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H.R. 1616: Strengthening State and Local Cyber Crime Fighting Act of 2017

This was a vote to pass H.R. 1616 in the House. This vote was taken under a House procedure called “suspension of the rules” which is typically used to pass non-controversial bills. Votes under suspension require a 2/3rds majority. A failed vote under suspension can be taken again.

H.R. 1616 amends the Homeland Security Act of 2002 to provide statutory authorization to establish within the Department of Homeland Security (DHS) a National Computer Forensics Institute (NCFI) to be operated by the U.S. Secret Service for the dissemination of homeland security information related to the investigation and prevention of cyber and electronic crime, including threats or acts of terrorism, to educate, train, and equip state, local, tribal, and territorial law enforcement officers, prosecutors, and judges.

The National Computer Forensic Institute (NCFI) was opened in 2008 as a partnership between the Secret Service and the state of Alabama with a mandate to provide state and local law enforcement, and legal and judicial professionals a free, comprehensive education on current cyber-crime trends, investigative methods, and prosecutorial and judicial challenges.

"By authorizing the NCFI in federal law, this bill ensures proper oversight and accountability to enable NCFI to remain the nation’s premier cybercrime training center," says the sponsor, Rep. John Ratcliffe (R-TX4) , about a previous iteration of this bill introduced in the 114th Congress, H.R.3490.

Source: Republican Policy Committee

Totals

All Votes R D
Yea 95%
 
 
408
224
 
184
 
Nay 1%
 
 
3
3
 
0
 
Not Voting 4%
 
 
19
10
 
9
 

Date: May 16, 2017

Question: On Motion to Suspend the Rules and Pass, as Amended in the House

Required: 2/3

Result: Passed

Source: house.gov

Ideology Vote Chart

Key: R Yea D Yea R Nay
Seat position based on our ideology score.

Cartogram Map

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Vote Details

Notes: The Speaker’s Vote? “Aye” or “Yea”?
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Statistically Notable Votes

Statistically notable votes are the votes that are most surprising, or least predictable, given how other members of each voter’s party voted and other factors.

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