Outreach and Software Development for the Apollo Genome Annotation Editor
To hire an outreach coordinator and (part of) a software developer for the Apollo genome annotation editor, provide developer- and user-oriented workshops and training, develop a plugin framework, and integrate protein visualizations.
Project Lead: Ian Holmes (University of California, Berkeley)
PsychoPy3: Essential Open Source Software for Neuroscience and Psychology
To create a smoother experience for PsychoPy users by detecting potential problems in user-created experiments before they are launched, and by increasing the test coverage within the application code itself.
Project Lead: Jonathan Peirce (University of Nottingham)
QuPath: Open Source Bioimage Analysis and Quantitative Pathology
To accelerate biomedical research, biomarker discovery, and the translation of artificial intelligence into clinical practice by enhancing the QuPath open source platform and by integrating it with other CZI-funded software.
Project Lead: Peter Bankhead (University of Edinburgh)
Scaling OpenRefine
To attract new contributors by improving OpenRefine’s documentation, and implement a new data model to improve the scalability, transparency, and reproducibility of OpenRefine workflows.
Project Lead: Antonin Delpeuch (Code for Science and Society)
Scanpy 2.0
To expand Scanpy’s core infrastructure and community platforms for stability, versatility, and sharing knowledge.
Project Lead: Fabian Theis (Helmholtz Zentrum Munich)
Scikit-learn Maintenance and Enhancement for Gradient Boosting
To improve the open-source machine learning library scikit-learn and aid in maintaining the project, while considering the new implementation of Gradient boosting.
Project Lead: Andreas Mueller (Columbia University)
Strengthening NumPy’s Foundations: Growing Beyond Code
To grow the maturity of the NumPy project through governance, documentation, and website work by improving the robustness of its links with OpenBLAS, and through diversifying the core team beyond the developer role.
Project Lead: Ralf Gommers (Quansight, NumFOCUS)
The GATK Methods for Bacterial Variant Discovery and Evaluation
To develop GATK methods for variant discovery and evaluation in bacteria, resolve inconsistent and diverse results from different research groups, and allow for the sharing of data and analysis globally to control bacterial transmission and antibiotic resistance.
Project Lead: Bhanu Gandham (Broad Institute of MIT and Harvard)
3D Slicer for African Scientists: Enabling AI for Health
To empower African scientists to develop 3D Slicer AI-based extensions for health priorities and enable their deployment to global communities through customized AI models for multilingual translation. Note: This proposal was funded by Wellcome Trust as part of our co-funded EOSS Cycle 6.
Project Lead: Sonia Pujol (Brigham and Women’s Hospital, Harvard Medical School)