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Hi, I'm Eva 👋

I am a PhD candidate at the University of Washington Information School. I use novel machine learning, natural language processing, and network analysis techniques to study the development, maintenance, and impact of research software. I am particularly interested in understanding divisions of labor and maintenance-usage imbalance in open source research software ecosystems.

(And sometimes I help with biology, microscopy, and civic tech software development.)

For more details about me, see my website.

Projects in Development:

Outdated but Will Revist Soon:

Old Projects:

Eva Maxfield Brown's Projects

awardfindr icon awardfindr

Scan multiple online grant databases for relevant awards

cdp-data-interactive icon cdp-data-interactive

A Quarto generated and updated version of our paper: 'Councils in Action: Automating the Curation of Municipal Governance Data for Research'

cue-queue icon cue-queue

Transcript segmentation using the average semantic encodings of cue sentences.

insc-571 icon insc-571

Notes, assignments, and more from Quantitative Methods in Information Science

lcd icon lcd

Long tail of Controversial Datasets

opinionated icon opinionated

Opinionated provides simple, clean stylesheets for plotting with matplotlib and seaborn.

papers-without-code icon papers-without-code

A package (and website) to automatically attempt to find the code associated with a paper.

phd icon phd

Docs and resources from planning my PhD application onward

statsbook icon statsbook

JupyterBook for Statistical Analysis and Reporting in Both R and Python

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