Called today to speak on behalf of U.S. science and technology, Dr. Jedidah Isler, astrophysicist, educator, strategist, policy-maker, and science communicator, will provide constructive, nonpartisan feedback to the House Committee’s hearing “American Global Competitiveness at 250: Legislative Proposals to Secure U.S. Technology Leadership.”
“Federal data and access to it is not a partisan issue. It is a people issue. Our country cannot achieve greatness without access to the data that measure what we value, who we are, and where we’re heading.”
The United States’ biosecurity governance system is structurally incapable of detecting and responding to certain classes of threats. U.S. biosecurity tools have not kept pace with technological advancements or a changing threat landscape.
The United States has never lacked for scientific ambition. What we need now is a renewed civic commitment to ensuring that talent is harnessed for the benefit of all people. Science can work for everyone. Join us as we build a broader coalition committed to that vision.
The United States federal government invests nearly $150 billion annually in research and development. However, the supporting evidence generates wildly different estimates depending on the methods and available data.
The digital government field has an opportunity to build a more responsive and resilient government by pushing into new frontiers, with new tools, approaches, and even organizations that don’t exist yet. This is the time for radical experimentation, delivery, and exploration.
Americans are paying too much for almost everything, because the United States has long treated its trucking industry as an artifact to be preserved rather than as an opportunity for innovation.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.
When properly structured — with specific numeric targets, secured financial obligations, independent monitoring, and meaningful enforcement — CBAs transform data center deals into durable community partnerships.
Protecting the public from the tech industry’s predatory business models and the next wave of AI harms is an enormous challenge, but we have the evidence that trying to build a healthier digital culture is absolutely worth the effort.