Digital Commons Network^™

Mobility-Restricting Covenants In Business Contracts: The Case Of Franchising, Francine Lafontaine, Lorenzo G. Luisetto, J.J. Prescott

Articles

Several studies show that restrictive covenants in employment contracts, such as non-compete agreements, may affect employees in detrimental ways, including by reducing mobility and suppressing wages. While such concerns are real, these clauses also have the potential to serve legitimate business purposes by helping companies protect valuable information, which can encourage investment and training and enhance social welfare. This paper explores the use of several types of covenants, including non-competes but also confidentiality and post-relationship non-recruitment clauses, in franchise contracts, an important and accessible category of business contracts. Many of these contracts impose restrictive covenants on franchisees but also on …

Public, Private, Acquired, Alexander I. Platt, Matthew T. Wansley

Articles

For the last quarter-century, IPOs have been declining. SEC officials usually attribute the decline to startups’ choices to stay private. But that explanation is incomplete. As startups grow, they face a three-way choice between going public, staying private, and being acquired, and they have increasingly chosen the third option. In this Essay, we show how securities regulation pushes startups towards acquisitions by increasing the cost of raising capital and accessing liquidity in both public and private markets. We consider how the trend towards acquisitions could reduce competition, innovation, opportunities for diversification, and transparency. And we offer suggestions for how the …

D-Methionine Improves Spatial Navigation And Attenuates Oxidative Stress And Amyloid Pathology In A Sex-Specific Manner., Mackenzie R Peck, Jenelle E Chapman, Tiarra Hill, Kathleen Quinn, Erol D Ikiz, Angel Lopez, Erin R Hascup, Chilman Bae, Kevin N Hascup

Articles

Background

Oxidative stress and maladaptive neuroimmune activation contribute to cognitive decline in Alzheimer's disease (AD) and represent therapeutic targets beyond amyloid-centered approaches.

Objective

To determine whether oral D-methionine (D-Met), a redox-active amino acid, reduces amyloid pathology and lipid peroxidation and confers disease-modifying benefits in AD models.

Methods

Male and female APP/PS1 and APP^NL−Fmice with advanced AD pathology received oral D-Met or vehicle. Behavioral assessments included locomotor activity and hippocampal-dependent spatial learning and memory. Amyloid burden, lipid peroxidation, peripheral metabolic, and inflammatory markers, and hippocampal microglial phenotypes were evaluated.

Results

D-Met did not alter locomotor or exploratory behavior but …

Abundance And The Supreme Court, Nicholas Bagley

Articles

Scarcity mars much of American life. Housing prices in our most productive cities are out of control. The nation’s transportation infrastructure is aging and obsolete because it costs so much more to build here than in other developed countries. Meanwhile, China generates nearly three times as much solar energy as the United States, with the gap growing every year.

Why does the richest nation in the history of the world struggle so mightily to get stuff done? That’s the question that propels Ezra Klein and Derek Thompson’s 2025 bestseller Abundance, which galvanized what may be the hottest and most controversial …

Emotional Intelligence And Teamwork In A Ship’S Bridge : A Proposed Training Framework For Upskilling, Sofia Kallou, Nikitas Nikitakos, Dimitrios A. Papachristos, Dimitrios Dalaklis, Momoko Kitada

Articles

The notion that computers equipped with software and artificial intelligence (AI) applications can effectively replace human intelligence is under the existing paradigm of operations. This is the leading facilitator of task automation on board a ship to fulfill various jobs and is often supported by numerous scientists/academics who contribute to gaining today’s momentum in public opinion. The discourse of Industry 4.0 in the maritime domain, however, tends to focus heavily on technological contexts and overlooks socio-economic contexts. This gap is evident in the strong emphasis on technical and digital skills for future maritime professionals. This paper, therefore, argues that the …

William K. Hartmann, Scientist, Artist, Pioneer Of Planetary Science, Adam Eisenberg

Articles

For more than six decades, William K. Hartmann has helped shape modern planetary science, from pioneering crater-count dating to developing the leading theory of the Moon's formation. He has also created some of the most enduring artistic visions of other worlds. Adam Eisenberg caught up with him on the eve of his 87th birthday.

Technology Before, During, And After Incarceration: Current Product Landscape, Sociotechnical Concerns, And Legal Considerations In The U.S. Context, Yael Eiger, Taylor Hansen, Teanna Barrett, Jevan Hutson, Bryce Clayton Newell, Franziska Roesner

Articles

Emerging technology, including AI, is proliferating throughout the U.S. carceral system. These technologies are marketed to prisons and police departments and then procured using taxpayer money. Previous investigative reporting has exposed troubling kickback schemes, unconstitutional data collection practices, and biased algorithmic outcomes in a handful of prominent technologies (e.g., Flock, Palantir, Clearview AI, COMPAS). In this work, we consider the broader ecosystem of carceral technologies: we catalog 122 products from 53 companies selling technology to carceral institutions. In a collaboration among computer science, law, and surveillance studies scholars, we surface sociotechnical, ethical, and legal concerns related to the use and …

Ai, Medicine, And Social Determinants Of Health Data, Ryan Doyloo, Nicholson Price

Articles

This article examines how medical AI systems are incorporating SDoH data and the governance challenges that follow. The authors show that while SDoH integration can enhance clinical workflows and predictive accuracy — potentially improving outcomes for underserved populations — it also introduces acute risks of proxy discrimination, where facially neutral variables replicate protected characteristics. Surveying U.S., EU, and international frameworks, the authors argue that existing regimes lack clear ex ante guidance to distinguish beneficial from harmful uses of SDoH data. In response, they advance post-market monitoring as a pragmatic and scalable pathway: generating real-world, SDoH-stratified evidence that can support enforcement, …

Feedback Loops: What Am I Missing?, Patrick Barry

Articles

In May, 2024, The Wall Street Journal published an article titled “For Conversations You Dread, Try a Chatbot.” Here are the opening lines: Many people worry about the outsize role that AI may eventually play in our lives. But what if employing an AI program could actually help us with issues that cause fear and anxiety? We’ve found that it can be a surprisingly effective tool for figuring out how to approach emotionally charged conversations.

The Corporate Restructuring Machine: Introducing An Open Platform Approach To Workouts, Horst Eidenmüller, Jared Mayer

Articles

Out-of-court corporate reorganizations, or “corporate workouts,” allow dispersed investors with differing interests to coalesce and strike deals to successfully reorganize distressed companies. Corporate workouts, however, suffer from a host of well-known problems, creating “process fragility.” Current bargaining dynamics limit the instances in which corporate workouts can be used, narrow the kinds of deals that can be made, and invite opportunistic and other socially costly behavior. Yet the Artificial Intelligence (AI) revolution is here; how can it help parties navigate corporate workouts?

In this Article, we argue that AI is well situated to help increase the efficiency of corporate workouts. Based …

An Integrated Framework For Information Security Risk Management: A Mixed-Methods Systematic Literature Review, Biju Varghese, Quang "Neo" Bui

Articles

Driven by escalating threats and regulatory scrutiny, information security risk management (ISRM) is now a strategic imperative for organizations across the industrial spectrum. Although prior literature reviews offer valuable insights into ISRM subdomains, they remain fragmented and overly reliant on manual methods, limiting their scope and scalability. Additionally, only limited reviews have been able to comprehensively synthesize ISRM literature across its three foundational pillars: processes, governance, and strategy. To address this gap, we conduct a large-scale systematic literature review of 623 ISRM-related articles using a mixed-methods approach which combines natural language processing techniques with thematic analysis. We identify 22 thematic …

A Common Pool Of Privacy Problems: Legal And Technical Lessons From A Large-Scale Web-Scraped Machine Learning Dataset, Rachel Hong, Jevan Hutson, William Agnew, Imaad Huda, Tadayoshi Kohno, Jamie Morgenstern

Articles

We investigate the contents of web-scraped data for training AI systems, at sizes where human dataset curators and compilers no longer manually annotate every sample. Building off of prior privacy concerns in machine learning models, we ask: What are the legal privacy implications of web-scraped machine learning datasets? In an empirical study of a popular training dataset, we find significant presence of personally identifiable information despite sanitization efforts. Our audit provides concrete evidence to support the concern that any large-scale web-scraped dataset may contain personal data. We use these findings of a real-world dataset to inform our legal analysis with …

Reimagining Legal Education: The Transformative Power Of Small-Group Instruction, Michael I. Meyerson

Articles

Legal education is failing its students. Those entering their first year of law school have greater anxiety and less developed reading and writing skills than ever before. The traditional large Socratic class, which was never the most effective teaching method, has become increasingly counterproductive.

This Article contends that small-group instruction provides the opportunity for superior teaching, especially for first-year law students. Recent scholarship in active learning, educational psychology, and students’ mental health demonstrates the limitations of the traditional large Socratic class experience. Building on that theoretical foundation and informed by sustained classroom experience, this Article argues that small-group pedagogy more …

Brokering Safety, Chinmayi Sharma, Thomas E. Kadri, Sam Adler

Articles

For victims of abuse, safety means hiding. Not just hiding themselves, but also their contact details, their address, their workplace, their roommates, and any other information that could enable their abuser to target them. Yet today, no number of name changes and relocations can prevent data brokers from sharing a victim's personal information online. Thanks to brokers, abusers can find what they need with a single search, a few clicks, and a few dollars. For many victims, then, the best hope for safety lies in obscurity-that is, making themselves and their information harder to find.

This Article exposes privacy law's …

Law, Conflict, And Hybrid Warfare: A Teaching Imperative For A Changing World, Cynthia Alkon, Andrea K. Schneider

Articles

Lawyers increasingly find themselves at the frontlines of the battlefield, just not in the traditional sense. Hybrid warfare is a conflict form that combines traditional military offensive measures with nontraditional methods, including the harnessing of legal systems to achieve strategic goals. Lawyers have always been at the frontline of typical legal risk assessment, thinking about a client’s risk of liability or regulation costs generally. Now, lawyers must stand at the ready for a lot more: lawyers must be prepared for cyber-attacks, disinformation campaigns using artificial intelligence, the use of court systems to suppress reporting or shield bad actors, and so …

Racing To Safety: Tax Policy For Ai Safety-By-Design, Mirit Eyal, Yonathan Arbel

Articles

The White House recently announced its vision of artificial intelligence (AI) policy: AI development is a race and America must win it. To that end, a new America's AI Action Plan directs federal agencies and states to remove regulatory barriers to AI development and accelerate innovation. This approach leaves limited room for regulatory measures that would address the safety risks of powerful AI systems: their behavior in novel domains remains unpredictable, their decision-making opaqueness, and their alignment with human values is uncertain. While experts warn of large-scale accidents, policymakers find themselves in a bind: Regulate AI and cede ground to …

No Intelligence Without Statistics: The Invisible Backbone Of Artificial Intelligence, Ernest Fokoue

Articles

The rapid ascent of artificial intelligence (AI) is often portrayed as a revolution born from computer science and engineering. This narrative, however, obscures a fundamental truth: the theoretical and methodological core of AI is, and has always been, statistical. This paper systematically argues that the field of statistics provides the indispensable foundation for machine learning and modern AI. We deconstruct AI into nine foundational pillars—Inference, Density Estimation, Sequential Learning, Generalization, Representation Learning, Interpretability, Causality, Optimization, and Unification—demonstrating that each is built upon century-old statistical principles. From the inferential frameworks of hypothesis testing and estimation that underpin model evaluation, to the …

On The Scientific Stature Of Data Science: The Epistemological Unicorn, Ernest Fokoue

Articles

Data Science has ignited unprecedented academic, industrial, and pedagogical fervor, yet its status as a \textit{science} in the classical sense---comparable to physics or biology---remains profoundly unsettled. This article interrogates the epistemological foundations of Data Science by examining its hybrid theoretical lineage, from the Universal Approximation Theorem to the No-Free-Lunch Theorems, with special emphasis on the fundamental Bayesian optimality results for both regression and classification. We argue that Data Science is in a vigorous \textit{gestational period}, characterized not by an absence of principles but by a creative tension between empirical pragmatism and deep mathematical theory. The Cross-Validation score emerges as the …

Virtual Humans In Virtual Reality: A Scoping Review On Sociability, Fidelity, And Expression, J K Sangeeth Chandran, Marisa Llorens Salvador, Cathy Ennis

Articles

Introduction:

Virtual reality (VR) systems have evolved significantly over the past decade, enabling immersive experiences with enhanced realism and interactivity. This has motivated an interest in socially oriented applications. As user proxies, Virtual Humans (VHs) play essential roles in such applications. However, despite technological advancements, achieving realistic, expressive, and socially responsive VHs continues to present design and implementation challenges. In this scoping review, we present the state-of-the-art of VR VHs, examining the impact of VHs on the user experience.

Methodology:

We reviewed 59 papers retrieved from five databases across three core themes: the implementation and impact of VH facial expressions, …

Selecting Without Replacement From A Population Of Bands Of Serially Connected Objects, James E. Marengo, Dominick Banasik, Joseph Voelkel, David L. Farnsworth

Articles

The sampling procedure from a finite population of objects that are serially attached into bands is described and analyzed. One object is randomly selected and removed at a time, which results in that object’s band being broken into two bands or shortened by one object. The main result gives the probability of choosing an object that is part of a band of serially connected objects of any specified size at each stage of the selection process.

Flexible Funding Authorities To Support Tribal Climate Adaptation, Monte Mills, Sydney Anderson, Lauren Young

Articles

This project is part of a policy research effort intended to support Tribes, federal agencies, and Tribal and non-Tribal organizations in addressing some of the climate adaptation barriers and needs experienced by Northwest coastal Tribes. Accessing and administering Federal funds is a significant challenge for Tribes. Existing federal funding sources are often accompanied by rigid rules that make it difficult for Tribes to flexibly allocate funds as needed, and include strict qualification criteria that limit Tribal access to funds. Short-term funding cycles can be disruptive to long-term staffing and project needs, and are often misaligned with Tribal priorities.

Interpretive Facts: Textualism, Empiricism, And The Law-Fact Divide, Hannah Walser

Articles

This Article offers the first systematic examination of where empirical linguistic evidence should fit in the federal court system's division of labor based on law and fact. I begin by identifying interpretive facts : generalized empirical evidence about how a particular word or phrase has been used by a population of speakers, understood by a population of listeners, or both. Thanks to technological advances in corpus linguistics permitting the quantitative analysis of large numbers of texts, as well as methodological shifts that frame ordinary meaning as an empirical question, such facts are increasingly prominent in statutory and constitutional interpretation cases. …

Anti-Zionism, Antisemitism, Antidiscrimination, Zalman Rothschild

Articles

This Article uses recent anti-Zionism cases as a case study in hostile environment causation. It briefly surveys the approaches to the causation element that courts have taken in other contexts and then examines the anti-Zionism decisions in detail. It finds that courts in these cases have consistently converged on the narrowest variant of the motive-based approach, treating proof of animus—subjective hostility toward Jews—as the operative route to causation. That approach has its attractions. It preserves breathing space for political speech and resists the claim that opposition to Zionism is necessarily hostility toward Jews. But it is not the only approach …

Expanding Astrobiology: The Case For A Lunar Biorepository, Mary Hagedorn, Lynne R. Parenti, Robert A. Craddock, Pierre Comizzoli, Paula Mabee, Bonnie Meinke, Susan Wolf, John C. Bischof, Rebecca D. Sandlin, Shannon N. Tessier, Mahmet Toner, Baptiste Journaux, Robert Ambrose, Garret Fitzpatrick

Articles

Earth’s resources are essential to support an expanding presence beyond the planet. Yet global conflicts, environmental change, and natural disasters threaten ecosystems and biodiversity, putting the integrity of Earth’s ecosystems and its resources at risk. These converging challenges underscore the urgency to develop innovative strategies to conserve Earth’s biodiversity. Astrobiology—seeking to understand life’s origins, limits, and potential beyond Earth—plays a central role in this effort, helping to preserve Earth’s species while also providing critical assets to explore and work in space. A Lunar Biorepository was proposed to hold cryopreserved samples from among the most critical species on Earth. Here, we …

Why Boards Should Have Rotating Contrarians, Dana Brakman Reiser, Claire A. Hill

Articles

Too often, for-profit and nonprofit boards are too passive, deferential or both. Their failures to engage their critical faculties have resulted in serious harms as diverse as Boeing planes crashing and the NRA squandering millions of dollars. This article proposes a simple mechanism to stimulate critical thinking by individual directors and improve overall board dynamics: a designated contrarian position that rotates among members of the board. During her term, the contrarian’s job would be to raise objections to the organization’s proposed actions – or inaction. After their terms, each contrarian would resume her duties as a regular board member, replaced …

Untangling Ai Openness, Parth Nobel, Alan Rozenshtein, Chinmayi Sharma

Articles

The debate over AI openness—whether to make components of an artificial intelligence system available for public inspection and modification—forces policymakers to balance innovation, democratized access, safety, and national security. By inviting startups and researchers into the fold, it enables independent oversight and inclusive collaboration. But technology giants can also use it to entrench their own power, while adversaries can use it to shortcut years and billions of dollars in building systems, like China’s DeepSeek, that rival our own. How we govern AI openness today will shape the future of AI and America’s role in it.

Policymakers and scholars grasp the …

Space Mining, Richard Painter

Articles

The Trump Administration and U.S. Congress are promoting new ventures to extract valuable minerals from outer space. This Article does not dismiss the idea out of hand, but explores reasons for caution, including practical problems with space mining, its environmental impact, the likelihood that the United States could violate international law, and the risk of armed conflict. These problems are exacerbated by financial conflicts of interest in our government with a handful of billionaires, who have a financial interest in space mining work. The promotion of their agenda could involve wasteful government spending on subsidies for private ventures, with a …

In Service Of The State: Foreign Financing, Infrastructure, And Imperialism In Tsarist Russia, Christopher A. Hartwell, Paul Vaaler, Boris Vinogradov

Articles

Russia’s imperialism in the nineteenth century has been far less scrutinized than other episodes of great power colonization, but the Tsar’s expansion into the Caucasus was indeed an ongoing imperial project. The movement of Russian troops and settlers was only feasible with the creation of a large railway network, an undertaking for which the Tsarist regime lacked adequate funding. In response, the regime developed a system of state guarantees and incentives to attract foreign investors looking for higher returns and willing to finance railways serving the imperial project. We illustrate this point with a case study of Paris-based Crédit Lyonnais …

Filling The Network Gap In Research Ethics: Analyzing Ethical Issues At Scale In Big Team Science, Susan Wolf, Gillian H. Roehrig, Timothy L. Pruett, Korkut Uygun, Claire Colby Mcvan, Evelyn Brister, Shawneequa L. Callier, Alexander M. Capron, James F. Childress, Rosario Isasi, Andrew D. Maynard, Kenneth A. Oye, Paul B. Thompson, Terrance R. Tiersch

Articles

Scientific research increasingly involves large, multidisciplinary teams networked across multiple institutions to develop new technologies. Despite the rise of complex research networks and big team science, there has been too little analysis to date of the ethical challenges facing these networks. The extensive literature on the ethical issues confronting individual researchers and small teams (the microlevel) and on the larger societal challenges flowing from research and new technology (the macrolevel) leaves a troubling gap in between, at the mesolevel of the research network involved in big team science. Yet the ability of complex networks to conduct research ethically—which is essential …

Advancing Neurotech Justice In Youth Digital Mental Health: Insights From An Interdisciplinary And Cross-Generational Workshop, Francis X. Shen, Craig W. Mcfarland, Donnella S. Comeau, Leo Anthony Celi, Benjamin C. Silverman, Sepideh Abdi, Mahsa Alborzi Avanaki

Articles

Researchers and clinicians are increasingly looking to leverage artificial intelligence (AI) and digital tools to improve psychiatric care. Of particular promise is addressing the youth mental health crisis. Yet, the introduction of AI-enabled digital technologies for psychiatric treatment of young adults raises a host of ethical, legal, and societal issues (ELSI). To provide guidance in addressing these issues, we convened a two-day meeting at the Radcliffe Institute for Advanced Study at Harvard University: Advancing Neurotech Justice in Mental Health: Insights from an Interdisciplinary and Cross-Generational Workshop. The meeting brought together a diverse cohort of 17 experts and 5 students …