amanda casari
Amanda Casari is a researcher and engineer in the Google Open Source Programs Office co-leading research and open data projects to better understand risk and resilience in open source ecosystems. For over 18 years, she has worked in a breadth of cross-functional roles and engineering disciplines, including developer relations, data science, complexity science, and robotics. Amanda co-authored an O'Reilly book, Feature Engineering for Machine Learning Principles and Techniques for Data Scientists. She was named an External Faculty member of the Vermont Complex Systems Center in 2021. She is persistently fascinated by the difference between the systems we aim to create and the ones that emerge, and pie.
Research Areas
Authored Publications
Sort By
Google
The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories
James P. Bagrow
Jean-Gabriel Young
Laurent Hébert-Dufresne
Melanie Warrick
Samuel F. Rosenblatt
MSR '22: Proceedings of the 19th International Conference on Mining Software Repositories, Association for Computing Machinery, New York, NY, United States (2022)
Which contributions count? Analysis of attribution in open source
James P. Bagrow
Jean-Gabriel Young
Laurent Hébert-Dufresne
Milo Z. Trujillo
2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), IEEE (2021), pp. 242-253
Open Source Ecosystems Need Equitable Credit Across Contributions
James P. Bagrow
Jean-Gabriel Young
Laurent Hébert-Dufresne
Milo Z. Trujillo
Nature Computational Science, 1 (2021)
