Adopting and transforming to a government-wide shared service business model can save money, improve customer experience, improved decision-making power, and more.
The federal government can leverage existing authorities and hiring mechanisms to respond to staffing needs for emerging policies, technologies, and crises in near-real time.
A National Water Technology Pipeline would mobilize American entrepreneurs and manufacturers to lead on research and development of the next generation of solutions in water treatment, monitoring, and data management.
The federal government should designate “Receiving Cities” to which it will allocate funds and tax incentives aimed at producing and preserving affordable housing, in anticipation of population inflows.
BLM’s right-of-way application materials should require applicants to address how solar arrays will be planned, designed, and operated to support traditional ranching practices and surrounding rural economies.
Life-extending the existing Minuteman III missiles is the best way to field an ICBM force without sacrificing funding for other priorities.
To improve program outcomes, federal evaluation officers should conduct “unmet desire surveys” to advance federal learning agendas and built agency buy-in.
A federal agency takes over 100 days on average to hire a new employee — with significantly longer time frames for some positions — compared to 36 days in the private sector.
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.
Crowd forecasting methods offer a systematic approach to quantifying the U.S. intelligence community’s uncertainty about the future and predicting the impact of interventions, allowing decision-makers to strategize effectively and allocate resources by outlining risks and tradeoffs in a legible format.