Survey of Computer Science Faculty: Collaboration with Private Industry

This comprehensive study provides an in-depth look at the extent and nature of financial relationships between computer science faculty and leading private sector technology firms. The report analyzes responses from faculty across a range of institutions and demographics, offering valuable insights for academic leaders, policymakers, and industry partners interested in the evolving landscape of academia-industry collaboration. What’s Inside the Report? Readers will find: Detailed survey results on compensation received from major tech companies Breakdowns by faculty rank, institution type, enrollment size, age, gender, sector, course load, political orientation, and scholarly focus Comparative analysis across twelve leading technology firms Data tables and subgroup highlights for nuanced understanding Conclusions and demographic notes on collaboration trends Some Key Data Findings Low Overall Incidence of Compensation: Across the entire sample, only a small percentage of faculty reported receiving salary, royalties, commissions, research support funds, or any compensation from private firms. For example, 4.35% reported compensation from OpenAI Compensation Concentrated Among Professors and AI/ML Specialists: Professors reported higher rates of compensation (e.g., 10% for OpenAI Mid-Size Institutions and Public Sector More Likely to Collaborate: Faculty at institutions with enrollments between 4,000–9,500 reported higher rates of compensation from multiple firms (e.g., 11.76% for OpenAI and Amazon; 5.88% for Google Mind, IBM, and Microsoft). Public institutions also showed non-zero rates, while private institutions were frequently at 0% Demographic Patterns: Age and gender played a role in collaboration rates. Faculty aged 50–59 and 60+ showed higher rates of compensation from certain firms. Gender patterns varied: for Amazon, 9.52% of female faculty reported compensation versus 2.08% of male faculty.