Digital Commons Network^™

Teaching Firearms Law: One Big Opportunity And Three Pedagogical Challenges, Joseph Blocher, Jacob D. Charles, Darrell A.H. Miller

Faculty Scholarship

The U.S. Supreme Court’s groundbreaking 2008 decision in District of Columbia v. Heller ushered in a new era for the Second Amendment: one in which the right to keep and bear arms, long dormant as a matter of practical impact and even “embarrassing” as a matter of legal scholarship, vaulted into the front ranks of constitutional law. The Court itself has only revisited the Amendment a few times since then—albeit once by revolutionizing the doctrine. Meanwhile, lower courts have issued thousands of decisions giving shape to the right, while scholars have generated work that is increasingly deep, diverse, and challenging. …

Cost–Benefit Analysis, Matthew D. Adler

Faculty Scholarship

This chapter will address the place of cost–benefit analysis (CBA) in constitutional law, by way of a case study. I’ll describe, and puzzle over, CBA’s absence from most U.S. constitutional doctrines, notwithstanding its major role in U.S. administrative law. The general questions that I seek to illuminate are by no means limited to the U.S. How might CBA figure within the tests that constitutional courts use to adjudicate alleged violations of constitutional rights? How might it serve to determine the structure of constitutional institutions? Would it be justified for CBA to play these doctrinal roles? But these general questions are …

Artificial Intelligence And Procedural Due Process, Brandon L. Garrett

Faculty Scholarship

Artificial intelligence (AI) violates procedural due process rights if the government uses it to deprive people of life, liberty, and property without adequate notice or an opportunity to be heard. A wide range of government agencies deploy AI systems, including in courts, law enforcement, public benefits administration, and national security. If the government refuses to disclose the reasons why it denied a person bail, public benefits, or immigration status, serious due process concerns arise. If the government delegates such tasks to an AI system, the due process analysis does not change. One asks whether a person received adequate notice and …

Money: A Functional Analysis, Steven L. Schwarcz

Faculty Scholarship

Most people currently think of money as government-issued paper certificates or coins that specify units of currency, such as dollars or euros. The advent of digital currencies, which appear abstract because of their intangibility, is therefore confounding almost everyone.

This Article argues that money should also be viewed functionally—as a “right” that serves one or more of the generally accepted functions of money. The Article focuses on two of money’s most generally accepted functions: to serve as a medium of exchange to facilitate the sale of goods and services, and to serve as a store of value. To perform these …

Augmenting, Not Replacing: The Role Of Llms In Human-Centric Formal Re: Supplemental Material, Sonora Halili, Paola Spoletini, Alicia M. Grubb

Computer Science: Faculty Publications

This repository contains the supplemental information for the RE'25 paper entitled "Augmenting, Not Replacing: The Role of LLMs in Human-Centric Formal RE" and the Smith College Departmental Honors Thesis entitled "The LTL Whisperer: Prompting AI to Explain Temporal Logic: Supplemental Information". This work investigates how and to what extent generative AI with large language models (LLMs) can assist practitioners and novices in interpreting formal requirements expressed in Linear Temporal Logic (LTL).

The Solicitor General, Consistency, And Credibility, Margaret H. Lemos, Deborah A. Widiss

Faculty Scholarship

This Article offers the first comprehensive look at cases in which the Solicitor General (SG) rejects a legal argument offered on behalf of the United States in prior litigation. Such reversals have received considerable attention in recent years, as shifts in presidential administrations have produced multiple high-profile “flip-flops”—as the Justices sometimes call them—by the SG. Even those observers who defend the SG, including veterans of the office, caution that inconsistency in legal argument poses a threat to the SG’s credibility with the Court. Our goal is to better understand the circumstances that lead the SG to change its position on …

The Credit Markets Go Dark, Jared A. Ellias, Elisabeth De Fontenay

Faculty Scholarship

Over the past generation, conflicting trends have reshaped the ownership of corporate equity on the one hand and corporate debt on the other. In equity, the two great trends have been the shift from public markets to private ownership and the consolidation of American companies’ stock in the hands of powerful investment funds. In debt, by contrast, the great trends have been a shift from private loans to quasi-public markets and dispersed ownership.

In this Article, we chronicle the recent and dramatic reversal of these trends in the debt markets. Private investment funds executing a “private credit” strategy have become …

Bankruptcy Appeal Barriers, Jonathan M. Seymour

Faculty Scholarship

Appeals in bankruptcy do not look like appeals elsewhere in the federal court system. In particular, bankruptcy appeal barriers are strikingly distinctive. These barriers serve outright to block an appeal from being decided. An appellate court may dismiss an appeal, rather than consider the merits, if facts on the ground have changed so much since the original decision that providing a remedy to an appellant, even if victorious, would not be prudent. Take ongoing litigation in the Boy Scouts bankruptcy case. A plan of reorganization was confirmed fixing the entitlements of victims to compensation. Dissenting creditors argued bitterly the plan …

History And Tradition As Heightened Scrutiny, Andrew Willinger

Faculty Scholarship

The Supreme Court is turning to methodologies privileging text, history, and tradition, or THT, to interpret and implement various constitutional provisions. The Court has recently endorsed historically-focused approaches to determine how the Second Amendment protects the right to keep and carry a firearm, how the First Amendment protects the rights to free speech and freedom of religion, and whether the Due Process Clause protects reproductive autonomy, among other questions.

Much scholarship and popular commentary surrounding THT portrays the methodology as sui generis: presenting unique analytical challenges and impervious to direct comparison to existing doctrinal approaches. However, the jurist most …

Shareholder Litigation In Delaware: An Empirical Investigation, James D. Cox, Randall S. Thomas, Lynn Bai

Faculty Scholarship

The empirical study of shareholder litigation in state courts is a seriously underexamined subject. To remedy this gap, we collected data on all 4,741 fiduciary duty complaints filed in the Delaware Court of Chancery over a sixteen-year period, from January 1, 2004, to December 31, 2019. After removing the duplicative cases consolidated into a lead complaint, the number of unique complaints was reduced to 2,958 in our dataset. In our coding, we examined over one hundred variables (with many variables being further subdivided into as many as eight subvariables) for each of these cases, including information about the parties, claims, …

A Critique Of Findings On Gun Ownership, Use, And Imagined Use From The 2021 National Firearms Survey: Response To William English, Deborah Azraek, Joseph Blocher, Philip J. Cook, David Hemenway, Matthew Miller

Faculty Scholarship

For a paper that has not yet been through peer review or even been formally published, William English’s “2021 National Firearms Survey” has been remarkably prominent in gun rights advocacy and scholarship. As of December 2024, it has been cited in roughly sixty-five briefs, invoked at oral argument in the Supreme Court and multiple courts of appeals, and regularly cited in public writings and published academic work.

This response is offered in the spirit of a peer review. Our focus is on methodological issues, questionable statistical results, and problematic conclusions. Because of serious methodological issues, English’s draft fails to provide …

The Invention Of The Judicial Administrative State, Marin K. Levy

Faculty Scholarship

No abstract provided.

Defining The Field Of Judicial Administration, Marin K. Levy

Faculty Scholarship

This Keynote address, as part of a symposium on "Theorizing the Judicial Process," aims to make a case for the field of judicial administration and to define the field more generally. Specifically, it seeks to raise the organizing questions of the field and to note the kind of work--descriptive, empirical, and theoretical--that is needed to answer them. The hope is to map out a collective research agenda for courts scholars to pursue into the future for the benefit of the academy and judiciary, both.

Rethinking Behavior - Winter 2025, Midwest Symposium For Leadership In Behavior Disorders

ReThinking Behavior Magazine

A magazine for professionals serving children and youth with behavioral needs.

Winter 2025, Volume 8, Issue 2

Meta-Learning Approaches For Causal Discovery In Dynamic Healthcare And Robotics Environments, Hayder Abbood Md Facp

Mesopotamian Journal of Artificial Intelligence in Healthcare

Healthcare and robotics dynamic task domains are also known to be both complex and time-varying systems where reasoning about causal links are important for making reliable decisions. But causal structures in these domains are difficult to ascertain with limited data, distribution shifts, and changing environments. Meta-learning (or learning to learn) is a promising approach to combating these two obstacles by learning from experience across tasks to quickly adapt to new task environments. In this paper we provide a new framework that combines ideas from meta-learning and causal discovery, whose objective is to discover the underlying cause effect relationships in sequential, …

Distance Metric Learning Techniques For The Performance Improvement Of Ml-Knn And Ranking-Svm-Based Multi-Label Pattern Classification, Shajee Mohan B. S., Sneha S Mohan

ASEAN Journal on Science and Technology for Development

A multi-label pattern classification system tries to predict the set of class labels of a test example by learning from the training examples with the relevant label sets. Classification that involve datasets having multiple labels found immense of applications in pattern analysis tasks involving image, music and video. A test sample can be labeled to indicate different objects, people, music categories or concepts. Classification problems involving data having multiple labels, have to consider training dataset associated with variety of labels. Multi-label extensions of popular algorithms, kNN and Support Vector Machine (SVM) called Multi-label kNN (ML-kNN) and Ranking-SVM are commonly used …

Analysis Of Sea Level Rise In The Subduction Zone At The Coastal Area Of Selaru Island And Yamdena Island In Tanimbar Islands District, Ibnu A. Azies, Engki A. Kisnarti, Johar Setiyadi, Widodo S. Pranowo

ASEAN Journal on Science and Technology for Development

The phenomenon of sea level rise (SLR) is a global issue affecting coastal areas. This study analyzes SLR and land deformation in the subduction zone of the Tanimbar Islands, specifically the coastal regions of Adaut on Selaru Island and Saumlaki on Yamdena Island. Statistical methods and the CEEMDAN algorithm were used to process data on tides, Sea Level Anomaly (SLA), Sea Surface Temperature (SST), and the influence of the El Niño-Southern Oscillation (ENSO) over 30 years (1993–2022). Additionally, land deformation was analyzed using Sentinel-1A imagery. The results indicate that uplift is more dominant than subsidence, with an average annual uplift …

Numerical Modeling Of Performance And Phenomena In A Single Proton Exchange Membrane Fuel Cell, Doan Nguyen Cong, Hiep Nguyen Ha

ASEAN Journal on Science and Technology for Development

One of the methods to protect our environment is to convert the fuel's chemical energy directly into electricity, bypassing the fuel's combustion process. This method is implemented in devices called fuel cells. Among them, the proton exchange membrane fuel cell (PEMFC) is widely used in practice because it has outstanding advantages such as high power density and efficiency, low operating temperature and noise, compactness, fast start-up, and, most importantly, only releases water, entirely safe for the environment. The paper presents a method for selecting materials for manufacturing PEMFC components, making a single PEMFC model based on the materials chosen, then …

Super-Dicta, Courtney M. Cox

Faculty Scholarship

A weird thing happens when a conscientious, rational judge lacks certainty and has the humility to know it: she will often decide cases for reasons that differ from the reasons in her opinions. To illustrate, suppose she thinks it’s 50/50 whether Defendant’s copying infringed or was fair use. She could rationally flip a coin. But if she does, and she finds for Defendant, it will not be because of fair use. Rather, it will be because she thought it was 50/50 whether the copying was fair use—and the coin landed tails.

Coin-flip cases are rare, but uncertainty is not. There …

Novel Sex Work Anti-Discrimination Protections, Chi Adanna Mgbako, Christine Eldabh, Katie Falk, Emma Pennie

Faculty Scholarship

Sex workers throughout the world experience ubiquitous and acute discrimination in every facet of their lives due to deeprooted stigma. Societal fear and hatred of sex workers often lead to their exclusion from healthcare services, financial institutions, and accessible housing, as well as their marginalization by the carceral state, family law systems, media, and politicians. Between 2022 and 2024, the Australian jurisdictions of the Northern Territory, Queensland, and Victoria passed groundbreaking legislation codifying novel anti-discrimination protections for sex workers. These laws are the first in the world to explicitly protect sex workers against discrimination in accommodation, employment, government services, and …

Death And Debts, Kevin Bennardo

Faculty Publications

This Article analyzes how inheritance law treats debts owed to and by a decedent, focusing on the Uniform Probate Code’s treatment of unpaid purchase-price balances associated with specifically devised property. While UPC §2‑606(a)(1) automatically gives the outstanding balance to the specific devisee, the Article argues that this rule is inconsistent with modern intent‑based ademption doctrine and with the Code’s treatment of debts owed by the estate. It contends that only outstanding balances secured by the devised asset reflect a meaningful connection to the testator’s likely intent. Unsecured balances, by contrast, should not automatically avoid ademption. The Article proposes amending the …

Leveraging Artificial Intelligent For Optimized Crop Production: An Ann-Based Approach, Yahya Layth Khaleel, Fadya A. Habeeb, Mustafa Abdulfattah Habeeb, Fatimah N. Ameen

Mesopotamian Journal of Computer Science

To incite modern day crop production and ensure sustainability, exact crop recommendations are key to the process. This study pays significant attention to the need for the use of big data tools in studies involving comprehensive data sets that contain information on soil and other environmental characteristics. The set of data used in this research includes Nitrogen, Phosphorus, and Potassium content coordinated with Temperature, Humidity, pH Value, and Rainfall. Knowing these factors is to make a favorable decision about improving agricultural products yield, availability and management of the resources, as well as general well-being of the crops. Specialized advisory on …

Approach For Detecting Face Morphing Attacks Using Convolution Neural Network, Essa M. Namis, Khalid Shaker, Sufyan Al-Janabi

Mesopotamian Journal of Computer Science

The facial morphing method combines at least two images of the face to get a singular altered facial image that exposes the vulnerabilities of face recognition systems (FRS). The extensive implementation of face recognition algorithms, particularly in Automatic Border Control (ABC) systems, has raised apprehensions over potential threats, as modified passports present significant risks to national security. In this paper, a new face morphing attack detection approach has been proposed using two different datasets (StyleGAN and AMSL) for testing and validation. A new model for face morphing attack detection based on a special Convolutional Neural Networks (CNNs) architecture has been …

Enhancing Cybersecurity In Smart Education With Deep Learning And Computer Vision: A Survey, Guma Ali, Aziku Samuel, Maad M. Mijwil, Kholoud Al-Mahzoum, Malik Sallam, Ioannis Adamopoulos, Ayodeji Olalekan Salau, Indu Bala, Klodian Dhoska, Engin Melekoglu

Mesopotamian Journal of Computer Science

The rapid digital transformation of education, driven by the widespread adoption of smart devices and online platforms, has ushered in the era of smart education. While this shift enhances learning experiences, it also introduces significant cybersecurity risks that threaten the confidentiality, integrity, and availability of educational resources, student data, and institutional systems. This survey examines how deep learning (DL) and computer vision (CV) techniques can enhance cybersecurity in smart education environments. By reviewing 202 peer-reviewed research papers published between January 2022 and June 2025 across leading publishers such as ACM Digital Library, Frontiers, Wiley Online Library, IGI Global, Nature, Springer, …

Enhanced Iot Cyber-Attack Detection Using Grey Wolf Optimized Feature Selection And Adaptive Smote, Sura Abed Sarab Hussien, Mustafa S. Ibrahim Alsumaidaie, Nada Hussein M. Ali

Mesopotamian Journal of Computer Science

The Internet of Things (IoT) has significantly transformed modern systems through extensive connectivity but has also concurrently introduced considerable cybersecurity risks. Traditional rule-based methods are becoming increasingly insufficient in the face of evolving cyber threats.  This study proposes an enhanced methodology utilizing a hybrid machine-learning framework for IoT cyber-attack detection. The framework integrates a Grey Wolf Optimizer (GWO) for optimal feature selection, a customized synthetic minority oversampling technique (SMOTE) for data balancing, and a systematic approach to hyperparameter tuning of ensemble algorithms: Random Forest (RF), XGBoost, and CatBoost. Evaluations on the RT-IoT2022 dataset demonstrate that GWO reduces features from 32 …

Agentic Ai-Enhanced Virtual Reality For Adaptive Immersive Learning Environments, Indra Kishor, Udit Mamodiya, Mohammed Almaayah, Amer Alqutaish, Rami Shehab, Theyazn H. H. Aldhyani

Mesopotamian Journal of Computer Science

Immersive learning using Virtual Reality (VR) has gained prominence for delivering experiential, engaging education. However, most VR learning environments lack real-time adaptability, personalization, and cognitive responsiveness. This study presents an Agentic AI-enabled VR framework that autonomously adjusts pedagogical content, interaction style, and challenge level based on learner behavior, emotions, and performance feedback. The proposed system integrates a reinforcement learning-based agent with a virtual reality module to form an intelligent tutor capable of independent decision-making. A neuro-symbolic model processes multi-modal feedback (gesture, speech, gaze, performance) to determine context-aware pedagogical strategies. The system employs a self-evolving curriculum logic that adapts in real …

Cardiac Timing Effects On Response Speed Are Modulated By Blood Pressure But Not Heart Rate Variability In Healthy Young Adults, Xiao Yang, Catalina Roldan, Michael Gazzanigo, Yasmine Nabulsi, Fang Fang

Research and Infrastructure Service Enterprise (RISE) Faculty Publications

Cardiac timing effects reflect the dynamic interplay between interoceptive and exteroceptive processes. Human information processing tends to be facilitated during cardiac diastole and inhibited during systole, reflecting autonomic regulation and the neuromodulation by baroreceptor afferents. Thus, blood pressure (BP) and vagally-mediated heart rate variability (vmHRV) are potential modulators of those effects. Additionally, cognitive control appears to play a critical role in the processes. However, whether cardiac timing effects are influenced by those factors remains unclear. The present study aimed to clarify these relationships. Fifty-one healthy young adults completed three experimental sessions to assess BP, short-term HRV, and cardiac timing effects. …

Does Performance Change Budgets? Punctuated Equilibrium, Performance, And The Budget For Juvenile Justice In An American State, Elaine Yi Lu, Robert Hines, Katherine Willoughby

Publications and Research

How performance informs budgeting and budgets is contentious and unclear. Applying punctuated equilibrium theory, this research seeks to understand if performance information once placed on the media and macropolitical agendas can lead to long term budgetary shifts. This research highlights how the accumulation of performance information punctuated the funding scheme and created a new equilibrium over time.

This research uses mixed methods to study the impact of performance on Florida’s (USA) Department of Juvenile Justice (DJJ) over a 20-year period. First, we conduct a media review of 400 randomly sampled newspaper articles to characterize the media discourse around the DJJ …

Assessing The Predictive Validity Of The Network Inventory Of Risk, Victories, And Needs Assessment (Nirvana) For Youth Receiving Prevention Services., Michael T. Baglivio, Kevin T. Wolff, Katherine Jackowski

Publications and Research

The current study assesses the predictive validity of a newly-developed holistic risk/needs assessment for youth receiving prevention services. Employing a multiyear statewide sample of over 17,000 prevention youth, multivariate and Area Under Curve techniques are used to examine predictive validity in predicting future formal juvenile justice system involvement (new law violations) across sex, race/ethnicity, and multiple youth age ranges. Furthermore, predictive validity across the severity of the subsequent offense type (misdemeanor, non-violent felony, violent felony) was examined. Findings demonstrate large effect sizes for static risk only, dynamic risk only, and total risk plus protective scores on future offending. Sex and …

A Battle Of The Chatbots: An Exploratory Comparison Of Chatgpt, Gemini, Copilot, Claude, Perplexity And Huggingchat, Karen Okamoto

Publications and Research

This exploratory study compares the output of the free versions of six generative artificial intelligence (AI) chatbots—ChatGPT, Gemini, Copilot, Claude, Perplexity and HuggingChat. Five questions were submitted to all of the chatbots and examined according to the length of the response, tone of the response, and any additional features provided by the chatbots such as citations, web links, and helpful follow-up questions. This comparison found that Perplexity excelled at responding to all of the questions though others provided strong outputs as well, pointing to the possible importance of using multiple chatbot for answers and for continually examining different chatbots given …