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Digital Innovation for the Public Good

Catalyzing Collaborative Research for High Impact

The UC Noyce Initiative's mission is to advance research collaborations in critical areas of digital technology and innovation to drive informed, ethical and timely discovery for the public good. 
 

It brings together researchers from five UC campuses Berkeley, Davis, Irvine, San Francisco, and Santa Barbara by building community and awarding competitive grants focused in these key areas:

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Cybersecurity

Addressing Society's Needs for Greater Digital Security and Privacy

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Computational Health

Supporting Innovation at the Intersection of Technology, Health Science and Medicine.

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Quantum Computing

Revolutionizing Computation Capabilities to Solve Societies Most Complex Challenges.

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Robert Noyce and Ann Bowers

Robert Noyce and Ann Bowers Legacies of drive and innovation

Robert "Bob" N. Noyce, Ph.D. was a physicist and one of the most pivotal visionaries and innovators of the 20th century. He invented the integrated circuit, more commonly known as the microchip, and co-founded both Fairchild Semiconductor and Intel. Ann Schmeltz Bowers was a technology industry executive pioneer, longtime philanthropist and the wife of Noyce. In 2020, The Robert N. Noyce Trust made a gift to the University of California system to launch the UC Noyce Initiative to honor their legacies.

Read more about their extraordinary lives and legacies.

The Power of Five

The power and potential of the UC Noyce Initiative lies in our cooperative spirit. Together, we are driving discovery around the most pressing challenges and exciting opportunities in digital innovation. Learn more about the Power of Five.

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News

Portrait of Ziad Obermeyer

Helping Doctors Make Better Decisions with Data

  • by MIT Sloan Management Review

When (UC Noyce Initiative researcher) Ziad Obermeyer was a resident in an emergency medicine program, he found himself lying awake at night worrying about the complex elements of patient diagnoses that physicians could miss. He subsequently found his way to data science and research and has since coauthored numerous papers on algorithmic bias and the use of AI and machine learning in predictive analytics in health care.