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 Mapping-based Universal Kriging Model for Order-of addition Problems in Drug Combination Studies

Computational Statistics & Data Analysis (2021)

Xiao Qian and Xu Hongquan

Inference for partially observed epidemic dynamics guided by Kalman filtering techniques

Working Paper (2020)

Delattre Maud, Larédo Catherine, and Vergu Elisabeta

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

Detection of Weak Doppler Microembolic Signature using Two-Dimensional-Adaptive Time-Frequency Threshold from Spectrogram

Biomedical Signal Processing and Control (2020)

Ménigot Sébastien, Geryes Maroun, and Girault Jean-Marc

An overview of nearly a half century of microembolic signal processing techniques

Working Paper (2019)

Girault Jean-Marc, Geryes Maroun, Charara Jamal, and Ménigot Sébastien

Estimating Robot Strengths with Application to Selection of Alliance Members in FIRST Robotics Competitions

Working Paper (2020)

Lim Alejandro, Chiang Chin-Tsang, and Teng Jen-Chieh

Learning your own ability

Journal of Economic Dynamics and Control (2020)

Madeira Carlos

Is Gibrat's "Economic Inequality" Lognormal?

Empirical Economics (2019)

Akhundjanov Sherzod and Toda Alexis Akira

Data‑based Automatic Discretization of Nonparametric Distributions

Computational Economics (2020)

Toda Alexis Akira