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

Dataset for agent-based model of interactions between air pollutants and greenery using a case study of Yerevan, Armenia

Data in Brief (2019)

Akopov Andranik, Beklaryan Levon, and Saghatelyan Armen

Smart Systemic-Risk Scores

Working Paper (2018)

Benoit Sylvain

The lateral growth and coalesence of magma systems

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A (2019)

Biggs Juliet and Annen Catherine

Shaping Consumer Preference Using Alignable Attributes: The Roles of Regulatory Orientation and Construal Level

International Journal of Research in Marketing (2018)

Sun Jin, Keh Hean Tat, and Lee Angela Y.

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