Digital Commons Network^™

Required Learning, Voluntary Service: A Critical Look At Mandatory Cle And Pro Bono Options, Rima Sirota

Georgetown Law Faculty Publications and Other Works

This chapter critically examines the intersection of mandatory continuing legal education (MCLE) and pro bono service in the United States, focusing on the growing practice of awarding MCLE credits for pro bono work. It argues that MCLE, widely justified as promoting lawyer competence, rests on a striking lack of empirical support and is structured in ways that undermine effective professional learning. A pro bono option for earning MCLE credit, introduced as an incentive to expand access to justice, has similarly failed to demonstrate measurable impacts on pro bono participation. Nonetheless, the pro bono option holds untapped potential because, if properly …

Broken Lands And Trusts: The Omnipresence Of The Natives’ Land Act Of 1913 And The Persistence Of Its Inequity, Emily Venkatesan

Emory International Law Review

The hallmark of all colonial and ex-colonial states is the preservation of racial hierarchy where a minority of white colonizers reserve complete control over the political, social, and economic landscape of a colonized nation. One of the most powerful exercises of this colonial oversight is the use of western property law to strip native landowners of their property interests and redistribute that land to white colonizer for economic and social power. Access and ownership of land is crucial for maintaining the colonial state. Land provides social and economic leverage in the hands of the indigenous nation, but strengthens the colonial …

Gamification: The Viability Of Using Genai To Create Games To Teach Legal Concepts, Nicole Belbin

Faculty Scholarship

This Essay examines whether generative artificial intelligence (GenAI) can lower the technical, time, and cost barriers that have limited the use of game-based learning (GBL) in legal education. It first considers the science of learning, focusing on spaced practice, retrieval practice, and concrete examples, and explains how GBL can incorporate these strategies. It then evaluates four general-purpose GenAI tools—Perplexity, Gemini, ChatGPT, and Claude—by testing their ability to state legal rules accurately and create games that teach personal jurisdiction.

The results demonstrate both GenAI’s promise and its limitations. Although all four tools incorporated core concepts of general jurisdiction, each omitted at …

Peeking Inside The Black Box: Discovery In Fair Housing Act Cases Arising From Ai Decision Making, Jessica Mahon Scoles

Faculty Scholarship

In today’s real estate market, more housing decisions are being automated. If artificial intelligence renders a biased decision, will the person impacted have any legal recourse? Commentators have expressed concern that the proprietary nature of AI will allow defendants in discrimination lawsuits to avoid discovery, effectively shielding their decision making from judicial scrutiny. This article examines whether AI and algorithm-related information is the discovery black box that some fear it to be.

Addressing the issue in the context of Fair Housing Act (FHA) litigation, the article argues that concerns about access to AI and algorithm-related discovery are overstated. In real …

Preparing The Professional: Selected Uses Of Digital Audio Workstations In Applied Tuba Studios, Reid Timothy Cox

Graduate Theses, Dissertations, and Problem Reports (ETD)

The modern music job market calls for musicians to cultivate and engage with a diverse range of area interests and skillsets. Collegiate music programs provide opportunities to prepare students professionally, yet programs have traditionally fallen behind changes in the job market. One way that music faculty within higher education can help prepare students to succeed after graduation is by teaching students to engage with digital audio workstations, also known as DAWs. Using DAWs, students can gain new practice tools, as well as learn skills that are helpful in a number of musical careers. This is of particular use to the …

Congolese Journalists: Professional Identity And Legitimacy, Hannah L. Heiskell

Graduate Theses, Dissertations, and Problem Reports (ETD)

This paper examines how Congolese journalists construct their professional identity

and legitimacy while working under conditions of conflict and state pressure, and how

international media outlets discursively represent them through Western journalistic norms.

Addressing previous research and centering local perspectives, this study uses critical

discourse analysis to compare language, framing, and narratives across Congolese and

international media texts, and the works in which they produce. Attention is given to how

agency, professionalism, and constraint are represented within each discourse. The analysis

focuses on metajournalistic discourse, or journalism talking about journalism, to examine

how professional norms and boundaries are articulated and …

A Comprehensive Survey On Facial Expression Generation: From Gans To Llm-Guided Multimodal Models, Murad Hasan, Rabab Abdelfattah, Kareem Abdelfatah, Mostafa Fouda, Ahmed Sherif

Faculty Publications

Facial expression generation (FEG) has emerged as a vital area in human–computer interaction, virtual avatars, and affective computing, aiming to synthesize natural and expressive facial behaviors across diverse interaction contexts. This survey presents a comprehensive analysis of recent advances in FEG, organized into six key paradigms: speech-driven expression generation, facial reaction generation, face video generation, facial animation, avatar-based generation, and text-driven expression generation. We review a wide range of model architectures, including VQ-VAEs, Generative Adversarial Networks (GANs), 3D Morphable Models (3DMMs), Transformers, and diffusion-based approaches, and compare their performance using commonly adopted evaluation metrics such as Fréchet Distance (FD), Peak …

Three Essays On Urban Transportation, Daniel Amorim Souza Centuriao

Graduate Theses, Dissertations, and Problem Reports (ETD)

Urban environments are shaped by dynamic interactions between infrastructure development, policy interventions, and episodic demand shocks, all of which can generate unintended externalities in the form of motor vehicle collisions, injuries, and fatalities. This dissertation investigates the determinants of traffic safety in dense urban settings, with a particular focus on how different sources of urban activity affect collision risk and severity. Using New York City as a case study and leveraging high-resolution spatial and temporal data, I examine three distinct but interconnected mechanisms: construction activity, traffic safety policies, and large-scale events.

The first chapter analyzes the impact of urban development, …

Evaluation Of Brook Trout (Salvelinus Fontinalis) Thermal Tolerance And Projected Climate Change Effects On Headwater Brook Trout Population Persistence, Cory Bauerlien

Graduate Theses, Dissertations, and Problem Reports (ETD)

Climate change has been identified as one of the greatest threats to global biota in recorded human history. Consequences are expected to be more pronounced in ectotherms because most of their physiology is controlled by external temperature conditions. Predicting how ectotherms may respond to increasing global temperatures necessitates information about thermal limits of thermal sensitive species and how increasing temperatures may affect individual and population-level fitness. Therefore, the objectives of this research were aimed at gaining a better understanding of the mechanisms that underpin thermal tolerance limits of fish and how those mechanisms may affect fitness and population persistence under …

Sharenting And Child Rights In The Age Of Platform Capitalism, Christiana Essie Sagay, Unyime Abasi Odong

Case Western Reserve Journal of International Law

The boundaries between private life, work, and visibility have become increasingly blurred in the digital age. Nowhere is this more evident than in the phenomenon of sharenting, a portmanteau of “sharing” and “parenting,” where parents routinely post images, videos, and personal narratives of their children on social media platforms. While often framed as acts of familial affection or digital memory-keeping, sharenting implicates commercial content creation and positions children as de facto participants in global digital labor markets. In this context, childhood increasingly unfolds within algorithmic and economic contexts that transcend domestic boundaries and challenge conventional legal norms, protections, and understandings …

Seizing Responsibility: International Investment Law's Shifting Understanding Of Jurisdiction In Occupied And Annexed Territory, Lena Raxter

Case Western Reserve Journal of International Law

Following Russia’s 2014 occupation and annexation of Crimea, Ukraine pursued the unusual strategy of encouraging its nationals to file investment claims against Russia under the 1998 bilateral investment treaty between Russia and Ukraine. The resulting “Crimea arbitrations” consistently upheld jurisdiction, reasoning that Russia’s effective control over Crimea resulted in the assumption of legal obligations in the region. Many scholars, however, contend that this conclusion was incorrect because the disputes were outside the respective tribunals’ jurisdiction. The resulting fragmentation begs the question: how can international investment law reconcile these competing positions?

In the interest of promoting stability and consistency in international …

Bridging Divides, Building Futures: Affirmative Action From A Global Perspective, Irene Rhodes

Case Western Reserve Journal of International Law

Affirmative action in higher education has long been central to U.S. constitutional debate, but the Supreme Court’s decision in Students for Fair Admissions v. Harvard (SFFA) ended race-conscious admissions. This Article uses a comparative framework to examine how Canada, the United Kingdom, Brazil, and India reconcile equality, diversity, and meritocracy. Common law systems emphasize incremental positive action, while Brazil and India employ quota-based statutory models. These contrasts reveal that effective diversity policies must align with constitutional traditions. For the United States, durable reforms should include race-neutral socioeconomic indices, statutory authorizations, and programmatic supports with built-in review mechanisms. By drawing on …

The Unspeakable Unspoken: Terrorist Imagery, Symbolic Expression And The Shifting Boundaries Of Free Speech, Ayşe Yağmur Tunçak

Case Western Reserve Journal of International Law

A simple fruit like a watermelon can convey many meanings: solidarity for some, terrorism sympathies for others. Among other things, increasing restrictions on speech drive individuals to the use of symbols for political expression, which may lead to legal controversies at the international level due to the untended complexity of symbolic speech in legal discussions. Unlike verbal communication, the meaning and communicative content of symbols are often indirect and open to interpretation. Thus, international human rights standards should rely on context-sensitive evaluations to prevent arbitrary limitations. Although the European Court of Human Rights (ECtHR), due to its subsidiary role, assumes …

Institutional Authority Without Ratification: Rethinking International Organizations’ Governance In The Post-Treaty Era, Izadora Coutinho

Case Western Reserve Journal of International Law

This Article examines the growing normative authority exercised by international organizations through informal governance mechanisms that operate without treaty ratification or formal consent. It argues that international law is undergoing structural transformation: global standards increasingly emerge from flexible, network-based arrangements rather than negotiated treaties. Using the OECD/G20 Global Anti-Base Erosion (GloBE) Rules as a case study, this Article illustrates how nonbinding instruments can generate de facto binding effects. Their adoption by numerous jurisdictions reflects systemic incentives, reputational pressures, and tax base erosion threats. While such mechanisms enhance flexibility and responsiveness, they also raise significant concerns about legitimacy, sovereignty, and accountability. …

Talking Foreign Policy: "Turning Points And Paradigm Shifts In U.S. Foreign Policy" June 23, 2025 Broadcast, Talking Foreign Policy

Case Western Reserve Journal of International Law

No abstract provided.

Gorsuch’S Dissent And The Current State Of Navajo Water Rights Claims, William Clark

Utah Law Review

Water rights have been a key feature of the Navajo Nation’s relationship with the United States. Since the time the Navajo were forcibly removed to the Bosque Redondo in the 1860s, the Tribe has fought for sufficient access to water. A key, but unfortunate, moment in this dispute came when the United States Supreme Court, in Arizona v. Navajo Nation, determined that the 1868 treaty between the United States and the Navajo Nation did not require the United States to take steps to secure water for the Tribe. The Navajo Nation is now on the cusp of settling its Colorado …

Adherence And Compliance With Exercise Training In Progressive Multiple Sclerosis: Rates And Correlates From The Cogex Trial, Cogex Research Team, Robert W. Motl, Andrew Argie, Roberto S. Hernandez, Brian M. Sandroff, Maria Pia Amato, Giampaolo Brichetto, Jeremy Chataway, Nancy D. Chiaravalloti, Gary Cutter, Ulrik Dalgas, John Deluca, Rachel Farrell, Peter Feys, Massimo Filippi, Jennifer Freeman, Matilde Inglese, Cecilia Meza, Maria A. Rocca, Amber Salter, Anthony Feinstein

School of Health Professions

Background: There is limited understanding of adherence and compliance rates for exercise training(ET) in people with progressive multiple sclerosis(PMS).Objectives: This secondary, exploratory data analysis examined rates of adherence and compliance for continuous, moderate intensity training and high-intensity intervaltraining(HIIT) and possible correlates among people with PMS from the CogEx trial.Methods: CogEx was a multi-site, multi-arm, randomized, double-blinded, and shamcontrolled trial undertaken by 11 sites in six di8erent countries. Participants(N=311) wererandomized into one of four conditions with di8erent combinations of ET and cognitive rehabilitation, including respective sham conditions, delivered twice weekly over 12 weeks.The analysis focused on adherence and compliance rates and …

Large-Scale Coastal Dynamics: New Incites From Lidar And Satellite Remote Sensing, Aikaterini Konstantinou

School of Biological and Marine Sciences Theses

This thesis leverages remote sensing methods to advance understanding of shoreline morphodynamics from storm to decadal timescales, focusing on three interrelated objectives. First, regional patterns and timescales of beach recovery following the extreme 2013/14 winter were quantified using bi-annual LiDAR and RTK-GNSS surveys of 23 south-west England sites. Recovery trajectories exhibited consistent patterns aligned with pre-existing storm response classifications, demonstrating that both storm response and post-storm recovery can be classified into four groups governed by intrinsic geomorphological and hydrodynamic controls. Almost 90% of sites had recovered at least 75% of lost sediment within three years, while some fully exposed beaches …

Prevalence And Incidence Of Heart Failure Phenotypes Among Transgender And Gender-Diverse Adults In The United States, Ian K. Everitt, Emily K. Quinn, Meredith S. Duncan, Chris Grasso, Sari L. Reisner, Guneet K. Jasuja, Tonia Poteat, Ayelet Shapira-Daniels, Howard Cabral, Vin Tangpricha, Michael K. Paasche-Orlow, Emelia J. Benjamin, Monica Mukherjee, Carl G. Streed

Biostatistics Faculty Publications

BACKGROUND: Prevalent and incident heart failure (HF) and its comorbidities have not been characterized in transgender and gender-diverse (TGD) populations. This study determines the prevalence and incidence of HF phenotypes by gender identity. METHODS: A retrospective cohort analysis was performed using deidentified administrative claims from the Optum Labs Data Warehouse (2006-2022). TGD adults and a sample of demographically similar cisgender comparators were identified using a validated algorithm, and gender identity was categorized as cisgender man, cisgender woman, transmasculine, transfeminine, or unclassified TGD. Prevalent and incident HF, including systolic, diastolic, and unclassified phenotypes, were assessed using diagnosis codes. Multivariable logistic and …

Catwalk Xt Enables Sensitive Detection Of Locomotor Deficits After C2 Hemisection And Integrates Readily Into Ongoing Experimental Workflows In Adult Female Rats, Aaron L. Silverstein, Christopher M. Calulot, Christopher J. Mclouth, John C. Gensel, Warren J. Alilain

Biostatistics Faculty Publications

Over half of all spinal cord injuries (SCIs) in the United States occur at the cervical level and often cause both life-threatening breathing dysfunction and profound locomotor deficits. Although the C2 hemisection (C2Hx) model is vital for study of breathing dysfunction after experimental SCI, post-C2Hx locomotor deficits have only been assessed by metrics such as the Martínez Scale and ladder tests, which require time-intensive scoring by human observers. However, the CatWalk XT Gait Analysis system (Noldus Information Technology) delivers automated, quantitative assessment of interlimb coordination, gait cycle, and paw function, providing robust locomotor data in a time-efficient and practical manner. …

Integration Of Community-Engaged Research Technology And Methods To Guide Tobacco Regulatory Science In Rural Communities, Melissa H. Abadi, Stephen R. Shamblen, Mary Kay Rayens, Kirsten T. Thompson, Amy Wildman, Kathy Rademacher, William Wieczorek, Raphael Nishimura, Shyanika W. Rose, Mikhail N. Koffarnus, Seth Himelhoch, Ellen J. Hahn

Biostatistics Faculty Publications

Objective – This study aims to build a rural Appalachian cohort to examine how US Food and Drug Administration (FDA) Center for Tobacco Products (CTP) regulatory policies influence tobacco and nicotine product use across levels of rurality. Methods – The AppalTRUST (Appalachian Tobacco Regulatory Science Team) Cohort integrates four inter-connected Community-engaged Research + Technology (CEnRT) elements to support recruitment and retention: (1) building trust and cultural relevance; (2) addressing barriers to participation in research; (3) focusing on ethics and confidentiality; and (4) fostering ongoing and consistent collaboration between the scientific and field teams. The study uses a dual sampling design …

Rethinking Team Science Metrics Through Collaborative Guideposts, Kristen J. Mcquerry, Kelsey Karnik, Megan E. Hall, Caitline Phan, Yana Feygin, Emily Slade

Biostatistics Faculty Publications

Introduction – The increasing reliance on interdisciplinary and transdisciplinary teams has reshaped how science is conducted, yet evaluating the success of such teams remains a persistent challenge. Traditional metrics, such as publication counts, impact factors, and citation indices, fail to capture the full scope of team contributions, particularly in contexts where success may be defined by community engagement, mentorship, or long-term collaboration. Methods – In this Perspective, we introduce Collaborative Guideposts, a framework designed to align success metrics with a team’s organizing priorities. We illustrate this approach through two contrasting team models from a biostatistical collaboration center: Team A, a …

The Influence Of Support From Family, Friends, And Community On Perceived Mental Health Status In Diabetes, Courtney L. Ortz, Meredith S. Duncan, Oluwatosin Leshi, Suraksha Khanal, Brittany Smalls

Biostatistics Faculty Publications

Strong social support is a protective factor in diabetes and mental health management. The purpose of this study was to examine the influence of the type of support on perceived mental health status among people with diabetes. We used data from the 2021 Household Component of the Medical Expenditure Survey (MEPS). Regression models assessed the association between mental well-being (outcome) and expected help from family, friends, and the community (exposure). Support from both friends and family were significantly associated with better mental well-being, adjusting for covariates. Secondary analyses showed that those who reported greater anticipated support from family were more …

The Importance Of Sample Timing And Independence For Typha Species Identification, Sydney Aird

Honors Program Theses

Wetlands are essential ecosystems, playing major roles in nutrient cycling, water filtering, and erosion control, and providing important habitats for countless organisms. However, invasive species threaten their functions. One key invasive species in the Midwestern United States is Typha x glauca, a cattail species hybridized from the native T. latifolia and the invasive T. angustifolia. T. x glauca is visually intermediate between its parent species, making it difficult to identify and effectively manage. Ohsowski et al. (2024) presented a model to identify species, but due to its limited sample size (n = 33) and a high number of traits (14), …

Digital Lover: Insecure Attachment Styles And Romantic Parasocial Relationship Among Chinese Female Otome Game Playersdigital Lover: Insecure Attachement Styles And Romantic Parasocial Relationship Among Chinese Female Otome Game Players, Weifan (Kyrie) Zhang M.S.

Selected Full Text Dissertations, 2011-

The existing literature has explored the relationship between insecure attachment styles and parasocial relationships, particularly focusing on traditional media such as television. However, it has largely overlooked the novel form of media represented by contemporary Chinese otome games, which offer an idealized digital environment potentially more appealing to players with insecure attachment styles. Moreover, previous studies have not sufficiently differentiated between general parasocial interactions and the specific nuances of parasocial romantic relationships unique to romantic video games (RVGs). This study seeks to bridge these gaps by examining the psychological underpinnings of Chinese female players' engagement with female-oriented romantic video games. …

Flood Risk Prediction System For Irish River Networks, Fernando Adalberto Naatz Heringer, Hugo Rodrigues De Freitas

ICT

Flooding costs the Irish economy more than 300 million euros annually; however, the hydrometric and meteorological data needed to predict dangerous river rises is already collected and freely available. This project applies machine learning to a decade of hourly observations from OPW Station 09001 on the River Liffey at Leixlip and Met Eireann Casement Aerodrome to build a flood risk prediction system with a 72-hour forecast horizon.

A two-phase modelling pipeline was built following the CRISP-DM framework. Phase 1 compared LSTM and GRU recurrent neural networks on the task of forecasting the river level in metres 72 hours ahead. LSTM …

A Comparative Analysis Of Supervised Machine Learning Techniques For Predicting It Incident Resolution Time, Ammad Hussain, Hussnain Yaqoob

ICT

IT support teams are facing the persistent challenge in estimating how long an incident will take to resolve. The lack of reliable predictions, planning decisions around staffing, escalation and user communication are largely guesswork. This project set out to address that gap by building a machine learning solution capable of predicting incident resolution time from details available at the point a ticket is logged.

Using the UCI IT Incident Event Log dataset, which contains 141,712 records from a real service management system, the project followed the CRISP-DM framework across six phases from business understanding through to deployment. After thorough data …

A Comprehensive Study Of Sarima And Xgboost Models For Short-Term Traffic Volume Forecasting At A Melbourne Intersection (Victoria), Australia, Douglas Vinicius Dierings, Felipe Fontanive Marques

ICT

Traffic congestion is an increasing challenge in modern cities, impacting transportation efficiency and urban sustainability. This project focuses on short-term traffic volume forecasting, using 15-minute Sydney Coordinated Adaptive Traffic System (SCATS) data collected from the State of Victoria, Australia. The study compares two forecasting approaches: SARIMA, a statistical time-series model, and XGBoost, a decision-tree machine-learning model. Historical traffic data from 2022 to 2024 was analysed to identify traffic patterns, seasonal trends, and peak traffic periods. The models were evaluated for their effectiveness in handling urban traffic behaviour. The results of this study aim to support smarter traffic management, infrastructure planning, …

Machine Learning For Early Obesity Risk Prediction, Giuseppe Cutugno

ICT

Obesity is a major global public health concern, with significant implications for individual health, healthcare systems, and wider economic outcomes. Early identification of obesity risk can support preventive strategies and encourage healthier lifestyle choices before health conditions become more severe. This project develops a machine learning framework for estimating obesity levels using data relating to individuals’ physical characteristics, eating habits, lifestyle behaviours, and demographic factors. Following the CRISP-DM framework, the project examines the structure and limitations of the dataset, including its mixture of objective measurements, survey-based variables, and synthetically generated observations. Two modelling approaches are considered, one including BMI as …

Predicting The Next Recession With Machine Learning, David Heffernan

ICT

Economic recessions can have significant consequences for businesses, households, financial markets, and policymakers, creating a need for improved understanding of the factors associated with economic downturns. This project analyses historical US economic and financial data to examine patterns associated with previous recessionary periods and assess whether machine learning can be used to identify recession risk. The study uses a two-tier analytical approach, combining a macroeconomic dataset covering 1960 to the present with a more detailed dataset from 1987 onwards that incorporates financial markets, house prices, and consumer confidence. Building on previous exploratory analysis, the project develops and evaluates three machine …