“Several events this past year — the Fort Hood Shooting and the attempted bombings on Christmas Day and in Times Square — highlight challenges, successes, and gaps in our ability to effectively share and access information,” wrote Kshemendra N. Paul, the program manager of the ODNI Information Sharing Environment (ISE) in a new annual report to Congress (pdf) on the current state of intelligence and threat information sharing.
“Looking back to the events of September 11, 2001, we have come far in our sharing of and access to information across boundaries organizational boundaries and mission domains. Yet much remains to be done to support the frontline,” Mr. Paul wrote.
The information sharing initiative is focused on overcoming barriers to communication within the government, not on public disclosure. But sharing ought to include the public too, the report suggested at one point.
“Most of the work of building the ISE to date has been aimed at expanding information sharing across all areas of government in the U.S. and, to a lesser extent, with private sector organizations and foreign partners. As the ISE continues to evolve, however, we recognize that to support the Administration’s commitment to openness and transparency, we must extend those efforts to include the American public as well,” the new annual report to Congress said (p. 57).
We need to overhaul the standardized testing and score reporting system to be more accessible to all of the end users of standardized tests: educators, students, and their families.
Integrating AI tools into healthcare has an immense amount of potential to improve patient outcomes, streamline clinical workflows, and reduce errors and bias.
Whole Health is a proven, evidence-based framework that integrates medical care, behavioral health, public health, and community support so that people can live healthier, longer, and more meaningful lives.
What if low trust was not a given? Or, said another way: what if we had the power to improve trust in government – what would that world look like?