Unlocking the benefits of transparent and reusable science for climate risk management
Abstract
People around the world seek climate risk information to guide their decisions. For instance, projections about future flood risk inform where households choose to live, how lenders manage credit risks, and which communities receive federal funding. Yet data limitations and fundamental validation challenges raise important concerns about the reliability of such projections. The principles of transparency and reusability help address these concerns by enabling scrutiny of assumptions and methods, development of foundational data and tools, and consistent application of evaluation standards. While there is ongoing debate about how much transparency commercial climate risk services should provide, many expect noncommercial actors to lead the way on operationalizing transparency and reusability to fulfill their knowledge-building role in the climate risk ecosystem. However, despite prominent success stories, we find a substantial gap between principles and practice: Only four percent of the most-cited peer-reviewed climate risk studies in recent years fully share their data and code although this is a widely accepted minimum standard for transparency. We highlight low-cost measures that noncommercial researchers can take now to improve transparency and reusability. We also emphasize that transformative progress requires substantial investment, cross-sector collaboration, and careful consideration of tradeoffs, data rights, and multiple perspectives on equity. We hope this perspective accelerates both immediate actions and longer-term conversations to improve the ability of science to effectively support timely, evidence-based, and sound climate risk management.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (24)
Adam B. Pollack
Thayer School of Engineering, Dartmouth College
Lisa Auermuller
School of Environmental and Biological Sciences, Rutgers University
Casey D. Burleyson
Pacific Northwest National Laboratory
Jentry Campbell
Dartmouth Libraries, Dartmouth College
Madison Condon
Boston University–School of Law
Courtney Cooper
Department of Environmental Science and Studies, Berry College
Matteo Coronese
Institute of Economics and L’EmbeDS, Scuola Superiore Sant’Anna
Sönke Dangendorf
James Doss-Gollin
Department of Civil and Environmental Engineering, Rice University
Prabhat Hegde
Thayer School of Engineering, Dartmouth College
Casey Helgeson
Earth and Environmental Systems Institute, Penn State University
Robert E. Kopp
Jan Kwakkel
Multi Actor Systems Department, Faculty of Technology, Policy and Management, Delft University of Technology
Corey Lesk
Department of Geography, Dartmouth College
Justin Mankin
Department of Geography, Dartmouth College
Robert E. Nicholas
Earth and Environmental Systems Institute, Penn State University
Jennie Rice
Pacific Northwest National Laboratory
Samantha Roth
Thayer School of Engineering, Dartmouth College
Vivek Srikrishnan
Department of Biological and Environmental Engineering, Cornell University
Moira Scheeler
Department of Earth and Planetary Sciences and Rutgers Climate & Energy Institute, Rutgers
Nancy Tuana
Department of Philosophy, Penn State University
Chris Vernon
Pacific Northwest National Laboratory
Mengqi Zhao
Pacific Northwest National Laboratory
Klaus Keller
Thayer School of Engineering, Dartmouth College