Texas A&M University College Station
Mechanical Engineering
Convener: Murat Erkoc – merkoc@miami.edu
University of Miami
Industrial and Systems Engineering
------------------------------
Murat Erkoc
Associate Professor
Dept. of Industrial and Systems Engineering
University of Miami FL
Coral Gables FL
------------------------------