50
Lauren Underwood
Serving in office
Scheduled research active
Main board
Too little promise evidence has been reviewed. Treat this score as provisional.
This profile keeps a lifetime office and promise record. The trust score is designed to stay close to 50 until enough claims and evidence are reviewed.
Breakdown
- Delivered during the term promised: 0 x 1.0
- Delivered in a later elected term: 0 x 0.8
- Partial delivery: 0 x 0.4
- Failed by documented deadline: 0 x 0.0
- Excluded from denominator: pending 3, unverified 20, timing unknown 0.
- Historical coverage: not established.
- Disputed claims tracked separately: 0
- Reviewed promises in current record: 0
- Confidence: 0%
- Current claim count: 23
- Current evidence count: 145
Office History
-
Candidate for U.S. Representative
Illinois 14th Congressional District · current
Federal House reelection campaign; won the 2024 general election. -
U.S. Representative
Illinois 14th Congressional District · current
Federal elected office held. Service began with the 116th Congress after the 2018 election and continues in the 119th Congress. -
U.S. Representative
Illinois 14th · current
Historical elected offices still need research. -
Candidate for U.S. Representative
Illinois 14th Congressional District
Federal House reelection campaign; won the 2022 general election. -
Candidate for U.S. Representative
Illinois 14th Congressional District
Federal House reelection campaign; won the 2020 general election. -
Candidate for U.S. Representative
Illinois 14th Congressional District
Federal House campaign; won the 2018 general election.
- Ensure access to high-quality, affordable health care and eliminate cost barriers to care.
- Expand the mental health workforce.
- Support rural health care systems.
- End the nation's maternal health crisis.
- Modernize public health data infrastructure.
- Protect nationwide access to fertility services like IVF and make them affordable and covered by health plans.
- Prevent providers from facing criminal prosecution or jail for providing reproductive health care.
- Achieve a 100% clean energy economy by 2050.
- Get gun safety legislation signed into law.
- Require new Amtrak trains to be equipped with baby changing stations in restrooms.
- Provide funding for evidence-based youth suicide prevention and lethal-means safety training for current and future health care professionals.
- Create a centralized database of suicide prevention resources and best practices for at-risk youth, families, schools, and health care professionals.
- Expand access to electric vehicle charging stations for seniors and people with disabilities by requiring accessible charger guidance.
- Cosponsor and work to pass the Momnibus maternal health package.
- Establish a CISA pilot program to train State, local, Tribal, and territorial officials to conduct critical infrastructure security vulnerability and terrorism risk assessments.
- Create a centralized online resource for critical infrastructure owners and operators to access security guidance and best practices.
- Require CISA to report annually on how it shares critical infrastructure security resources and engages infrastructure owners nationwide.
- Authorize $63.4 million annually for six years for the NIH IMPROVE Initiative to support maternal mortality and severe morbidity research.
- Oppose DHS procurement and deployment of electric shock gloves for ICE personnel.
- Expand evidence-based lethal means safety training to all VA employees who regularly interact with veterans, community care providers, and family caregivers.
- Require the VA to share lethal means safety training resources with the general public and include compliance and reporting requirements.
- Create permanent federal funding to support graduate nursing clinical training through partnerships between hospitals, nursing schools, and community-based care settings.
- Require group health plans and group or individual health insurance coverage to cover over-the-counter contraceptives.
Method note
Long term, this app should score against a manually reviewed promise ledger that spans every elected office the candidate has held. The current model uses a Bayesian-style shrinkage step: thin records are pulled back toward 50 so the UI does not overstate certainty.
Claim occurrences, evidence, and future AI adjudications are all designed to store provider and model provenance. Formula version: 0.2.0.