Digital Commons Network^™

Informed Applicants: Anti-Discrimination Enforcement Based On The Use Of Criminal Records, Benjamin David Pyle

Faculty Scholarship

Navigating the labor market with a criminal record is treacherous. Countless job applicants will be turned down immediately after a potential employer learns they have had contact with the criminal legal system. Criminal records reflect and exacerbate long-standing racial and economic inequalities in the United States. Thus, the use of records in employment decisions will often implicate anti-discrimination laws. However, successfully enforcing these protections requires job applicants to, at minimum, understand why they were not hired. Many applicants never learn why they were not hired and thus will never be able to protect their rights. This Article argues that understanding …

The Power And Peril Of The Aca's Universality At Fifteen, Nicole Huberfeld

Faculty Scholarship

As part of the symposium "15th Anniversary of the ACA: A Health Equity Review," this essay explores the ACA's mix of private law and public law provisions that rendered measurable improvements in health equity and health outcomes, especially for populations that experienced longstanding health disparities before its enactment.  Congress’s central objective was near-universal health insurance coverage, and the ACA employed a variety of mechanisms to reach that goal. The law’s health equity successes grew from establishing a principle of inclusion across federal statutes. This principle, which I have called “universality,” centered a human right to health approach: No longer would …

Obscurity And The Fallacy Of No Privacy In Public Information, Woodrow Hartzog

Faculty Scholarship

The main thesis of this chapter is that because there are so many different possible interpretations of ‘public information’, the concept cannot be used to justify data practices and surveillance without first articulating a more precise meaning that recognises what is at stake. By disposing of the myth that there is an objective and dispassionate concept of public information, judges and lawmakers can clear the way for information rules based on overt value choices. In short, if the concept of ‘public’ is going to shape people’s social and legal obligations, its meaning and neutrality should not be assumed.

My argument …

Corporate Childrearing, Katharine B. Silbaugh

Faculty Scholarship

With children influencing a trillion dollars in spending annually, corporations actively seek to shape children's identities in support of consumer culture and profit. Yet there are no scholarly treatments or theories of the legal relationship between children and corporations. Instead, scholars address individual industries such as food, social media, cosmetics, tobacco, or fashion, missing the structural role corporations play in children's identity formation. Family law evaluates child wellbeing interventions using a triangle to map the legal dynamics among child, parent, and state. This article adds corporations as fourth actors, reconceptualizing that triangle as a square. This square provides the first …

Five Lessons From Ken Kersch’S Conservatives And The Constitution For The Present Moment, James E. Fleming, Linda C. Mcclain

Faculty Scholarship

Timothy Snyder’s On Tyranny, a New York Times bestseller, has the subtitle, “Twenty Lessons from the Twentieth Century.” Ken Kersch’s Conservatives and the Constitution: Imagining Constitutional Restoration in the Heyday of American Liberalism (2019) provides at least twenty lessons from the second half of the Twentieth Century about the development of conservative constitutional thought and activism. Although conservatism has changed in many ways since the 1954-1980 period on which Kersch’s book focuses, these lessons are relevant for understanding the present political moment, filled with concerns that the U.S., during the second Trump Administration, is lurching toward tyranny, authoritarianism, and …

The Punishment Paradox, Steven Arrigg Koh

Faculty Scholarship

What does criminal punishment do? Across centuries of criminal legal thought, a shared answer persists: punishment incapacitates the wrongdoer. And yet punishment sometimes yields its opposite. Paradoxically, punishment sometimes becomes a rallying point-expanding community identification and solidarity around the defendant. This Article shows this punishment paradox using the 2023-24 prosecutions of President Trump and recent and historical case examples-from Luigi Mangione to Karen Read to Rosa Parks. By arguing that criminal law can generate solidarity rather than stigma, the Article both rethinks foundational theories of punishment and reconsiders the role of criminal law in democratic politics. Such an approach transcends …

The Hypocrisy Of Data Governance, Zubair Shafiq, Olivia Figueira, Athina Markopoulou, Woodrow Hartzog, Michael Lavine

Faculty Scholarship

“Data governance” is an empty term, like a Rorschach inkblot just waiting to be filled with meaning. Tech companies take advantage of this ambiguity to craft narratives about their data-governance capabilities to fit their audience and purpose. On one hand, tech companies brag about their data-governance capabilities when it fits their business model (for example, to advertisers) and public image (for example, to their customers). On the other hand, tech companies claim that meaningful data governance is challenging or impossible when accountability is demanded.

In this Article, we argue that tech companies systematically misrepresent or selectively ignore their data-governance capabilities. …

Corporate Law's Duty Of Data Loyalty, Andy Serwin, Neil Richards, Woodrow Hartzog, Ryan Durrie

Faculty Scholarship

Privacy law used to be a relatively tidy field, involving a few interesting but discrete topics like press disclosures of private facts, wiretapping, and the processing of personal data by internet companies. But as the digital revolution continues to disrupt area after area of human activity and software “is eating the world,” the core concerns of privacy law such as “when is it appropriate to process personal data?” have similarly entered field after field. Today, most fields of law, including discrimination law, antitrust, and international law, have found it necessary to reckon with the questions of informational harm and power …

Romanist-Bourgeois Property And The Development Of The Modern Capitalist World System, Anna Di Robilant

Faculty Scholarship

This article examines the role of Romanist-bourgeois property law in the development of the modern capitalist world system, focusing on how nineteenth-century jurists deliberately crafted and adapted Roman law-based property doctrines to address the evolving social relations of production in both Europe and its peripheries. Rather than viewing legal concepts as merely reflective of broader economic transformations, the author highlights the active role played by a professional class of jurists in shaping property law to legitimize and structure emergent capitalist class dynamics. The article critically engages with competing scholarly perspectives that either privilege market expansion or downplay class relations, arguing …

A Hybrid Response Surface Methodology And Machine Learning Framework For Quantifying Effects Of Physicochemical Parameters On Pfas Distribution, Harsh V. Patel, Jazmin Green, Hyoshin Park, Stephanie Luster-Teasley Pass, Renzun Zhao

Engineering Management & Systems Engineering Faculty Publications

Predicting PFAS adsorption across diverse adsorbents and environmental matrices remains challenging because adsorbent physicochemical properties, PFAS molecular descriptors, and operational conditions simultaneously influence adsorption. This study develops and evaluates a unified hybrid modeling framework that integrates Response Surface Model (RSM) with machine-learning algorithms to quantify how six key variables, surface area, Log K_ow, pH_pzc, pK_a, log dose, and log-initial concentration, affect PFAS distribution coefficients (Log K_d). A data set of more than 1000 adsorption observations spanning 15 PFAS compounds, multiple adsorbent types, and a broad operational range was compiled and preprocessed using …

A. Vs. I In Ai: Is There A Threshold To "Engineered" Intelligence?, Joshit Mohanty

Engineering Management & Systems Engineering Faculty Publications

Despite artificial intelligence reshaping the world, its development generates uncertainties regarding future capabilities. AI simultaneously exists as an artifact of engineering design and as autonomous intelligence, creating an observer-participant feedback loop. This paper proposes that embodied AI faces a bandwidth-limited intelligence threshold T_h that it arises from B = min(C_sens,C_Act). However, Shannon capacity measures bits while intelligence operates on concepts, necessitating a dual-channel model separating physical bandwidth B_io from representational capacity B_rep. Intelligence emerges as multi-dimensional rather than scalar, with components exhibiting different bandwidth dependencies. Surpassing T_h requires either new sensing methods expanding B, enhanced representational frameworks, or reconceptualization within …

A Three-Stage Causal Root-Cause Diagnostic Protocol For Nonstationary Industrial Time Series Data, Cansu Yalim, Resit Unal, Holly A. H. Handley

Engineering Management & Systems Engineering Faculty Publications

Predictive maintenance (PdM) systems effectively forecast failures, but they often fail to find root causes, particularly when system dynamics change over time. This limitation arises from applying static causal models or decoupled segmentation to handle nonstationary industrial time series. For regime-aware causal diagnostics and interventional effect estimation, we introduce a three-stage time-varying dynamic Bayesian network (TV-DBN) protocol. Using a minimum description length (MDL) objective that connects segmentation to mechanism changes, Stage I jointly infers change points and regime-specific graph structure. Stage II produces a completed partially directed acyclic graph (DAG) by orienting edges within each regime using a combination of …

Technological Interventions For Reducing Climate Change Impacts On Health: An Overview Of Future Possibilities, Sujatha Alla, Vijay Kumar Chattu, Bawa Singh

Engineering Management & Systems Engineering Faculty Publications

Globally, over five million deaths annually are attributed to extreme weather events exacerbated by climate change, such as heatwaves, hurricanes, wildfires, droughts, and floods, which create health crises and economic losses. The 2015 Paris Declaration emphasized climate technology mechanisms, including research and development, to enhance resilience and reduce greenhouse gas emissions. Biotechnological advancements have mitigated about 20% of economic losses since the 1960s, highlighting technology’s potential to address climate-induced health risks.

Information-Theoretic Path Planning For Safe And Adaptive Nanobot Drug Delivery, Nagesh Bheesetty, John H. Park, Sujatha Alla, Winifred M. Lo, Aditya Nimmagadda, Mohamadmahdi Samandari, Jae H. Lee

Engineering Management & Systems Engineering Faculty Publications

We present a safe and efficient path planning framework for nanobot navigation in complex vascular networks, enabling precise drug delivery to hard-to-reach tumor regions such as those found in the lungs. The proposed method introduces a safe and efficient path planning strategy that integrates a utility-based function to balance two key goals: exploring uncertain areas to gather valuable information and avoiding hazardous regions to ensure safe and reliable delivery. We evaluate a simplified swarm-based nanobot navigation scenario using synthetic vascular maps that mimic the structural complexity of lung tumor blood vessels. Environmental uncertainty is modeled from vessel topology, blockage density, …

Grandmothers Of Invention: A Commentary On Fifty Years Of Hazards And Disasters Research And Practice In The United States, Susan L. Cutter, Kathleen Tierney

Faculty Publications

This commentary highlights the role of “grandmothers of invention”: women in the United States who were the first to enter the field of hazards and disasters as core researchers and who played key roles in advancing the science and practice of hazards/disasters research since 1975. We examine the evolution and transformation of the field from the perspective of the women who were initially entering a male-dominated field. The innovations in theory, concepts, tools, topics, and mentoring the next generation of scholars and practitioners are highlighted. Notably, emphasis on these women's singular and collective influence on practice and policy highlights the …

Basis Design For Electronic Structure And Beyond, Weishi Wang

Dartmouth College Ph.D Dissertations

At the intersection of quantum physics, quantum chemistry, and materials science, electronic structure is the study of electrons in solid-state and molecular systems. Electronic-structure computation relies on discretizing the many-electron Hamiltonian with a finite single-particle basis set. However, basis-set construction is conventionally treated as an ad hoc preprocessing step. This thesis develops an expressive and flexible framework for active, system-oriented basis-set design and numerical modeling strategies that treat basis functions as tunable representations to encode electronic ground-state information.

We first introduce a multi-layered, differentiable basis-construction framework that embeds a set of primitive parameters into mixed-contracted Gaussian-type orbitals. We then develop …

From Meaning To Memory: Assessing The Capacity And Representational Structure Of Visual Working Memory With Meaningful Stimuli, Yong Hoon Chung

Dartmouth College Ph.D Dissertations

Visual working memory is thought to be strictly limited. Yet we remember meaningful, real-world objects better than abstract stimuli. Here I show that this advantage arises from the semantic structure of meaningful objects, not their perceptual features alone, and that it extends even to memory for associated features such as color. In the brain, meaningful objects elicit greater and more distributed delay activity, consistent with the recruitment of higher-level neural processes during maintenance. I propose that semantic knowledge adds representational dimensions that make items more distinctive, and that these dimensions are organized hierarchically with lower-level visual features. These findings recast …

The Serotonin 1b Receptor In Psilocybin’S Therapeutic-Like Mechanisms: From Behavior To Network Reorganization, Sixtine Fleury

Dartmouth College Ph.D Dissertations

Mood disorders represent a substantial and growing global health crisis, with ~10 million adults in the US meeting criteria for a major depressive disorder (MDD). Current first-line treatments such as SSRIs require long-term daily administration and fail a significant proportion of patients, driving renewed interest in rapid-acting alternatives. Psilocybin, a serotonergic psychedelic, shows growing clinical evidence of efficacy in treating depressive and anxiety disorders, often producing therapeutic effects persisting weeks to months following a single dose. Yet, the neural mechanisms underlying these enduring effects remain poorly understood and have been largely attributed to the serotonin 2A receptor (5-HT2AR) based on …

Ct-Based Imaging In Acute Ischemic Stroke: Evolution, Evidence And Emerging Frontiers, Syed Roohan Aamir, Anjana Ganesh, Harshita Cherukuri, Jerome A. Jeevarajan

School of Medicine Publications

Background: The emergent treatment of acute ischemic stroke (AIS) has developed over the past four decades, and neuroimaging has always been a cornerstone of triage and decision-making prior to thrombolysis and thrombectomy interventions. Despite advances in these reperfusion therapies, AIS remains a leading cause of death and disability around the world. This review brings together the historical development of computed tomography (CT) stroke imaging and the current wave of artificial intelligence (AI) applications in a single narrative, with particular attention to non-contrast CT-based patient selection and its relevance to resource-limited settings.

Methods: This narrative review draws on peer-reviewed literature identified …

An Ethical Analysis Of International Graduate Student Workers' (Igsws) Employment Vulnerability, Adeola F. Oladeji

University of Kentucky Doctoral Dissertations

International graduate student workers (IGSWs) occupy a distinctive position within U.S. higher education as students, employees, and temporary visa holders. Their academic progress, financial support, and legal authorization to remain in the United States are often closely intertwined, creating dependencies that heighten their vulnerability to exploitation, unequal treatment, and institutional power imbalances. Although previous scholarship has documented these challenges from empirical, legal, and policy perspectives, comparatively little attention has been given to universities' ethical responsibilities toward IGSWs.

This dissertation examines how U.S. higher education institutions should fulfill their ethical responsibilities to international graduate student workers. Grounded in Dewey's pattern of …

Belonging, Flourishing, And The Experience Of College Students Of Differing Social Identities, Christine M. Bachen, Andrea E. Brewster, Kyle T. Amore

Communication

This study investigates how cumulative minoritization—the additive effect of multiple marginalized identities—is associated with undergraduate students’ sense of belonging across five distinct ecological levels: campus, faculty, staff, classroom, and peer. Utilizing a sample of 403 students at a private West Coast university, we examine the relationship between students’ Cumulative Minoritization Score (CMS) and belonging, as well as its association with flourishing. Quantitative analyses revealed significant belonging disparities, with higher Cumulative Minoritization scores associated with lower belonging in classroom, campus, and faculty contexts; associations with staff and peer belonging did not reach significance. Additionally, the study finds the relationship between belonging …

Mid-Term And Long-Term Clinical Events With Conduction System Pacing Versus Biventricular Pacing In Hfref With Wide Qrs: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials With Trial Sequential Analysis, Juan Munoz-Moreno, Carlos Diaz-Arocutipa, Carlos Espiche-Salazar, Jacob Mcauliffe, Raymond L. Benza, Amin Yehya, Johanna Contreras, Erich L. Kiehl

Department of Medicine Faculty Publications

Background/Objectives: Conduction system pacing (CSP) has emerged as a more physiological alternative to biventricular pacing (BiVP) in heart failure with reduced ejection fraction (HFrEF) and wide QRS, but recent randomized controlled trials (RCTs) have yielded discordant results. This meta-analysis aimed to compare CSP with BiVP for clinical events and functional recovery in HFrEF. Methods: MEDLINE, Embase, and Cochrane Library were searched for RCTs through 15 April 2026. Primary outcomes were all-cause mortality (ACM) and heart failure hospitalization (HFH) at mid-term (6–12 months) and long-term (>12 months) follow-up. Random-effects meta-analyses and Trial Sequential Analysis (TSA) were performed. Results: Eleven RCTs …