As stated in the note from the Sunlight Foundation′s Board Chair, as of September 2020 the Sunlight Foundation is no longer active. This site is maintained as a static archive only.

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Earmark Season: Republicans up the ante on Democratic for-profit ban

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Following the announcement by Rep. David Obey, chairman of the House Appropriations Committee, and Rep. Norm Dicks, incoming chairman of the House Defense Appropriations Subcommittee, that members can no longer earmark funs to for profit companies, the House Republicans have adopted a one-year moratorium on earmark requests.

The deadline for House members to submit earmark requests to the Appropriations Committee is March 19.

As of now, neither Senate Democrats or Republicans have announced any changes to their earmarking procedures, so for-profit companies could still receive earmarks and Republican Senators could request earmarks for districts represented by House G.O.P ...

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How a grant grew from $35,000 to almost a million

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In 2004, the National Park Service gave the George Wright Society, a Hancock, Mich.-based nonprofit that promotes preservation and understanding of natural and cultural resources, a $35,000 cooperative agreement (a kind of grant in which the recipient will work closely with a federal agency to accomplish a public purpose) to host a pair of conferences. Over five years, that initial cooperative agreement grew in value to more than $800,000, and came to include such projects as coordinating the complex travel arrangements for archaeologists to visit Afghanistan (something the nonprofit has yet to do).

The Inspector General ...

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Quantifying Data Quality

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You've already heard me complain about data quality -- how it's a bigger problem than most people realize, and a harder problem than many people hope. But let's not leave it there! Perfect datasets mostly exist in textbooks and computer simulations. We need to figure out what we can do with what we have. In this and other posts, I hope to give the developers in our community some idea of how they can deal with less-than-perfect data.

The first step is to figure out how bad things actually are. To do that, we'll use some simple statistics -- those of you with a strong stat background can skip to the next entry in your RSS reader (or better yet, correct my mistakes in comments).

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