How GitHub Uses Data Analysis for Policy Decisions | Kevin Xu @weareceu
How GitHub Uses Data Analysis for Policy Decisions | Kevin Xu  @weareceu
Uploaded January 2026 | Updated September 2026, 2 weeks ago
Discover how GitHub uses data analysis to drive policy, measure open source impact, and empower developers.

Join Kevin Xu, software engineer at GitHub’s policy team, as he explores how data analysis informs tech policy, open source sustainability, and developer behavior. Learn how GitHub builds datasets like the Innovation Graph, applies causal inference, and measures the economic impact of open source software.

This session was part of the second Data Analytics Jamboree in Vienna, hosted by the Department of Economics at Central European University (CEU) and the Vienna Data Science Group. The event brought together data scientists, engineers, analysts, managers, and students from Austria, USA, Germany, and Hungary for expert talks, a live-streamed keynote and roundtable, a data job market open mic, and vibrant networking—showcasing CEU’s global approach to data science.

Whether you’re a developer, data scientist, or policy professional, this talk shows how data-driven insights shape real-world decisions in tech. Explore GitHub’s approach to AI, open source, and policy, and learn practical strategies for leveraging data in your own work.

Learn more about the MS in Business Analytics program at CEU:
https://www.ceu.edu/academics/degrees/ms-business-analytics

About CEU
Central European University (CEU) is a research-focused university offering a wide spectrum of interdisciplinary undergraduate and postgraduate degrees in the heart of Europe. Our ever-growing international community of students, alumni, permanent and visiting faculty and program partners enables you to challenge conventional wisdom, explore diverse perspectives and critically examine the biggest challenges of the 21st century.

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Timestamps:
0:00 – Introduction & Event Overview
0:12 – Why Collaboration Matters at CEU
0:40 – Meet Kevin Xu, GitHub Policy Engineer
1:01 – Kevin Xu’s Career Journey: From Biology to Software
1:55 – Role in GitHub Policy Team
3:06 – Value of Methods & Continuous Learning in Industry
4:05 – GitHub Policy Team: Supporting Developers Globally
5:04 – Economic Impact of Open Source Software
5:38 – GitHub Innovation Graph Explained
6:52 – Global Repository Activity: Trends & Insights
7:33 – Programming Language Rankings on GitHub
8:28 – Data Visualization for Engagement: Bar Chart Race
10:37 – Enabling Research Through Public Aggregate Data
11:10 – Case Study: Synthetic Diff-in-Diff Analysis
12:00 – Predictive Analysis & North American Industry Codes
14:12 – Global Trends: Sector Proportions Across Economies
15:23 – Causal Analysis Example: DMCA & Circumvention Tools
19:02 – Causal Estimates: LinkedIn Economic Graph Collaboration
20:07 – GitHub Copilot Free Access Program: Impact on Developers
21:31 – Coding vs. Project Management Activities: Observations
24:04 – Heterogeneous Treatment Effects on Developers
25:01 – Closing Remarks & Q&A

#SeeUatCEU #GitHubDataAnalysis #TechPolicy #OpenSourceInsights
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How GitHub Uses Data Analysis for Policy Decisions | Kevin Xu

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