Sustaining Parsl: Enabling Extreme-Scale Biomedicine
To enable the biomedical community to more easily use large-scale computing to efficiently run complex workflows via Parsl.
Project Lead: Kyle Chard (University of Chicago)
Transparent, Open & Sustainable Infrastructure for conda-forge and bioconda
To improve conda-forge and bioconda’s sustainability and transparency by adopting vendor-agnostic and secure infrastructure practices and develop comprehensive maintenance metrics and dashboards.
Project Lead: Jaime Rodríguez-Guerra (Quansight)
Web-Based Analysis and Collaboration Tool, seqr, for Rare Disease Genomics
To maintain and enhance seqr, a high quality rare disease genomic analysis platform, for usage across the global scientific community, enabling collaboration for rare disease diagnosis and gene discovery.
Project Lead: Heidi Rehm (Massachusetts General Hospital and Broad Institute of MIT and Harvard)
3D Slicer in My Language: Internationalization and Usability Improvements
To increase the accessibility of the 3D Slicer open source platform for biomedical research to clinicians and scientists in non-English speaking countries.
Project Lead: Sonia Pujol (Brigham and Women’s Hospital, Harvard Medical School)
Adapting limma and edgeR for Single-cell and Proteomics
To address new challenges posed by replicated single-cell RNA-seq data and by mass spectrometry proteomics.
Project Lead: Gordon Smyth (Walter & Eliza Hall Institute of Medical Research)
Advancing an Inclusive Culture in the Scientific Python Ecosystem
To support the onboarding, inclusion, and retention of people from historically marginalized groups on scientific Python projects and structurally improve the community dynamics of NumPy, SciPy, Matplotlib, and pandas.
Project Lead: Melissa Mendonça (Quansight, NumFOCUS)
Apache Arrow Apprenticeship Program for OSS Maintenance and Community
To support the growth, sustainability, and diversity of the Apache Arrow project by expanding an apprenticeship program, which recruits developers from underrepresented groups and trains them to be open source software maintainers.
Project Lead: Wes McKinney (Ursa Labs)
Automated Optimal Model Calibration for the OpenSim Biomechanics Simulator
To develop an automated tool that uses optimization to calibrate models of the musculoskeletal system and improve simulation results, and disseminate the tool to the OpenSim community with documentation, examples, case studies, and outreach events.
Project Lead: Thomas Uchida (University of Ottawa)
Building Pediatric and Clinical Data Pipelines for MNE-Python
To enhance MNE-Python for clinical neuroscience uses by improving spectral and spectro-temporal data handling, and by providing standardized preprocessing pipelines for data.
Project Lead: Daniel McCloy (University of Washington)