Software and data underlying the publication: Endogenous Macrodynamics in Algorithmic Recourse

DOI:10.4121/d7e7080c-7db1-41e3-95ae-19fa33b4f70c.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/d7e7080c-7db1-41e3-95ae-19fa33b4f70c

Datacite citation style

Altmeyer, Patrick; Liem, C.C.S. (Cynthia); Arie Van Deursen (2025): Software and data underlying the publication: Endogenous Macrodynamics in Algorithmic Recourse. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/d7e7080c-7db1-41e3-95ae-19fa33b4f70c.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

Code and research results for SaTML 2023 research paper. Originally released here: https://github.com/pat-alt/endogenous-macrodynamics-in-algorithmic-recourse.


The research results include:


  1. Folders with images that went into a) the body of the paper or b) the online companion.
  2. Folders with results (.jls; .csv) for different experiments: a) synthetic data; b) real-world data; and, c) mitigation strategies for both categories of datasets (see paper for details on experiments). Results for all categories are further grouped by dataset.
  3. For each dataset, results include: a) "experiment.jls" files that can be loaded into a Julia session: the loaded Julia objects are structs that contain all settings characterizing a specific experiment. b) "output.csv" files that contain the final experimental outputs: estimated counterfactual evaluation metrics groups by model and counterfactual explainer.


History

  • 2025-07-15 first online, published, posted

Publisher

4TU.ResearchData

Format

png; csv; .jl (Julia scripts); .R (R scripts); jls (serialized Julia objects)

Associated peer-reviewed publication

Endogenous Macrodynamics in Algorithmic Recourse

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Multimedia Computing;
ING Bank

DATA

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/f96f4a4c-3b04-4fe2-a4b9-0ffd666a7e89.git "endogenous-macrodynamics-in-algorithmic-recourse"

Or download the latest commit as a ZIP.

Files (2)