Code Contribution for Women in Network Science
To develop tools, training materials, and mentorship opportunities to help women and nonbinary people in network science to use and contribute code to the igraph open source network analysis library.
Project Lead: Brooke Foucault Welles (Northeastern University)
DeepGaitLab: Reconciling Vision-Based Motion Tracking with ISB Standards
To interface recently developed computer vision tools with an open-source biomechanical modeling software, which should facilitate the uptake of markerless motion tracking in biomedicine.
Project Lead: Eni Halilaj (Carnegie Mellon University)
DeepLabCut AI Residents for Next-Gen Animal Behavior
To develop a DeepLabCut AI Residency Program for underrepresented groups in machine learning and computer science in order to recruit, fund, and nurture the next generation of open source leaders.
Project Lead: Mackenzie Mathis & Alexander Mathis (École Polytechnique Fédérale de Lausanne (EPFL))
Engaging Native American Students in Scientific Computing with QIIME 2
To use QIIME 2 as an on-ramp to scientific computing for Native American students by engaging locally with schools primarily serving Native Americans, while expanding the global QIIME2 user, developer, and educator communities.
Project Lead: Greg Caporaso (Northern Arizona University)
Enhancing Diversity in Computational Mass Spectrometry
To increase diversity in computational mass spectrometry through teaching and mentoring with the open-source framework OpenMS.
Project Lead: Hannes Rost (University of Toronto)
Enhancing the Open Health Imaging Foundation Web Medical Imaging Framework
To develop training materials, perform software maintenance, expand outreach, and provide community support for the Open Health Imaging Foundation (OHIF) web-based medical imaging framework including its underlying libraries (e.g., Cornerstone).
Project Lead: Gordon Harris (Massachusetts General Hospital)
Enhancing the Open Source SciML Stack for Clinical Trial Simulations
To make significant improvements to the SciML project, which is leveraged by pharmacologists in academia and industry for simulation of virtual clinical trials, drug design, and systems biology modeling.
Project Lead: Samuel Isaacson (Boston University, NumFOCUS)
Enhancing Usability of mixtools and tolerance for the Biomedical Community
To provide significant modernization and enhanced usability of the R packages mixtools and tolerance for improved utilization and accessibility within the biomedical and health research communities.
Project Lead: Derek Young (University of Kentucky Research Foundation)
Ensuring Reproducible Transcriptomic Analysis with DESeq2 and tximeta
To extend DESeq2 functions to develop interfaces with Bioconductor’s rich experiment and annotation data, including single-cell datasets and genomic annotations, all leveraging tximeta’s metadata functionality for computational reproducibility.
Project Lead: Michael Love (The University of North Carolina at Chapel Hill)