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Add supplementary data - #67

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gdc2026
Sep 1, 2026
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Add supplementary data#67
khxu merged 1 commit into
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gdc2026

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@khxu khxu commented Sep 1, 2026

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Copilot AI balanced review requested due to automatic review settings September 1, 2026 00:12
@khxu
khxu merged commit 9e99992 into main Sep 1, 2026
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khxu deleted the gdc2026 branch September 1, 2026 00:13

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Copilot review overview

🟡 Changes recommended

Dataset scope and population reference year need explicit documentation.

Once you've addressed the issues Copilot identified, you can request another Copilot review.

Review tier: Balanced
Findings: 2 Low severity

New issues introduced by this change (2)
Severity Finding
Low severity supplementary_data/​git_pushes_weighted_by_profile_economy/​README.md — Document the row-selection scope. The files contain only the top 30 economies overall and up to 10…
Low severity supplementary_data/​git_pushes_weighted_by_profile_economy/​README.md — Replace “latest available data” with the exact World Bank observation year (and ideally the…
What changed in this PR

Adds supplementary GitHub push rankings prepared for GDC26.

Changes:

  • Adds weighted push and per-capita CSV datasets.
  • Documents methodology and links the datasets from the main README.
File Description
README.md Links supplementary datasets.
supplementary_data/​.../​README.md Documents purpose and methodology.
supplementary_data/​.../​git_pushes_weighted_by_profile_economy.csv Adds overall rankings.
supplementary_data/​.../​git_pushes_weighted_by_profile_economy_per_capita.csv Adds regional per-capita rankings.

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The [`git_pushes_weighted_by_profile_economy.csv`](./git_pushes_weighted_by_profile_economy.csv) and [`git_pushes_weighted_by_profile_economy_per_capita.csv`](./git_pushes_weighted_by_profile_economy_per_capita.csv) datasets were prepared for the [Global Digital Collaboration Conference 2026 (GDC26)](https://globaldigitalcollaboration.org/gdc26?day=sept-1), 1-3 September in Geneva, to inform the D5 and D10 rankings.

Git pushes from each economy were summed across Q3 2025 + Q4 2025 + Q1 2026 + Q2 2026. To adjust for biases caused by VPN usage, LLM classification was used to extract the [ISO 3166-1 alpha-2 code](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2) from the profiles of GitHub users who contributed git pushes during this period, which were then used to construct ratios of ISO 3166-1 alpha-2 codes based on profile location vs. ISO 3166-1 alpha-2 codes based on IP address. These ratios were then used to weight the git pushes from each economy.

The per capita dataset was produced using the latest available data for population ages 15-64 from the World Bank: [SP.POP.1564.TO, World Population Prospects, United Nations (UN), UN Population Division; Staff estimates, World Bank (WB)](https://data.worldbank.org/indicator/SP.POP.1564.TO). Microstates, [defined by the International Monetary Fund (IMF) as economies with a population of less than 200,000](https://www.elibrary.imf.org/view/journals/007/2024/035/article-A001-en.xml), were excluded from the per capita dataset.
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