June 17, 2009 By Jim McKay, Editor
Tribal emergency managers will receive $1.7 million in preparedness grants as part of nearly $1.8 billion in grants announced Tuesday by the U.S. Department of Homeland Security (DHS).
The Federal Emergency Management Agency (FEMA) grants are designed to help state, local and tribal governments with protection, response and recovery for all disasters, according to a DHS press release. "These grants provide direct support for regional preparedness, urban security and medical response efforts in the communities across the country," said DHS Secretary Janet Napolitano in the release.
The new allocations include steps the DHS has taken to improve the ability of state, local and tribal governments to apply for and use FEMA grants, according to the release, including:
The tribal grants target an area heretofore, overlooked, according to some. "We are particularly happy with the funds designated to tribal emergency managers who are a critical yet often overlooked partner in the nation's layered emergency management system," said Russell Decker, the International Association of Emergency Managers president. "We are also encouraged by the secretary's pledge to make the grant process less cumbersome for local, tribal and state recipients. It's clear the administration is listening to the key stakeholders."
The grant allocations were announced as follows:
Homeland Security Grant Program (HSGP) -- $1.7 billion will be split between:
This Digital Communities white paper highlights discussions with IT officials in four counties that have adopted shared services models. Our aim was to learn about the obstacles these governments have faced when it comes to shared services and what it takes to overcome those roadblocks. We also spoke with several members of the IT industry who have thought long and hard about these issues. The paper offers some best practices for shared government-to-government services, but also points out challenges that government and industry still must overcome before this model gains widespread adoption.