osre24

Hello everyone! I’m Shaivi Malik, a computer science and engineering student. I am thrilled to announce that I have been selected as a Summer of Reproducibility Fellow. I will be contributing to the Data leakage in applied ML: reproducing examples of irreproducibility project under the mentorship of Fraida Fund and Mohamed Saeed.

Hello, I’m Peiran Qin, a first-year Pre-Doctoral student in Computer Science at the University of Chicago. In this summer I will focus working on the project FetchPipe: Data Science Pipeline for ML-based Prefetching under the mentorship of Prof.

As part of the Polyphy project’s team, I am developing a customized CMS to enhance data management and social presence. This blog covers the initial steps and progress made so far.

As part of the Causeway team, my proposal under the mentorship of Professor David Lee aims to enhance web development education through situated learning. Causeway addresses shortcomings in current online coding tutorials by offering a comprehensive approach to web development using an Angular, RxJS, NgRx, and Firebase stack.

Hello! My name is Ayush and this summer I’ll be contributing to Polyphy and Polyglot, a GPU oriented agent-based system for reconstructing and visualizing optimal transport networks defined over sparse data.

This post explores the author’s journey from replicating supercomputing experiments to developing accessible research tools with Jupyter Notebooks. It highlights how these experiences shaped her Summer of Reproducibility project proposal that focuses on the computational reproducibility of Jupyter Notebooks used in scientific contexts.

Hello everyone, I’m Klaus Kraßnitzer and am currently finishing up my Master’s degree at the Technical University of Vienna. This summer, under the guidance of Sascha Hunold, I’m excited to dive into a project that aims to enhance reproducibility in high-performance computing research.

Hello! My name is Arya Sarkar and I will be contributing to the research project titled Reproducibility in Data Visualization, with a focus on investigating and coming up with novel solutions to capture both static and dynamic visualizations from different sources.

develop a system that explains programming errors, from syntax to logical issues, using AI and custom drivers for consistent feedback. Key deliverables include an AI benchmark suite for education and personalized AI assistance for programming learners

Hello, I am Kyrillos Ishak I am happy to be part of SOR 2024, I am working on Data leakage in applied ML: reproducing examples of irreproducibility project. My proposal was accepted.