Empirical: A scientific software library for research, education, and public engagement

C++ Less Submitted 14 December 2023Published 02 June 2024
Review

Editor: @mahfuz05062 (all papers)
Reviewers: @LTLA (all reviews), @bramvandijk88 (all reviews)

Authors

Anya Vostinar (0000-0001-7216-5283), Alexander Lalejini (0000-0003-0994-2718), Charles Ofria (0000-0003-2924-1732), Emily Dolson (0000-0001-8616-4898), Matthew Andres Moreno (0000-0003-4726-4479)

Citation

Vostinar et al., (2024). Empirical: A scientific software library for research, education, and public engagement. Journal of Open Source Software, 9(98), 6617, https://doi.org/10.21105/joss.06617

@article{Vostinar2024, doi = {10.21105/joss.06617}, url = {https://doi.org/10.21105/joss.06617}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {98}, pages = {6617}, author = {Anya Vostinar and Alexander Lalejini and Charles Ofria and Emily Dolson and Matthew Andres Moreno}, title = {Empirical: A scientific software library for research, education, and public engagement}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Simulation Agent-based modeling Emscripten

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066