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README.md

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@@ -8,17 +8,19 @@ Recourse” (Altmeyer et al. 2023).
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Below is a list of relevant resources hosted in this repository:
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1. [Paper](paper/paper.pdf) in this repo
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2. [Paper](https://openreview.net/pdf?id=-LFT2YicI9v) on OpenReview
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1. [Paper](https://arxiv.org/pdf/2308.08187) on arxiv (up-to-date).
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2. Official
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[publication](https://ieeexplore.ieee.org/abstract/document/10136130)
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on IEEE.
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3. [Online
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Companion](https://www.paltmeyer.com/endogenous-macrodynamics-in-algorithmic-recourse/)
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Companion](https://www.patalt.org/endogenous-macrodynamics-in-algorithmic-recourse/)
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4. [IEEE SaTML Presentation
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Slides](https://www.paltmeyer.com/content/talks/posts/2023-ieee-satml/presentation.html)
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Slides](https://www.patalt.org/content/talks/posts/2023-ieee-satml/presentation.html)
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5. [IEEE SaTML Poster](dev/poster/poster.pdf)
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6. Software:
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[`AlgorithmicRecourseDynamics.jl`](https://github.com/pat-alt/AlgorithmicRecourseDynamics.jl)
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[`AlgorithmicRecourseDynamics.jl`](https://github.com/JuliaTrustworthyAI/AlgorithmicRecourseDynamics.jl)
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and
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[`CounterfactualExplanations.jl`](https://github.com/pat-alt/CounterfactualExplanations.jl)
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[`CounterfactualExplanations.jl`](https://github.com/JuliaTrustworthyAI/CounterfactualExplanations.jl)
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## Motivation
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versions of Julia specified in the [Project.toml](Project.toml) file.
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You can use the recommend
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[juliaup](https://github.com/JuliaLang/juliaup) version manager to do
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so. Specifically, we recommend to use Julia 1.9 as follows:
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so. Specifically, we recommend to use Julia 1.8 as follows:
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juliaup add 1.9
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julia +1.9
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juliaup add 1.8
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julia +1.8
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### Instantiate and Use Package
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The code in this repo is packaged. After cloning the repo and following
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the previous step to run an interactive Julia (1.9) session, you need to
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the previous step to run an interactive Julia (1.8) session, you need to
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instantiate the package:
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``` julia
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This will create a local copy of the results in
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`dev/artifacts/download/`.
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Alternatively, you can download results selectively:
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``` julia
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synthetic = load_synthetic() # synthetic datasets
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real_world = load_real_world() # real-world datasets
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```
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### Reproducing Results
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To reproduce the results step-by-step, please consult the [online
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companion](https://www.patalt.org/endogenous-macrodynamics-in-algorithmic-recourse/).
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## References
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<div id="refs" class="references csl-bib-body hanging-indent"
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<div id="ref-altmeyer2023endogenous" class="csl-entry">
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Altmeyer, Patrick, Giovan Angela, Aleksander Buszydlik, Karol Dobiczek,
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Arie van Deursen, and Cynthia Liem. 2023. “Endogenous Macrodynamics in
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Algorithmic Recourse.” In *First IEEE Conference on Secure and
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Trustworthy Machine Learning*.
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Arie van Deursen, and Cynthia CS Liem. 2023. “Endogenous Macrodynamics
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in Algorithmic Recourse.” In *2023 IEEE Conference on Secure and
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Trustworthy Machine Learning (SaTML)*, 418–31. IEEE.
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</div>
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README.qmd

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---
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format: commonmark
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bibliography: bib.bib
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bibliography: bibliography.bib
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---
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# Endogenous Macrodynamics in Algorithmic Recourse
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Below is a list of relevant resources hosted in this repository:
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1. [Paper](paper/paper.pdf) in this repo
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2. [Paper](https://openreview.net/pdf?id=-LFT2YicI9v) on OpenReview
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3. [Online Companion](https://www.paltmeyer.com/endogenous-macrodynamics-in-algorithmic-recourse/)
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4. [IEEE SaTML Presentation Slides](https://www.paltmeyer.com/content/talks/posts/2023-ieee-satml/presentation.html)
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1. [Paper](https://arxiv.org/pdf/2308.08187) on arxiv (up-to-date).
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2. Official [publication](https://ieeexplore.ieee.org/abstract/document/10136130) on IEEE.
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3. [Online Companion](https://www.patalt.org/endogenous-macrodynamics-in-algorithmic-recourse/)
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4. [IEEE SaTML Presentation Slides](https://www.patalt.org/content/talks/posts/2023-ieee-satml/presentation.html)
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5. [IEEE SaTML Poster](dev/poster/poster.pdf)
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6. Software: [`AlgorithmicRecourseDynamics.jl`](https://github.com/pat-alt/AlgorithmicRecourseDynamics.jl) and [`CounterfactualExplanations.jl`](https://github.com/pat-alt/CounterfactualExplanations.jl)
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6. Software: [`AlgorithmicRecourseDynamics.jl`](https://github.com/JuliaTrustworthyAI/AlgorithmicRecourseDynamics.jl) and [`CounterfactualExplanations.jl`](https://github.com/JuliaTrustworthyAI/CounterfactualExplanations.jl)
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## Motivation
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### Instantiate and Use Package
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The code in this repo is packaged. After cloning the repo and following the previous step to run an interactive Julia (1.9) session, you need to instantiate the package:
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The code in this repo is packaged. After cloning the repo and following the previous step to run an interactive Julia (1.8) session, you need to instantiate the package:
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```{.julia}
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using Pkg
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real_world = load_real_world() # real-world datasets
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```
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### Reproducing Results
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To reproduce the results step-by-step, please consult the [online companion](https://www.patalt.org/endogenous-macrodynamics-in-algorithmic-recourse/).
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## References

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