.. _about_us:
About us
========
If you have any questions or comments, please do not hesitate to contact us via filing
an issue on Github, writing an `email`_ to or join our `zulipchat group
`_ or via personal emails.
.. _email: research-codes-respy.9b46528f81292a712fa4855ff362f40f.show-sender@streams.zulipchat.com
.. note::
**respy** is not under development anymore and only inactively maintained since 2021.
Check out our `GitHub organization `_
to find projects that are currently under development.
.. tabs::
.. tab:: Team
The respy development team is currently a group of researchers, doctoral students, and
students at the University of Bonn.
**Project Manager**
`Philipp Eisenhauer `_ (`email
`__)
**Software Design**
- `Janos Gabler `_ (`email
`__)
- `Tobias Raabe `_ (`email
`__)
**Developers**
- `Annica Gehlen `_ (MSM interface)
- `Moritz Mendel `_ (Flexible choice sets, MSM interface)
- `Maximilian Blesch `_ (Exogenous processes)
**Contributors**
- `Sofia Badini `_ (Hyperbolic discounting)
- `Linda Maokomatanda `_ (Robust OLS)
- `Tim Mensinger `_ (Recommended reading)
- `Rafael Suchy `_ (Quasi-Monte Carlo simulation, Explanations)
- `Benedikt Kauf `_ (Explanations)
.. tab:: Acknowledgments
We are grateful to the `Social Science Computing Services `_
at the `University of Chicago `_ who let us use the Acropolis
cluster for scalability and performance testing. We appreciate the financial support of
the `AXA Research Fund `_ and the `University of Bonn
`_.
We gratefully acknowledge funding by the Federal Ministry of Education
and Research (BMBF) and the Ministry of Culture and Science of the
State of North Rhine-Westphalia (MKW) as part of the Excellence
Strategy of the federal and state governments.
We are indebted to the open source community as we build on top of numerous open source
tools such as the `SciPy `_ and `PyData `_
ecosystems. In particular, without **respy**'s interface would not work without `pandas
`_ and it could not rival any program written in Fortran in
terms of speed without `Numba `_.
We use icons by `svgrepo.com `_ in the documentation.
|OSE| |space| |TRA| |space| |UniBonn| |space| |DIW|
.. |OSE| image:: https://raw.githubusercontent.com/OpenSourceEconomics/ose-logos/main/OSE_logo_RGB.svg
:width: 20%
:target: https://open-econ.org
.. |UniBonn| image:: _static/images/UNI_Bonn_Logo_Standard_RZ_RGB.svg
:width: 20 %
:target: https://www.uni-bonn.de
.. |TRA| image:: _static/images/Logo_TRA1.png
:width: 10 %
:target: https://www.uni-bonn.de/research/research-profile/mathematics-modelling-and-simulation-of-complex-systems-1
.. |DIW| image:: _static/images/Logo_DIW_Berlin.svg
:width: 20 %
:target: https://github.com/OpenSourceEconomics/respy/blob/main/docs/_static/funding/Becker_Sebastian_Arbeitsprogramm.pdf
.. |space| raw:: html
.. tab:: Citation
**respy** was completely rewritten in the second release and evolved into a general
framework for the estimation of Eckstein-Keane-Wolpin models. Please cite it with
.. code-block::
@Unpublished{Gabler2020,
Title = {respy - A Framework for the Simulation and Estimation of
Eckstein-Keane-Wolpin Models.},
Author = {Janos Gabler and Tobias Raabe},
Year = {2020},
Url = {https://github.com/OpenSourceEconomics/respy},
}
Before that, **respy** was developed by Philipp Eisenhauer and provided a package for
the simulation and estimation of a prototypical finite-horizon discrete choice dynamic
programming model. At the heart of this release is a Fortran implementation with Python
bindings which uses MPI and OMP to scale up to HPC clusters. It is accompanied by a pure
Python implementation as teaching material. If you use **respy** up to version 1.2.1,
please cite it with
.. code-block::
@Software{Eisenhauer2019,
Title = {respy - A Package for the Simulation and Estimation of a prototypical
finite-horizon Discrete Choice Dynamic Programming Model.},
Author = {Philipp Eisenhauer},
Year = {2019},
DOI = {10.5281/zenodo.3011343},
Url = {https://doi.org/10.5281/zenodo.3011343}
}
We appreciate citations for **respy** because it helps us to find out how people have
been using the package and it motivates further work.