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

Backtesting Expected Shortfall via Multi-Quantile Regression

Working Paper (2018)

Couperier Ophélie and Leymarie Jérémy

Selection of weightages for causative factors used in preparation of landslide susceptibility zonation (LSZ)

Geomatics, Natural Hazards and Risk (2018)

Gupta Sharad Kumar, Shuka Dericks P., and Thakur Manoj

Cross-Gramian-Based Dominant Subspaces

Working Paper (2018)

Benner Peter and Himpe Christian

Wealth Distribution with Random Discount Factors

Journal of Monetary Economics (2018)

Toda Alexis Akira

Targeting Online Display Ads: Choosing Their Frequency and Spacing

International Journal of Research in Marketing (2018)

Försch Steffen and de Haan Evert

Financial distress, refinancing, and debt structure

Journal of Banking and Finance (2018)

Yin Qie and Dudley Evan

On the Monetary Impact of Fashion Design Piracy

International Journal of Research in Marketing (2018)

Appel Gil, Libai Barak, and Muller Eitan

Quantifying the risk of heat waves using extreme value theory and spatio-temporal functional data

Computational Statistics and Data Analysis (2018)

French Joshua

Simultaneous estimation of quantile regression functions using B-splines and total variation penalty

Computational Statistics and Data Analysis (2017)

Jhong Jae-Hwan and Koo Ja-Yong