Students, families and communities want and need more STEM learning experiences to realize the American Dream, and yet they cannot access them. Prioritizing STEM education must be an urgent priority for the federal government and the Department of Education.
The Department of Education must provide guidance for education decision-makers to evaluate AI solutions during procurement, to support EdTech developers to mitigate bias in their applications, and to develop new fairness methods.
In the nascent yet exponentially expanding world of AI in medical imaging, a well-defined standards and metrology framework is required to establish robust imaging datasets for true precision medicine, thereby improving patient outcomes and reducing spiraling healthcare costs.
The incoming presidential administration of 2025 should champion a policy position calling for strengthening of the connection between K-12 schools and community workplaces.
Small, fast grant programs are vital to supporting transformative research. By adopting a more flexible, decentralized model, we can significantly enhance their impact.
New solutions are needed to target diseases before they are life-threatening or debilitating, moving from retroactive sick-care towards preventative healthcare.
To help all American workers and strengthen the national economy, the next administration should establish a Sector-Focused Employment Training Initiative to coordinate and expand evidence-based sectoral employment training programs across the U.S. workforce
To improve program outcomes, federal evaluation officers should conduct “unmet desire surveys” to advance federal learning agendas and built agency buy-in.
At least 40% of Medicare beneficiaries do not have a documented AHCD. In the absence of one, medical professionals may perform major and costly interventions unknowingly against a patient’s wishes.
AI has transformative potential in the public health space, but innovation driven primarily by the private sector today may be exacerbating existing disparities by training models.
With targeted policy interventions, we can efficiently and effectively support the U.S. innovation economy through the translation of breakthrough scientific research from the lab to the market.
Innovations in artificial intelligence and robotics will allow us to accelerate the search process using foundation AI models for science research and automate much of the experimentation with robotic, self-driving labs.