Digital Commons Network^™

From Displacement To Design: Reframing Work, Skills, And Education For The Ai-Transformed Economy A Review, James Hutson

Faculty Scholarship

Between 2023 and 2025, the U.S. labor market entered a period of accelerated restructuring driven by generative artificial intelligence (AI) and automation. Routine, entry-level cognitive roles—particularly in clerical, customer service, and junior technical positions—contracted sharply as intelligent systems assumed high-volume, rules-based tasks. While these displacements echo past automation cycles, the present transformation is distinct in its scope, affecting both knowledge work and creative functions, and in its speed, amplified by enterprise-scale adoption. Simultaneously, demand has surged for specialized AI-related positions, interdisciplinary roles blending domain expertise with AI fluency, and ―durable skills‖ that remain resistant to automation. Drawing on labor market …

Organizing For Abolition In Ice Custody, Sarah R. Sherman-Stokes

Faculty Scholarship

The final Immigration and Customs Enforcement (“ICE”) detainees were released from the Irwin County Detention Center in early September 2021.² A court did not order the end of ICE detention at Irwin. A social movement, led by people detained at Irwin, had a pronounced impact on the epistemological landscape and changed both normative principles and public opinion.³ Those detained at Irwin organized and acted to create new understanding of law and protect their rights in ways that courts and legislatures could not. This Essay tells the story of that demosprudential project; a dialectic between legal elites and people …

Algorithmic Governance And The Boardroom: Empirical And Strategic Perspectives On Ai Integration In Corporate And Educational Oversight, James Hutson, Guarango Banerjee

Faculty Scholarship

The accelerating digitization of executive decision-making has prompted critical re-examination of the function and value of traditional boards of directors within corporate and educational institutions. Empirical research consistently reveals that human boards, while ostensibly tasked with strategic insight and fiduciary oversight, are frequently constrained by structural inefficiencies—such as director overcommitment, inflated compensation, and persistent conflicts of interest—that undermine organizational performance. Against this backdrop, the integration of Artificial Intelligence agents, either as analytic adjuncts or autonomous decision-makers, emerges as a plausible avenue for enhancing board effectiveness. This article synthesizes global case studies, peer-reviewed findings, and real-time technological developments to critically evaluate …

Trump Epa’S Proposed Revocation Of Greenhouse Gas Endangerment Finding Raises Tangle Of Legal Issues, Michael B. Gerrard

Faculty Scholarship

On July 29, 2025, at an auto dealership in Indiana, Lee Zeldin, Administrator of the U.S. Environmental Protection Agency (EPA), announced a proposal to withdraw the Endangerment Finding for greenhouse gases (GHGs), which has been EPA’s legal basis for using the Clean Air Act to fight climate change. This action, which will surely be fought in court once it becomes final, raises a host of legal issues. This article discusses the legal basis for and significance of the Endangerment Finding; Zeldin’s principal arguments for revoking it, and challenges that will be raised to them; the range of possible outcomes in …

Most-Favored-Nation's False Promises, George A. Bermann

Faculty Scholarship

Most-favoured-nation (MFN) protection seems decidedly straightforward both in meaning and operation, certainly as compared to other investment protections, such as fair and equitable treatment, which are plagued with indeterminacy. But the clarity of meaning and ease of application of MFN clauses are largely illusory. An examination of arbitral case law reveals seriously underestimated uncertainties surrounding the doctrine’s scope and workings. But the problems with MFN run far deeper. MFN may have the virtue of enhancing the level of protection of foreign investments. But States do not only extend benefits; they also withhold them. MFN disrespects the balance that States sought …

College Students' Perceptions Of Artificial Intelligence (Ai) Risks And Benefits In Pakistan, Rauf Arif, Muhammad Ittefaq, Lamia Zia

Faculty Scholarship

With the rapid advancements in technology over the past 2 decades, it has become crucial to understand people’s attitudes toward artificial intelligence (AI) adoption and its associated risks. Given the increasing access to the AI technologies, it is imperative to examine how young people in non-Western societies like Pakistan perceive AI risks and benefits. We conducted an online survey of college students who had used AI technology in the past 6 months. The results of our study indicate that the majority of college students view AI technology positively and perceive it as an opportunity to enhance workplace productivity. In addition, …

Challenges And Opportunities On Achieving An Adequate Delivery Efficiency And Immunogenicity With Peptide-Based Anticancer Vaccines, Yanqing Wang, Da Sun, Victoria Laney, Hong Wang, Zheng Rong Lu

Faculty Scholarship

Peptide vaccines are based on small peptide segments that contain antigenic epitopes recognizable by immune cells. Unlike traditional vaccines, they include only specific antigenic epitopes rather than entire pathogens or proteins. They are recognized, internalized, processed, and presented by antigen-presenting cells, such as dendritic cells, and subsequently presented to T cells, triggering an immune response. Peptide-based vaccines, an innovative regimen of cancer immunotherapy, have shown the potential to elicit target-specific anti-tumor immune responses, however their therapeutic efficacy is often diminished by their poor stability, rapid clearance from circulation, low immunogenicity, individual variability, and immune escape. In recent years, significant advancements …

Integrating Neuroaesthetic Design Into Brain-On-Chip Research: Toward Enhanced Neural Engagement And Cognitive Accessibility, Piper Hutson, James Hutson

Faculty Scholarship

This study examines the potential for neuroaesthetic design and adaptive neurofeedback principles to enhance brain-on-chip (BoC) research, with an emphasis on optimizing neural engagement and cognitive accessibility for diverse populations. Existing BoC platforms have transformed neuroscience through high-fidelity modeling of neural circuits, yet cognitive accessibility and sensory inclusion remain comparatively underexplored. Drawing upon recent studies in neuroinclusion, multisensory interface design, and adaptive feedback, this work synthesizes findings from biophilic interface architecture, neurofeedback literature, and embodied cognition frameworks. The manuscript outlines a multidisciplinary research agenda that prioritizes sensory diversity and ethical considerations in the evolution of BoC systems. Instead of making …

Mitigating Ai Bias With Prompt Augmentation, Verónica C. Gonzales

Faculty Scholarship

Large-language-model (“LLM”) outputs are inevitably shaped by assumptions, biases, and attitudes rooted in racism and other systemic inequities embedded in the civil-law tradition. This Equity-in-Justice CLE focuses on helping civil legal service providers recognize and work to eliminate biases in generative AI outputs through equity-centered prompt augmentation and engineering. These small, cost-free interventions re-orient LLMs assistance toward fairness, cultural competency, and client-centered outcomes. Participants leave with an action plan for embedding anti-bias safeguards in everyday research, drafting, and client communication tasks.

Is R&D Rivalry Slowing The Growth Of Productive Firms?, Yoshiki Ando, James Bessen, Xiupeng Wang

Faculty Scholarship

The reallocation of jobs to more productive firms is a substantial component of aggregate productivity growth, yet job reallocation rates have declined substantially in the United States. This paper explores the hypothesis that greater technological rivalry has exacerbated adjustment costs, slowing reallocation. Using microdata at the US Census and estimates of technological rivalry in firm growth regressions, we find that technological rivalry slows firm responses to productivity shocks. Firms do not expand as rapidly in the face of higher obsolescence risk. Estimating counterfactual firm growth from 1997-2018, we find that growing technological rivalry accounts for most of the decline in …

Cultivating Identity, Workforce Readiness, And Heutagogical Lifelong Learning: The Case For Student-Trained Ai Agents In Postsecondary Education, James Hutson

Faculty Scholarship

The accelerated integration of human-centered artificial intelligence and human-computer intelligent interaction (HCII) into postsecondary education has inaugurated a paradigm shift in how learners develop cognitive, socio emotional, and professional competencies. This article argues that requiring students to iteratively build and refine custom AI agents—digital “clones” or GPTs trained on their evolving beliefs, knowledge, values, and interests addresses three pressing challenges facing contemporary higher education. First, the process of self-modeling via agent training compels deep self-reflection, fostering socio-economic development and identity formation during the critical neurodevelopmental period that extends into the mid-twenties. Second, as industry trends increasingly prioritize the creation of …

Integrating Art Therapy And Emerging Technologies For Enhanced Neuroplasticity And Ptsd Intervention, Piper Hutson, James Hutson

Faculty Scholarship

Post-traumatic stress disorder (PTSD) remains resistant to many conventional treatments, underscoring the need for integrative approaches that harness neuroplasticity. Art therapy, with its capacity to facilitate nonverbal trauma processing and multisensory engagement, has shown distinctive advantages over verbal and pharmacological interventions. Recent innovations, including virtual reality (VR), artificial intelligence (AI), and biofeedback have amplified the therapeutic efficacy of art-based interventions by enabling adaptive, real-time modulation of emotional and physiological states. This review synthesizes current research on technologically enhanced art therapy, comparing it to established treatments such as cognitive behavioral therapy (CBT) and eye movement desensitization and reprocessing (EMDR). Findings indicate …

Fixing A 100-Year-Old Mistake, Michael J. Graetz

Faculty Scholarship

Posing the question of international tax cooperation versus competition reminds me of multiple-choice exams in which the right answer is “all of the above.” National interests determine which dominates at any given time. And in tax competition among nations, zero is not a lower bound.

In 1918, to encourage U.S. investments abroad, the United States enacted a credit for foreign taxes paid by U.S. companies and relinquished taxing rights to most foreign-source income. With the foreign tax credit, the United States assumed sole responsibility for reducing the double taxation of its residents and citizens. As the influential economist Edwin Seligman …

Too Many Mergers? The Golden Parachute As A Driver Of M&A Activity In The 21st Century, Jeffrey N. Gordon

Faculty Scholarship

This Article argues that the corporate governance regime in the United States has produced a level of mergers and acquisition activity greater than the social optimum because of the current version of the “golden parachute,” a super-bonus payoff to a target CEO. In the late nineteenth through the twentieth century, M&A activity was characterized by “waves” that reflected adaptations to changing external environment, whether the efficient production frontier, regulatory constraints, or capital market developments. Economically-motivated parties saw the opportunities in changing the boundaries of the firm; successful first-movers spawned imitators, hence a wave, which eventually subsided, often alongside deteriorating capital …

Immunosuppressive Formulations For Immunological Defense Against Traumatic Brain Injury, Abhirami Thumsi, Abhinav P. Acharya, Jeffrey Capadona, Sanmoy Pathak, Taravat Khodaei, Madan Mohan Chandra Sekhar Jaggarapu, Abhirami P. Suresh

Faculty Scholarship

Traumatic brain injury (TBI) and subsequent neurodegeneration is partially driven by chronic inflammation both locally and systemically. Yet, current clinical intervention strategies do not mitigate inflammation sequelae necessitating the development of innovative approaches to reduce inflammation and minimize deleterious effects of TBI. Herein, a subcutaneous formulation based on polymer of alpha-ketoglutarate (paKG) delivering glycolytic inhibitor PFK15 (PFKFB3 inhibitor, a rate limiting step in glycolysis), alpha-ketoglutarate (to fuel Krebs cycle) and peptide antigen from myelin proteolipid protein (PLP139-151) is utilized as the prophylactic immunosuppressive formulation in a mouse model of TBI. In vitro, the paKG(PFK15+PLP) formulation stimulates proliferation of immunosuppressive regulatory …

Polylactic Acid (Pla)-Based Multifunctional And Biodegradable Nanocomposites And Their Applications, Md Shariful Islam, G. M. Fazley Elahee, Xiong (Bill) Yu, Rigoberto Castillo Advincula, Changyong (Chase) Cao

Faculty Scholarship

Polylactic acid (PLA)-based nanocomposites are emerging as multifunctional, biodegradable materials, offering sustainable alternatives to petroleum-based plastics. This review examines recent advancements in PLA nanocomposites, focusing on enhanced mechanical strength, thermal stability, and biodegradability achieved through nanofillers like metallic particles, carbon-based materials, and ceramics. Techniques such as in situ polymerization, melt mixing, and electrospinning enable application-specific improvements. PLA's limitations, including brittleness and low barrier properties, are addressed to support diverse applications: in packaging (e.g., extended shelf life), biomedicine (e.g., degradable implants), and electronics (e.g., flexible devices). Despite challenges with filler dispersion and thermal resistance, continued innovations expand PLA's potential across multiple …

Targeted Delivery Of Rapamycin Via Epidermal Growth Factor Receptors In Pancreatic Cancer Cells Inhibits Cell Proliferation And Induces Apoptosis, Nawab Ali, Adeolu S. Oluremi, Christopher Baldwin, Nickolas Gustavison, Mujeebat Bashiru, Adeniyi Oyebade, Noureen Siraj, Raj Raghavendra Rao

Faculty Scholarship

Pancreatic cancer (PC) is aggressive and deadly; most PC cells overexpress an epidermal growth factor receptor (EGFR). EGFR-targeting peptide (GE11) was conjugated to gold nanoparticles (AuNPs) for delivering rapamycin (Rap), an mTOR inhibitor that reduces proliferation and induces apoptosis. Biophysical techniques confirmed the conjugation. Rap loading efficiency was 41.5%, with sustained release at a lower pH. Conjugates showed higher uptake in PANC-1 cells than unmodified AuNPs. It also inhibited proliferation and induced apoptosis via pathways involving reactive oxygen species, mitochondrial damage, and caspase activation. This approach represents a promising nanoparticle-based therapeutic strategy targeting PC cells, utilizing GE11-EGFR interactions to minimize …

State-Level Immigrant Policies And Diabetes Prevalence In Latino And Asian American Groups: A Weighted Multilevel Analysis, Md Towfiqul Alam, Jennifer Toller Erausquin, Erica Payton, Elizabeth Vásquez, Sandra Echeverria

Faculty Scholarship

Introduction: Growing literature has shown that immigrant-related policies influence population health by limiting or enhancing immigrants’ rights. However, less is known about the role of state-level immigrant policies shaping chronic health conditions such as type 2 diabetes (T2DM). This cross-sectional study examined the association between state-level immigrant policies (both criminalising and inclusive) and prevalence of T2DM among individuals of Latin American and Asian American origin.

Method: We included adults aged 18+years sampled in the 2014–2018 behavioral risk factor surveillance system (BRFSS) (n=201 824), a survey design that allows the calculation of state-level estimates. Using existing policy measures, states …

Electrochemically-Assisted Low Power Density Laser Writing On Stainless Steel Via Enrichment Of Chromium Oxides, Zechariah Pfaffenberger, Lianlian Liu, Tae Kyong John Kim, Vignesh Venkataramani, Lydia Kisley

Faculty Scholarship

Laser color marking produces nearly permanent, environmentally friendly, vibrant colors on surfaces. However, previous work has used high-power-density pulsed lasers to induce the physicochemical reactions for marking. Here, laser color marking on stainless steel 304 (SS304) is performed with a less expensive continuous wave (CW) laser and a power density five orders of magnitude below that previously reported by combining an electrochemical cell with a fluorescence microscope. Using a combination of optical microscopy, x-ray photoelectron spectroscopy, and bulk electrochemistry, it is demonstrated that the laser-induced luminescence and colors are due to enrichment (32 ± 9% increase) of Cr2O3 in the …

Diffusion Model For Medical Image Denoising, Reconstruction And Translation, Wei Wang, Shuo Li

Faculty Scholarship

Diffusion models, as a class of generative models, have demonstrated significant performance in image generation since their inception. The fundamental principle behind diffusion models is the definition of a forward process and a reverse process. The input data is progressively perturbed by adding random noise during the forward process, and the expected noise distribution is learned. In the reverse process, noise is gradually reduced from a Gaussian distribution to generate the image. Recently, diffusion models have been widely adopted in various image processing tasks, including text-to-image synthesis, denoising, segmentation, and object detection. In medical image analysis, diffusion models have shown …

Conceptualizing The Research Cycle For The Field Of Materials Science And Engineering, Jennifer L.W. Carter

Faculty Scholarship

Abstract: Early-career materials researchers often receive guidance from their individual advisors on best practices for conducting research, but the materials science community lacks an explicit model of the research process. As a result, the lived experience of an individual researcher can be quite different from their peers since they may be exposed to a different unique set of implicit research steps. In this article, we translate an existing research heuristic from other fields and make explicit the steps, methodologies, and strategies materials science engineering researchers utilize to advance our collective materials science knowledge. This newly proposed research cycle can improve …

Conceptualizing The Research Cycle For The Field Of Materials Science And Engineering, Jennifer Carter

Faculty Scholarship

Early-career materials researchers often receive guidance from their individual advisors on best practices for conducting research, but the materials science community lacks an explicit model of the research process. As a result, the lived experience of an individual researcher can be quite different from their peers since they may be exposed to a different unique set of implicit research steps. In this article, we translate an existing research heuristic from other fields and make explicit the steps, methodologies, and strategies materials science engineering researchers utilize to advance our collective materials science knowledge. This newly proposed research cycle can improve the …

Mechanism Of Ph-Sensitive Amphiphilic Endosomal Escape Of Ionizable Lipid Nanoparticles For Cytosolic Nucleic Acid Delivery, Zheng Rong Lu, Da Sun

Faculty Scholarship

Lipid nanoparticles (LNPs) are among the most successful classes of nonviral delivery systems for nucleic acid-based therapeutics in treating human diseases. One of the key challenges in achieving efficient cytosolic delivery of nucleic acids is overcoming endosomal entrapment within cells. Conventional lipid bilayer-forming cationic and amino lipids mediate endosomal escape via the mechanism of lamellar-to-inverted hexagonal phase transition, resulting in suboptimal cytosolic cargo delivery. pH-sensitive amphiphilic cell membrane disruption and endosomal escape have emerged as a strategy for designing protonatable or ionizable lipids, especially nonlamellar lipids, for efficient cytosolic nucleic acid delivery. Nonlamellar amino lipids possess a large wedge-shaped tail …

Digital Bibliography In The Age Of Linked Data, Kate Ozment

Faculty Scholarship

The article explores how the interplay of ideological values and technological capacities have shaped the digital bibliography of British print history. Using a misgendering in the English Short Title Catalogue (ESTC) as a case study, the article explores how information flows through resources like Eighteenth Century Collections Online (ECCO), and Early English Books Online (EEBO), library catalogues, WorldCat, and retail outlets like Amazon. The article argues that as data from the ESTC is reproduced through linked data structures, information is ‘authorized’ far beyond what a single resource would do alone or what its original authors imagined or designed. While feminist, …

Experimental Determination Of Diffusion Flame Extinction Boundaries Over A Pmma Sphere: The Effect Of Sub-Surface Solid Heating, James S. T'Ien, Chengyao Li

Faculty Scholarship

The SoFIE-GEL (Solid Fuel Ignition and Extinction-Growth and Extinction Limit) microgravity combustion experiment was recently conducted aboard the International Space Station (ISS). In these tests, diffusion flame extinction limits of 4-cm diameter PMMA (polymethacrylate) spheres were determined as a function of forced flows (0.2 to 80 cm/s), oxygen concentrations (13 % to 34 %) and pressure (0.15–1.1 atm). In particular, the effect of sample heat-up is investigated. The sample surface layer is preheated by the ignitor and the diffusion flame itself before the extinction procedure (e.g. flow velocity decrease or increase or oxygen decrease) is implemented. The degree of sample …

The East Palestine Train Derailment: A Complex Environmental Disaster, Lynn T. Singer, Fredrick R. Schumacher, Timothy Ciesielski

Faculty Scholarship

This symposium, The East Palestine Train Derailment: A Complex Environmental Disaster, brought together scientists whose research represented initial scientific responses to the community health impacts of the chemical exposures incurred from a disastrous train derailment and subsequent combustion in East Palestine, Ohio in February, 2023. This derailment and burn led to multiple complex toxic exposures to air, soil and water, including vinyl chloride and butyl acrylate. Presenters described the multi-university consortium formed to assist with developing and communicating data-informed summaries to the affected community. Presenters also reported on the immediate health sequelae experienced by the community and the stress and …

From Palimpsest To Prompt: Rewriting Shakespeare, Creative Authorship, And The Generative Logics Of Large Language Models In Contemporary Theatre, Michael Harding, James Hutson

Faculty Scholarship

This article examines the convergence of creative authorship, adaptation, and generative artificial intelligence within contemporary theatre, taking Michael Harding‘s Awake, Young King as a central case study. Through the rewriting of Shakespearean drama, Harding‘s creative process demonstrates how theatrical meaning emerges through ongoing negotiation among playwright, performer, and audience, with scripts historically subject to revision, improvisation, and reinterpretation. Concerns regarding copyright, intellectual property, and the role of AI in the performing arts are reframed as extensions of enduring debates over originality and authorship, rather than novel threats. Tracing the evolution from The Rise of James VI to Awake, Young King, …

Civilian Enforcers, Karen Pita Loor

Faculty Scholarship

This Article analyzes the largely unexplored phenomenon of militant civilians engaged in efforts to police and silence activism that challenges entrenched American power systems and economic distributions placing whites atop the social hierarchy in the United States. I argue that this civilian enforcement is an unregulated vessel for state-sponsored violence meant to silence the contestation of the existing racial hierarchy. While scholars, myself included, have written about the many ways police confront and silence racial justice activists on the streets at least since the beginning of the Black Lives Matter (BLM) movement, the role law enforcement plays in silencing racial …

Dark Patterns As Disloyal Design, Johanna Gunawan, Woodrow Hartzog, Neil Richards, David Choffnes, Christo Wilson

Faculty Scholarship

Lawmakers have started to regulate “dark patterns,” understood to be design practices meant to influence technology users’ decisions through manipulative or deceptive means. Most agree that dark patterns are undesirable, but open questions remain as to which design choices should be subjected to scrutiny, much less the best way to regulate them.

In this Article, we propose adapting the concept of dark patterns to better fit legal frameworks. Critics allege that the legal conceptualizations of dark patterns are overbroad, impractical, and counterproductive. We argue that law and policy conceptualizations of dark patterns suffer from three deficiencies: First, dark patterns lack …

Grid Fragility, Blackouts, And Control Co-Design Solutions, Mario Garcia-Sanz

Faculty Scholarship

The grid is undergoing a large-scale transformation, including a significant reduction of synchronous generators, a high penetration of inverter-based resources and renewables, substantial demand growth, new extra-large loads, aging infrastructure and a concerning vulnerability to contingencies. Some of the recent massive blackouts in Spain/Portugal, Chile and Texas are exposing the fragility of the grid as we know it today. This paper introduces new solutions to stabilize the grid under undesired dynamic interactions and extreme contingencies, with the goal of avoiding cascading failures and blackouts. Using control co-design methodologies, the paper proposes three interdependent categories to improve the reliability and controllability …