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Record W7009101851

Detecting Human Trafficking: Past and Future

2011· article· en· W7009101851 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsTypologyEquity (law)Human resourcesReading (process)Financial servicesHuman services
DOInot available

Abstract

fetched live from OpenAlex

Event Description Human Trafficking is a massive and global problem that threatens the lives and wellbeing of innumerable people every year. In this program, panelists will discuss the problem of human trafficking, and how human traffickers can be detected and stopped through the use of financial transactions and data. CLE Reading Materials Speaker Biographies Bill Cloninger has been a Senior Investigator in KeyBank’s AML Investigations Unit since 2005. This "second career" follows over 20 years of wide-ranging banking managerial experience with Wells Fargo Bank, Crocker National Bank, Western States Bankcard Association and Bracton Corporation, a merchant banking and private equity firm owned by the UK clearing bank, Midland Bank plc. Mr. Cloninger is the founder and co-chairman of the ACAMS Northern Ohio Chapter, founded in 2014. The chapter was awarded the ACAMS Chapter of the Year Award in 2017. ACAMS also honored Mr. Cloninger in 2016 by naming him the “ACAMS Professional of the Month” for April 2016. Outside of banking, Mr. Cloninger is a World and US National record-setting hot air balloon pilot and an avid bicyclist. Phil DeLuca is Senior Vice President and Director of Compliance Controls at U.S. Bank. Prior to joining U.S. Bank, he led the AML investigations department of a large global bank where he and his team pioneered the use of issue-based typology driven investigations. Mr. DeLuca has over 30 years of financial services investigations management experience and has conducted and managed numerous high profile/sensitive anti-money laundering/counter-terrorist financing investigations. He has partnered with all levels of law enforcement to develop leading-edge investigative strategies and has been recognized by the highest levels of government for his leadership and expertise in leveraging an issue-based investigation approach to identifying data characteristics that are potentially indicative of human trafficking. In 2012, Mr. DeLuca was invited to present at the White House Forum to Combat Human Trafficking with a panel of colleagues from law enforcement and the technology industry. Mr. DeLuca regularly advises industry, government, and law enforcement agencies on typology development and data interrogation techniques to be more proactive and productive in detecting illicit financial activity. Daniel M. Polar is Director, Marketing Planning - Financial Crime Compliance for LexisNexis® Risk Solutions. He is responsible for defining strategies in the United States and Canada that deliver innovative compliance technology combined with comprehensive financial intelligence that enable financial institutions and corporate clients to efficiently and effectively comply with relevant governmental regulations. Polar maximizes the company’s core capabilities including vast data assets in both the physical and digital realms. By leveraging industry-leading big data technology, the solutions are designed and implemented to uncover hidden and indirect risks in customer portfolios. This information is used to streamline and automate customer acquisition and monitoring functions based on a holistic view of each customer record. Prior to joining LexisNexis® Risk Solutions in 2005, Daniel worked in the banking industry and focused on commercial and consumer underwriting, compliance, and fraud prevention with an emphasis on BSA/AML Compliance. Maya Simek is a clinical law professor and co-director of Case Western Reserve’s Health & Human Trafficking Clinic. She also serves as managing legal director at Equality Ohio, where she developed and is now supervising a state-wide legal clinic for the lesbian gay bisexual transgender queer (LGBTQ+) community. Simek focuses her practice on legal issues impacting the LGBTQ+ community and human trafficking prevention and victim redress. Her other areas of interest include community lawyering and the importance of interdisciplinary collaboration, particularly with social services, on the efficacy of legal practice. The focus on these areas of interest inspired Simek’s spearheading of a law clinic for individuals affected by HIV/AIDS engaging in case management services at the Nueva Luz Urban Resource Center in 2012. Simek earned her JD in 2010 from Cleveland-Marshall College of Law, her MSSA in 2007 from Case Western Reserve’s Mandel School of Applied Social Sciences, and her BS in 2000 from John Carroll University. Simek is admitted to the bar in Ohio and California, and she is an Ohio Licensed Independent Social Worker with Supervision designation (LISW-S). Angel Nguyen Swift is Head of Conduct Management for Wells Fargo where she leads a team responsible for ensuring employees act ethically on behalf of Wells Fargo, its customers, and employee base. Part of the Enterprise Customer Excellence group within the Chief Operations Office, the group provides enterprise-wide conduct functions, including the Ethics program, the Insider Threat program, enterprise investigations, and operational reporting, supporting the company in managing conduct-related issues. Swift is an experienced leader in compliance and financial crimes with more than 18 years helping guide financial institutions in developing, enhancing and remediating financial crime compliance programs. Before joining Wells Fargo, she held multiple leadership, consulting, and advisory positions, including serving in senior leadership roles focused on financial crimes and compliance with American Express and Enigma Technologies. She also served as Assistant District Attorney of New York in the Identity Theft Unit where she helped establish a team of prosecutors with expertise in, and responsibility for, prosecution of major cases of identity theft and cyber-crime. Swift is based in New York City and is the Founder and Executive Director of Stand Together Against Trafficking, Inc. (STAT), a non-profit organization that leverages technology and data concepts to share collaborative intelligence on financial indicators of human trafficking. She also serves on the Board of Directors for Polaris, the leading anti-human trafficking, non-profit organization, which is responsible for operating the U.S. National Human Trafficking Hotline, and deploying data-driven strategy across the industry. She holds a Juris Doctor from Pace University School of Law and a Bachelors of Arts in English from the University of Miami.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.001
Scholarly communication0.0070.007
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0470.019

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.273
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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