AAAI Conference on Artificial Intelligence (AAAI)

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The Percentage of Empirical Papers Documenting Each Reproducibility Variable

Venue Year Papers
Repro. Score Reproducibility Score based on Gundersen et al. (2025)
Doc. Mean Global mean is the average score over the seven reproducibility variables for empirical research papers.
Doc. Median Global median is the median score over the seven reproducibility variables for empirical research papers.
Dataset Doc. Documentation mean is the average score over the Open Datasets and Dataset Splits reproducibility variables for empirical research papers.
Code Doc. Documentation mean is the average score over the Open Source Code reproducibility variables for empirical research papers.
Other Doc. Documentation mean is the average score over the Pseudocode, Hardware Specification, Software Dependencies, and Experiment Setup reproducibility variables for empirical research papers.
% Empirical Percentage of papers that are empirical research vs theoretical research
% Industry Percentage of empirical research papers with at least one author from Industry
Website
AAAI 2025 2903 0.58 3.83 4.0 1.52 0.54 1.77 95.8% 27.62%
AAAI 2024 2331 0.57 3.55 4.0 1.31 0.54 1.7 95.37% 31.67%
AAAI 2023 1578 0.57 3.68 4.0 1.38 0.54 1.76 93.85% 37.41%
AAAI 2022 1319 0.53 3.62 4.0 1.36 0.47 1.79 93.18% 41.01%
AAAI 2021 1654 0.5 3.6 4.0 1.39 0.42 1.8 92.26% 42.46%
AAAI 2020 1607 0.46 3.41 3.0 1.41 0.36 1.65 93.84% 43.5%
AAAI 2019 1146 0.41 3.3 3.0 1.33 0.27 1.7 92.23% 37.65%
AAAI 2018 935 0.37 3.24 3.0 1.32 0.21 1.71 92.51% 28.09%
AAAI 2017 645 0.33 3.06 3.0 1.17 0.16 1.73 89.46% 23.05%
AAAI 2016 676 0.27 2.65 3.0 1.01 0.12 1.53 88.02% 22.35%
AAAI 2015 651 0.25 2.54 3.0 0.91 0.09 1.53 84.79% 17.39%
AAAI 2014 447 0.24 2.57 3.0 0.88 0.08 1.61 87.25% 16.41%