Our 2021 AGU Fall Meeting session "Connecting Cause and Effect in Analyses of Coupled Human and Geophysical Systems" may be of interest to members of this group.
Abstract submissions for the AGU Fall Meeting are due August 4, 2021.
Title: GC029. Connecting Cause and Effect in Analyses of Coupled Human and Geophysical Systems
Description: Distinguishing causal relationships from mere statistical associations in coupled human and geophysical systems is challenging because of system complexity, feedbacks, non-stationarity, missing data, and spatial and temporal scale mismatches in data. Yet, these challenges must be overcome to advance both science and policy. This session showcases advances in the study of coupled human-geophysical systems, with a special focus on the determination of causal linkages. We welcome submissions that include applications of study designs from different disciplines, including econometrics, statistics, and computer science, as well as those representing interdisciplinary approaches from physical, ecological, and social sciences. We would like to particularly encourage submissions leveraging emerging data sources (e.g., remote sensing, social sensing, or citizen science); addressing non-stationarity and feedbacks within causal investigations; or combining social and environmental data to investigate causal relations.
Description: Distinguishing causal relationships from mere statistical associations in coupled human and geophysical systems is challenging because of system complexity, feedbacks, non-stationarity, missing data, and spatial and temporal scale mismatches in data. Yet, these challenges must be overcome to advance both science and policy. This session showcases advances in the study of coupled human-geophysical systems, with a special focus on the determination of causal linkages. We welcome submissions that include applications of study designs from different disciplines, including econometrics, statistics, and computer science, as well as those representing interdisciplinary approaches from physical, ecological, and social sciences. We would like to particularly encourage submissions leveraging emerging data sources (e.g., remote sensing, social sensing, or citizen science); addressing non-stationarity and feedbacks within causal investigations; or combining social and environmental data to investigate causal relations.
Invited Speakers:
Jillian Deines, Stanford University
Jillian Deines, Stanford University
Luke Sanford, Yale University
Conveners:
Morgan C Levy, University of California San Diego
Marc Muller, University of Notre Dame
Megan Konar, University of Illinois at Urbana Champaign
Virtual Participation: virtually or in person (hybrid).
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