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

Normal forms and invariant manifolds for nonlinear, non-autonomous PDEs, viewed as ODEs in infinite dimensions

Working Paper (2019)

Hochs Peter and Roberts A.J.

Federal Reserve Private Information and the Stock Market

Journal of Banking and Finance (2019)

Lakdawala Aeimit and Schaffer Matthew

New integer-order approximations of discrete-time non-commensurate fractional-order systems using the cross Gramian

Advances in Computational Mathematics (2019)

Rydel Marek

Exit expectations and debt crises in currency unions

Working Paper (2019)

Müller Gernot, Kriwoluzky Alexander, and Wolf Martin

On Empirical System Gramians

Working Paper (2019)

Grundel Sara, Himpe Christian, and Saak Jens

Too Much of a Good Thing?

International Journal of Research in Marketing (2019)

Gaustad Tarje, M. Bendik, Warlop Luk, and Fitzsimons Gavan J.

Evaluating marketplace synergies of ingredient brand alliances

International Journal of Research in Marketing (2018)

Bowman Douglas

Data on air pollutants and greenery in the city of Yerevan, Armenia

Data in Brief (2019)

Akopov Andranik, Beklaryan Levon, and Beklaryan Gayane

Smart Systemic-Risk Scores

Working Paper (2018)

Benoit Sylvain