Transition Document for the United States Patent and Trademark Office
Summary
This transition document provides over 25 actionable recommendations on the future of the United States Patent and Trademark Office (USPTO), in order to support future federal leadership and enable their success. The document is the result of collaboration between the Day One Project and a group of veteran policymakers who convened virtually to produce recommendations related to the following three categories:
- Identifying specific policy and governance ideas that can be pursued in the first days and months of the next administration.
- Gathering “lessons learned” from those who have previously served in government to learn from past challenges and better inform future initiatives.
- Understanding key science and technology staffing and “talent” needs, and related challenges for the USPTO that can be addressed in the next administration.
The document also includes a cover memo which highlights some of the overarching key considerations for the future of the USPTO.
Contributors
- Margo A. Bagley
- Sharon Barner
- Brian Cassidy
- Colleen V. Chien
- Mark Allen Cohen
- Ayala Deutsch
- Ben Haber
- Philip G. Hampton
- Justin Hughes
- David J. Kappos
- Quentin Palfrey
- Arti K. Rai
- Teresa Stanek Rea
- Robert L. Stoll
- A. Christal Sheppard
- Saurabh Vishnubhakat
- Stephen Yelderman
By better harnessing the power of data, we can build a learning healthcare system where outcomes drive continuous improvement and where healthcare value leads the way.
In this unprecedented inflection point (and time of difficult disruption) for higher education, science funding, and agency structure, we have an opportunity to move beyond incremental changes and advocate for bold, new ideas that envision a future of the scientific research enterprise that looks very different from the current system.
Assigning persistent digital identifiers (Digital Object Identifiers, or DOIs) and using ORCIDs (Open Researcher and Contributor IDs) for key personnel to track outputs for research grants will improve the accountability and transparency of federal investments in research and reduce reporting burden.
Research funding agencies should apply the content of grant applications to AI tools to predict the future of scientific and technological breakthroughs, enhance peer review, and encourage better research investment decisions by both the public and the private sector.