SummerofReproducibility23

As part of the Reproducible Analysis & Models for Predicting Genomics Workflow Execution Time my proposal under the mentorship of In Kee Kim, Martin Putra and collaborator Charis Christopher Hulu (another OSRE fellow) aims to analyze large-scale sequencing datasets in order to gain insights on how ‘input quality’ affects genomic workflows’ execution times.

Hi! I’m Zahra, an undergraduate at Universitas Dian Nuswantoro, Indonesia. As part of the ScaleBugs my proposal under the mentorship of Cindy Rubio González and Haryadi S. Gunawi aims to build a dataset of reproducible scalability bugs.

I am Jonathan Edwin, coming from Indonesia, and I am extremely thrilled to be involved in the 2023 Summer of Reproducibility initiative. I am actively contributing to the project by making valuable contributions to the Using Reproducibility in Machine Learning Education project.

As part of the ScaleBugs my proposal under the mentorship of Cindy Rubio González and Haryadi S. Gunawi aims to build a dataset of reproducible scalability bugs by analyzing bug reports from popular distributed systems like Cassandra, HDFS, Ignite, and Kafka.

Hey, I am Shekhar and I am one of several students who are working on the project Using Reproducibility in Machine Learning Education under the mentorship of Fraida Fund. My Proposal aims to develop interactive educational materials about reproducibility in machine learning, for use in graduate and undergraduate classes.

As part of the Teaching Computer Networks with Reproducible Research project my proposal under the mentorship of Fraida Fund aims to develop a classroom competition for adaptive video delivery policies, leveraging an existing open-source reproducible result.