Cover Page of Report on Bayh Dole Patent Trends. Features blue background and 'blueprint' style images of 2 pills, and a molecule

Data Brief

Bayh-Dole Patent Trends

Charting Developments in Government-Funded Intellectual Property Through Time

Sara Abdulla

Jack Corrigan

August 2023

This brief examines trends in patents generated through federally funded research, otherwise known as Bayh-Dole patents. We find that while Bayh-Dole patents make up a small proportion of U.S. patents overall, they are much more common in certain fields, especially in biosciences and national defense related fields. Academic institutions are major recipients of Bayh-Dole patents, and the funding landscape for patent-producing research has shifted since Bayh-Dole came into effect in 1980.

Download the Report

Patent data can provide insights into the most active countries, fields and organizations in artificial intelligence research. This data brief analyzes worldwide trends in AI patenting to offer metrics on inventive activity.

Since 2011, China has dramatically grown its robotics sector as part of its mission to achieve technological leadership. The Chinese government has encouraged this growth through incentives and, in some cases, subsidies. Patents in robotics have surged, particularly at Chinese universities; by contrast, private companies comprise the bulk of robotics patent filers around the world. China has also seen a corresponding growth in robotics purchasing and active robotics stock. This data brief explores the trends in robotics patent families published from China as a measure of robotics advancement and finds that China is on track to emerge as a world leader in robotics.

Advances in robotics technology are having a transformative effect on how people work, travel, communicate, and fight wars. This data brief provides an overview of global trends in robotics patents between 2005 and 2019, focusing in particular on the state of robotics patenting in Russia, as well as developments in military robotics patents both in Russia and across the globe.

System Re-engineering

September 2020

The United States must adopt a new approach to R&D policy to optimize the diversity of the current system, manage the risks of system dispersion and deliver the benefits of R&D to society. This policy brief provides a new framework for understanding the U.S. R&D ecosystem and recommendations for repositioning the role of the federal government in R&D.

This brief provides a framework for a systems-oriented approach to technology and national security strategy. It identifies and discusses the tensions among three strategic goals of technology and national security policy — driving technological innovation, impeding adversaries’ progress, and promoting safe, values-driven technology deployment — and highlights various levers of power that policymakers can use to pursue those goals. This adaptable framework, suitable for any country or international body, emphasizes the importance of creative problem-solving and maintaining a comprehensive understanding of the policy landscape.

In the past decade, Chinese researchers have become increasingly prolific authors of highly cited AI publications, approaching the global research share of their U.S. counterparts. However, some analysts question the impact of Chinese publications; are they well respected internationally, and do they cover important topics? In this data brief, the authors build on prior analyses of top AI publications to provide a richer understanding of the two countries’ contributions to high-impact AI research.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the fourth in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the fifth in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.