Reproducible research
A cascad certification allows researchers to signal the reproducibility nature of their research to their peers.
More information about cascad
Scientific publications
Pérignon C., Akmansoy O., Hurlin C., et al. (2023), Computational Reproducibility in Finance: Evidence from 1,000 Tests, available at SSRN.
Colliard, J-E, Hurlin, C. and Pérignon, C. (2022), The Economics of Research Reproducibility, SSRN, December 2022.
Hurlin, C. and C. Pérignon (2019), Reproducibility Certification in Economics Research, SSRN Working paper, July 2019.
Pérignon, C., K. Gadouche, C. Hurlin, R. Silberman and E. Debonnel (2019), Certifying Reproducibility with Confidential Data, Science 365: 6449, 12 July, 127-128.
Hurlin, C. and Pérignon, C. (2019), Reproducibility Certification in Economics Research, SSRN Working paper, July
Press coverage
Data police force will help clean up research, Times Higher Education, 29 August 2019. Print headline: A badge that gives assurance
Pour une certification de la reproductibilité des études économiques, Les Echos, 5 July 2018.
CASCaD, la certification de la reproductibilité de la recherche scientifique, Ouvrir la Science, 31 July 2019.
Certifying Reproducibility with Confidential Data
The cascad certification can be used even when researchers use confidential data. Such data can only be analyzed by accredited researchers within a secure computing environment. For more detail Science, 12 July 2019.
RunMycode
RunMyCode enables scientists to openly share the code and data that underlie their research publications
main objectives
RunMyCode follows three main objectives:
To allow researchers to quickly disseminate the results of their research. This will considerably increase the potential of citations of scientific papers.
To provide a large community of users with the ability to use the latest scientific methods. This will speed up the process of converting scientific results into productive forces.
To allow members of the academic community (researchers, referees, etc.) to replicate scientific results. This will increase transparency and trust in science.
Scientific publications
Hurlin C., Pérignon C., and Stodden S. (2013), RunMyCode.org: a novel dissemination and collaboration platform for executing published computational results, E-Science (e-Science), 2012 IEEE 8th International Conference on Chicago, IL.
Hurlin C., Pérignon C., and Stodden V. (2013), RunMyCode.org: A Research-Reproducibility Tool for Computational Sciences, in Implementing Reproducible Research, Stodden V., Leisch F. and Peng R. eds, Chapman & Hall/CRC The R Series.
Press coverage
The Architecture of the RunMyCode platform, Astrocompute, December 2012.
How can computational science surpass the software error plateau?, ScienceNode, November 2012.
RunMyCode.org – the answer to open computing?, Dr Climate, November 2012.
Runmycode lets scientists crowdsource code testing, ArsTechnica, March 2012.
Le service RunMyCode, Fredoc, Février 2012.
The RunMyCode Project, Franck Portier's Blog, February 2012.
RunMyCode: La recherche académique en économie et gestion à portée de clic, La lettre de l'INSHS, Janvier 2012
Partnership with Elsevier
Researchers who publish in the following academic journals are invited to share there code and data on RunMyCode.
Journal of Banking and Finance,
Journal of Financial Economics,
Journal of Urban Economics,
Journal of Health Economics,
Journal of Computational Science,
Computational Statistic and Data Analysis,
Journal of Statistical Planning and Inference, Statistical Methodology
International Journal of Research in Marketing.