AGU 2020 - December 7th

Convergence Research in Climate Science: How to Move Beyond Disciplinary Silos

The Early Career Faculty Innovator Program is hosting two (2) Sessions at AGU 2020 on December 7th, 2020:

Session SY001 (Oral Session, Dec. 7th at 4am PT) will feature 8 oral presenters and have a lively panel discussion centered around best practices of convergence research, barriers to success, and how to be more inclusive when initiating convergence research.

Session SY004 (Poster Session, Dec. 7th, 4am-9pm PT) will feature 8 posters presenters.  There will be opportunities for engagement and deeper discussions on featured research. We will host a Poster Summary Session on Dec. 7 from 12-1pm PT as an opportunity to interact with poster presenters in a "live poster walk through".

ABSTRACT

Convergence research relies on interdisciplinary research teams to solve complex problems focused on societal needs. Synthesizing knowledge, methods, and expertise from different disciplines and forming novel research endeavors with the goal of new scientific discovery is vital to solving wicked problems. Climate science is no different. Increasingly, there have been calls to create interdisciplinary teams to make climate science more convergent.

To achieve integration across disciplinary boundaries, research teams often face common research challenges and barriers some of which can be overcome by development of effective communication strategies, adoption of common frameworks, and even the introduction of a new scientific language to solve large social and environmental problems.

 

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FEATURED POSTERS

Michala GarrisonMap Storytelling to Improve Climate Change Communication 

Caitlin Grady - Globally Mapped Adaptations across Water, Food, and Energy Systems: Interlinkages, Synergies, and Consequences

Brit Myers - Establishing Support for New Convergence Research Communities

Deana D Pennington - Learning to Converge Across Disciplines

Brian Andrew Reed - Climate for Data Scientists: Leveraging Artificial Intelligence and Machine Learning Expertise to Provide Decision Support Tools in a Changing Climate