BIDS researchers receive CZI funding to revitalize NetworkX

May 27, 2020

BIDS researchers have received funding from the Chan Zuckerberg Initiative (CZI) for their work on the open source research software platform NetworkX, which serves as the fundamental network analysis tool for creating and manipulating graphs and networks in Python.

CZI recently announced $3.8 million in funding for 23 grants as part of their Essential Open Source Software for Science program, and this new series of grants will focus on supporting projects that accelerate biomedical research and serve the larger scientific community.

To meet the needs of the scientific community over the next decade, the BIDS team will revitalize NetworkX by growing its developer community, refactoring code, improving performance, and making a major release.  BIDS Senior Research Data Scientist Stéfan van der Walt will lead the BIDS team. Former BIDS Data Science Fellow Jarrod Millman, a PhD student in biostatistics at UC Berkeley, and Colgate University mathematics professor Dan Schult, are also on the team.

Open source software, which is crucial to modern scientific research, is currently advancing the field of human health by enabling scientific reproducibility and transparency across a variety of domain research areas.  By providing a dedicated source of funding for these projects, CZI hopes that grant awardees will be able to convene more robust communities, improve documentation, address usability, improve compatibility, onboard more contributors, and more.

NetworkX banner

Read More …

Chan Zuckerberg Initiative Awards $3.8 Million for Open Source Software Projects Essential to Science
May 27, 2020  |  Chan Zuckerberg Initiative

Enabling Foundational Tools for Scientific Discovery: 23 New Grants Support Essential Open Source Tools in Biomedicine
May 27, 2020  |  Chan Zuckerberg Science Initiative  |  Medium.com Science



Featured Fellows

Stéfan van der Walt

Senior Research Data Scientist

Jarrod Millman

Biostatistics, UC Berkeley
Alumni - BIDS Data Science Fellow