Presentations

Convergence Research in Climate Science

2021 Early Career Faculty Innovator Program PI Symposium (July 27-28, 2021)
Catalyzing Innovation Through Convergence Research

The Innovator Program led a 2-day symposium that explored interdisciplinary research within the Early Career Faculty Innovator Program, with an eye toward convergent research. The workshop featured presentations from Innovator faculty and small group discussions on the challenges of and strategies for doing convergence research. Outcomes from the symposium are currently being drafted and are slated for publication in 2022.

AGU 2020 - DECEMBER 7TH

CONVERGENCE RESEARCH IN CLIMATE SCIENCE: HOW TO MOVE BEYOND DISCIPLINARY SILOS

The Early Career Faculty Innovator Program hosted an oral and a poster session at AGU 2020. Poster presentations are available below.

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.

FEATURED POSTERS

Michala Garrison - Map 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