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-# SimulatedRecourse
+# `SimulatedRecourse.jl`
+⚠ This README is a work-in-progress ⚠
 
-README will follow.
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+
+## About
+
+`SimulatedRecourse.jl` is an agent-based modeling (ABM) tool developed to simulate the dynamics of algorithmic recourse (AR) mechanisms in decision-making systems. 
+
+Algorithmic recourse is, by nature, a practical problem. It can be seen as a form of a complaint process where an individual unhappy with a decision engages with the issuing organization to learn about the ways to receive a better outcome in the future. This means that supporting the adoption of AR mechanisms by organizations requires accounting for the dynamics of the decision-making process. `SimulatedRecourse.jl` is a proof-of-concept solution that supports this broader outlook on AR.
+
+Specifically, we developed this tool to evaluate the potential value of algorithmic recourse to mitigate the negative impacts of model-driven social welfare fraud detection systems. Our research builds upon the publication of [Lighthouse Reports on "suspicion machines"](https://www.lighthousereports.com/investigation/suspicion-machines/) and relies on the data made available by the journalists.
+
+
+## Set-up
+
+Before `SimulatedRecourse.jl` is released as a package, you can install it from the repository as:
+
+```julia
+using Pkg
+Pkg.add(url="https://github.com/JuliaTrustworthyAI/SimulatedRecourse.jl")
+```
+
+To reproduce our experiments, you will also need to download the data from [the secondary repository](https://github.com/abuszydlik/Social-Welfare-Dataset/tree/main/rotterdam) (on a different license) and place the complete `rotterdam/` directory in `data/`. Afterward, you can run experiments with:
+
+```julia
+run_experiment(config::String; n_repetitions::Int, steps::Int, write_files::Bool)
+```
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