A National Cloud for Conducting Disinformation Research at Scale
Summary
Online disinformation continues to evolve and threaten national security, federal elections, public health, and other critical U.S. sectors. Yet the federal government lacks access to data and computational power needed to study disinformation at scale. Those with the greatest capacity to study disinformation at scale are large technology companies (e.g., Google, Facebook, Twitter, etc.), which biases much research and limits federal capacity to address disinformation.
To address this problem, we propose that the Department of Defense (DOD) fund a one-year pilot of a National Cloud for Disinformation Research (NCDR). The NCDR would securely house disinformation data and provide computational power needed for the federal government and its partners to study disinformation. The NCDR should be managed by a governance team led by Federally Funded Research and Development Centers (FFRDCs) already serving the DOD. The FFRDC Governance Team will manage (i) which stakeholders can access the Cloud, (ii) coordinate sharing of data and computational resources among stakeholders, and (iii) motivate participation from diverse stakeholders (including industry; academia; federal, state, and local government, and non-governmental organizations).
A National Cloud for Disinformation Research will help the Biden-Harris administration fulfill its campaign promise to reposition the United States as a leader of the democratic world. The NCDR will benefit the federal government by providing access to data and computational resources needed to combat the threats and harms of disinformation. Our nation needs a National Cloud for Disinformation Research to foresee future disinformation attacks and safeguard our democracy in turbulent times.
The real opportunity of AI lies not just in the tools, but in an educator workforce prepared to wield them. When done right, this investment in human infrastructure ensures AI accelerates learning outcomes for all students, closing the “digital design divide.”
Good information sources, like collections, must be available and maintained if companies are going to successfully implement the vision of AI for science expressed by their marketing and executives.
Nestled in the cuts and investments of interest to the S&T community is a more complex story of how the administration is approaching the practice of science diplomacy.
By structuring licensing-and-talent deals that replicate mergers while avoiding antitrust scrutiny, dominant technology firms are reshaping AI labor markets, venture financing, and the future of U.S. innovation.