Social and Behavioral Sciences Commons^™

Settlement As Construct: Defining And Counting Party Resolution In Federal District Court, Charlotte S. Alexander, Nathan Dahlberg, Anne M. Tucker

Northwestern University Law Review

Most civil cases settle. Yet generating a definitive settlement rate presents complex definitional and empirical problems, both in what should count as a settlement and how to count it. This Essay makes three contributions to better understanding and defining settlement. First, we propose a flexible, empirically informed, operationalizable definition of settlement as party resolution. Second, we exploit a new federal litigation data source to count party resolutions using machine learning models trained on 11 million docket sheet entries. Third, we offer new findings on party resolution frequency and distribution in the federal courts. Settlement is more widely and differently deployed …

Prosecutorial Data Transparency And Data Justice, Caitlin Glass, Kat M. Albrecht, Perry Moriearty

Northwestern University Law Review

The U.S. criminal legal system is notoriously racialized. Though Black and Latinx people make up less than 30% of U.S. residents, they constitute more than 50% of the nearly two million people currently in U.S. prisons and jails. For decades, research has indicated that one group of decision-makers has had an outsized influence on these numbers: prosecutors. From whom to charge to what sentences to recommend, no actor plays a greater role in determining who goes to prison in this country. Highly subjective and lacking in formal guidance and accountability, prosecutorial decisions are especially vulnerable to racial bias. They are …

Lawyerless Litigants, Filing Fees, Transaction Costs, And The Federal Courts: Learning From Scales, Judith Resnik, Henry Wu, Jenn Dikler, David T. Wong, Romina Lilollari, Claire Stobb, Elizabeth Beling, Avital Fried, Anna Selbrede, Jack Sollows, Mikael Tessema, Julia Udell

Northwestern University Law Review

Two Latin phrases describing litigants—pro se (for oneself) and in forma pauperis (IFP, as a poor person)—prompt this inquiry into the relationship between self-representation and requests for filing fee waivers. We sketch the governing legal principles for people seeking relief in the federal courts, the sources of income of the federal judiciary, the differing regimes to which Congress has subjected incarcerated and nonincarcerated people filing civil lawsuits, and analyses enabled by SCALES, a newly available database that coded 2016 and 2017 federal court docket sheets. This Essay’s account of what can be learned and of the data gaps demonstrates the …

Assessing Gtfs Accuracy, Gregory L. Newmark

Mineta Transportation Institute

The promised benefits of the General Transit Feed Specification (GTFS) Schedule and Realtime standards are dependent on the underlying quality of the data. Despite this fundamental reliance, there has been relatively little research on techniques and strategies to assess GTFS accuracy. The need for such assessment is growing as federal and state governments increasingly require transit agencies to make these data available to the public. This research fills this gap by presenting a suite of methods and metrics to assess the temporal accuracy of GTFS Realtime and the spatial accuracy of GTFS Schedule feeds. The temporal assessment demonstrates an approach …

Identifying Rural Health Clinics Within The Transformed Medicaid Statistical Information System (T-Msis) Analytic Files, Katherine Ahrens Mph, Phd, Zachariah Croll, Yvonne Jonk Phd, John Gale Ms, Heidi O'Connor Ms

Rural Health Clinics

Researchers at the Maine Rural Health Research Center describe a methodology for identifying Rural Health Clinic encounters within the Medicaid claims data using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files.

Background: There is limited information on the extent to which Rural Health Clinics (RHC) provide pediatric and pregnancy-related services to individuals enrolled in state Medicaid/CHIP programs. In part this is because methods to identify RHC encounters within Medicaid claims data are outdated.

Methods: We used a 100% sample of the 2018 Medicaid Demographic and Eligibility and Other Services Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files for 20 states …