Run My Code

RunMyCode enables scientists

to openly share the code and data that underlie their research publications

This service is based on the innovative concept of a companion
website associated with a scientific publication.

Users

Users can access the code and data used by researchers.
Researchers

Researchers can share the code and data used in a scientific paper. This increases transparency and reproducibility.
Journals

Journals' editors can invite the authors who publish in their journals to share their code and data on RunMyCode.

Companion websites

A clustering approach and a rule of thumb for risk aggregation

Working Paper (2018)

Di Lascio F. Marta L., Giammusso Davide, and Puccetti Giovanni

Observing change in glacier flow from space

Frontiers for Young Minds (2018)

Altena Bas and Kääb Andreas

Simulating the roles of crevasse routing of surface water and basal friction on the surge evolution of Basin 3, Austfonna ice-cap

The Cryosphere (2018)

Gong Yongmei, Zwinger Thomas, Åström Jan, Altena Bas, Schellenberger Thomas, Gladstone Rupert, and Moore John

Instructional Manipulation Checks: A longitudinal analysis with implications for MTurk

International Journal of Research in Marketing (2018)

Paas Leonard, Dolnicar Sara, and Karlsson Logi

Mode jumping MCMC for Bayesian variable selection in GLMM

Computational Statistics and Data Analysis (2018)

Storvik Geir and Hubin Aliaksandr

Endogeneity in survey research

International Journal of Research in Marketing (2018)

Sande Jon Bingen and Ghosh Mrinal

Multinomial VaR Backtests: A simple implicit approach to backtesting expected shortfall

Journal of Banking and Finance (2018)

Kratz Marie, Lok Yen H., and McNeil Alexander J.

A panel stationarity test with gradual structural shifts: Re-investigate the international commodity price

Economic Modelling (2017)

Nazlioglu Saban

A semi-analytical solution for the transport of solutes with straight-chain and branching reactions

Working Paper (2018)

Wang Xiaomin and Neville Christopher