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Sponsored by Rep. Marlin A. Stutzman (R-IN) · 1 active : 1 Democrat
Latest action: Received in the Senate and Read twice and referred to the Committee on Banking, Housing, and Urban Affairs.
Fostering the Use of Technology to Uphold Regulatory Effectiveness in Supervision Act
This bill requires specified federal financial agencies to assess their technological capabilities and procurement practices.
Specifically, agencies (the Federal Reserve Board, the Consumer Financial Protection Bureau, the Federal Deposit Insurance Corporation, the Department of the Treasury, the Office of the Comptroller of the Currency, the Financial Crimes Enforcement Network, the Federal Housing Finance Agency, and the National Credit Union Administration) must assess the technology used by the agency and its capabilities to conduct real-time supervisory assessments of entities over which the agency has supervisory authority.
Additionally, the agencies must assess the applicable procurement rules and protocols when acquiring or developing new technological systems and identify any opportunities to streamline these procedures.
Every five years, these agencies must report to specified congressional committees. Among other topics, the report must contain an overview of the technology used in supervisory assessments and any anticipated upgrades, a description of procurement practices, an overview of the agency’s technology development workforce, and details regarding data sharing procedures.
Each member’s recorded vote compared with their swing projection from before the vote. A member by voting against most of their own party.
| BandBand before the vote | VotedVoted yea or nay | BrokeBroke with party | Share |
|---|---|---|---|
| Swing | 67 | 0 | 0% |
| Middle | 227 | 4 | 2% |
| Entrenched | 124 | 3 | 2% |
Members fall into . 6 representatives don’t have enough data yet and are marked “insufficient data”. Non-voting delegates are not counted. The bill is not before the House right now; these scores show where members would stand.
: only movement toward the other party counts, so members who sit further from the center than their party no longer score as swing votes.
Bars show each input from 0 to 100: ideology gap, scorecard gap, , and the . is the seat’s partisan lean, and shows how much of the input data a score has.
Loading similar votes
| Insufficient data |
|---|
| 6 |
| 0 |
| 0% |
| All voting members | 424 | 7 | 2% |
|---|
: Pair any member who broke with one who stayed with their party: in 36% of those pairs, the one who broke had the higher swing score before the vote. Chance would be 50%.
Projections from swing-v3-dir, computed with data from before the vote. Present and not voting never count as breaking.



These members have less than half of the model’s inputs, so their scores are not banded or ranked.






Ringed dots broke with their party on the vote.
Ideology is each member’s score. The cluster low on the chart includes the bill’s 2 sponsor and cosponsors in the House: they have already committed, so they score as entrenched. 6 representatives without a DW-NOMINATE score or with insufficient data are not plotted.
Similar votes count toward swing-v3 in the House: total similarity weight 19.0 (needs 5.0).