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Sharing data and code facilitates reproducible and impactful research
Jack W. Baker*, Helen Crowley, David Wald, Ellen Rathje, Siu Kui Au, Brendon A. Bradley, Henry Burton, Ashly Cabas, Serena Cattari, Carlo Cauzzi, Francesco Cavalieri, Santina Contreras, Rodrigo Costa, Ronald T. Eguchi, David Lallemant, Dimitrios G. Lignos, Brett W. Maurer, Carlos Molina Hutt, Anastasios Sextos, Emel Seyhan
*Corresponding author for this work
- Stanford University
- Global Earthquake Model Foundation
- United States Geological Survey
- University of Texas at Austin
- Nanyang Technological University
- University of Canterbury
- University of California at Los Angeles
- North Carolina State University
- University of Genoa
- Swiss Federal Institute of Technology Zurich
- EUCENTRE Foundation
- University of Southern California
- University of Waterloo
- ImageCat Inc.
- Swiss Federal Institute of Technology Lausanne
- University of Washington
- University of British Columbia
- University of Bristol
- National Technical University of Athens
- Moody’s RMS
- University of Aveiro
- Middle East Technical University
Research output: Contribution to journal › Article › peer-review