Digital Commons Network^™

Cuny Oer Initiative Catalog (Ay 2024-2025), Jahanara Alamgir, Yujin Lee-Hwang, Rachael Nevins, Elliot Galvis, Rebecca Morofsky, Andrew Mckinney, Jojo Karlin

Open Educational Resources

This circulating catalog inventories the reusable teaching objects produced by CUNY campuses in AY 2024-2025! You’ll find textbooks, assignments, syllabi, videos, and more, organized by discipline and with brief descriptions of the resource. This publication (which links to all the resources) is supplemented by a by our online, filterable CUNY OER Initiative Catalog.

The CUNY OLS Research and Publishing Strategy team gathered, described and indexed the work of the campuses. OLS Fellow Hwang-Lee Yujin designed the publication.

A View Under The Hood: Duquesne Kline's Law And Computing Program, Wesley M. Oliver, Katherine L.W. Norton, Martin Mckown, David Horrigan

West Virginia Law Review

No abstract provided.

Artificial Intelligence And Machine Learning Improving The Livelihood Of Individuals With Disabilities In Various Capacities, Daveon Lilly

West Virginia Law Review

Artificial Intelligence (“AI”) and Machine Learning (“ML”) are swiftly reshaping accessibility for individuals with disabilities, offering fresh opportunities for inclusion in education, the workplace, and daily life. This Note explores the integration of AI and ML into assistive technologies and discusses how this integration bolsters access and independence for people with various disabilities. It also examines the legal frameworks, including the Americans with Disabilities Act (“ADA”) and the Rehabilitation Act of 1973 (“Rehabilitation Act”), that govern the implementation of these technologies and address challenges such as algorithmic bias, data privacy, and the digital divide. While AI and ML have made …

Fear In The Forecast: Do You Believe The Government Controls The Weather?, Gabriella Bartsch

Honors Papers and Posters

Weather manipulation by the government is among the most widely believed conspiracy theories in America, with over 49 percent of Americans subscribing to this belief. As belief in weather-related conspiracies continues to gain traction, understanding the political and social factors that drive these beliefs becomes increasingly essential. In this study, data from the Chapman Survey of American Fears, a representative national sample of U.S. adults, as well as a qualitative content analysis of X/Twitter posts from 2020 to 2026, are used. This research examines how political partisanship and conspiratorial predisposition are reflected in media consumption and levels of institutional trust, …

Ecovoltaic Solar Energy Development Creates Novel Microclimate, Temperature, And Soil Moisture Patterns Under Solar Panels In A Warm Desert, Juan Pinos, Seth M. Munson, Claire C. Karban, Matthew D. Petrie

Life Sciences Faculty Research

Background As solar energy development expands in desert regions, new installation practices and solar technologies seek to balance ecosystem conservation and energy generation (ecovoltaics). The Gemini Solar Project, a large ecovoltaic facility located in the northeastern Mojave Desert, employed low impact installation methods to reduce disturbance of the desert ecosystem within arrays of bifacial panels mounted on solar tracking systems. We evaluated microclimate and environmental conditions across five locations: four within-facility microsites (underneath solar panels, east and west panel driplines, and interspaces between panel rows) and one in the undisturbed desert outside the facility. Results Under panel microsites experienced lower …

The Student Movement Volume 110 Issue 19: Summer Surprise, Secret Sidewalks, And Superstars, Nathaniel Reid, Kyle Simpson, Ysa Dennis, Melanie Webb, Addison Randall, Anna Pak, Reagan Westerman, Madison Vath, Alyssa Caruthers, Maya Thomas, Anna Rybachek

The Student Movement V. 110 (2025-2026)

AUTHENTIC FACTS

Andrew Francis to Return to Student Movement as Editor in Chief, .- .. -.- ---

Summer Break Canceled for AU Architecture Students, (Not) Nathaniel Reid

Mysterious Message in Andrews' Sidewalks Reveals Long-Lost History, Kyle Simpson

ARTS & ENTERTAINMENT

Should Actors' Public Personas Influence Their Award Chances?, Ysa Dennis

The Collingsworth Family to Bring Hymns to the HPAC. Melanie Webb

How Close Is Too Close? The Nature of Press Tour Relationships, Ysa Dennis

Andrews University Choirs Present Spring Concert, Addison Randall

HUMANS

Women in STEM Faculty Spotlight, Anna Pak

NEWS

Pre-Law Students Take the Stand in Campus Mock Trial, …

Multi-Jurisdictional Hazard Mitigation Plan For Landslides For The Kentucky River Area Development District, Kentucky, Hudson J. Koch, Matt M. Crawford, Jason M. Dortch

Contract Reports--KGS

Landslides are a widespread and complex geologic hazard that affects people and infrastructure. The Kentucky River Area Development District, Kentucky, sustains relatively high landslide activity that impacts several municipalities in eastern Kentucky. This hazard mitigation planning project outlines landslide hazard and risk assessments for the Kentucky River Area Development District, with information needed for each community in the region to develop mitigation strategies that will support infrastructure and development needs, land-use planning, situational awareness, and response and recovery actions for the communities.

Grand Valley Magazine, Vol. 25, No. 2, Spring 2026, Grand Valley State University

Grand Valley Magazine

Grand Valley Magazine is a quarterly publication about Grand Valley State University produced by University Communications since 2001.

Energy Management And Water Balance In Migrating Hummingbirds, Shayne R. Halter

Biology ETDs

Small body size and rapid metabolism make annual migrations challenging for North American hummingbirds. Many of these birds make annual journeys of over 10,000 km. During migrations, hummingbirds use stopover sites, where they remain for several days to accumulate body fat. At these stopovers, they often encounter uncertainties in food resources, competition, and weather. To save energy, hummingbirds sometimes enter nocturnal torpor. My dissertation uses respirometry data, lipid measurements from Quantitative Magnetic Resonance, and feather hydrogen stable isotopes to understand how energy levels, migration patterns, torpor use, and water balance interact in four species of migrating hummingbirds. I discovered lipid …

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 …

Sampling And Counting Graph Structures With Triangle Motifs, Sherry Robinson

Theses

Understanding the structure of real-world networks often relies on identifying significant (i.e., occurring significantly more frequently than random) subgraph patterns, or motifs, such as triangles. To assess their significance, null models generate random samples from a constrained distribution of graphs, preserving selected properties while randomizing others. These models may either generate random graphs or sample structures from a fixed input graph. This thesis focuses on the latter, specifically the problem of sampling and counting graph structures that incorporate triangle motifs. While efficient algorithms exist for sampling classical structures such as matchings, extending these methods to higher-order motifs remains an important …

An Evidence-Based Educational Intervention To Enhance Nurses' Knowledge Of Metabolic Syndrome In Residential Care Facilities, Marie Tanyi

Doctor of Nursing Practice Scholarly Projects

The project addresses a critical gap in nursing education by implementing a structured, evidencebased educational intervention led by an Advanced Practice Registered Nurse (APRN) to improve nurses’ knowledge of metabolic syndrome in residential care facilities. The purpose was to determine whether this intervention could significantly enhance nurses’ understanding and management of metabolic syndrome, a complex cluster of disorders present in adult populations. Nine nurses participated in targeted educational sessions focusing on definition, diagnosis, complications, and evidence-based prevention and management strategies. Each participant completed the Metabolic Syndrome Knowledge Scale (MSKS) questionnaire before and after the intervention to assess changes in knowledge. …

Emc Testing Apparatus, Madison Randle

Honors Capstones

Common-mode current is a critical diagnostic parameter for predicting radiated electromagnetic emissions in variable-frequency drives (VFDs). At Danfoss, these measurements have traditionally been performed manually by sliding a current transformer along a mains cable—an approach that is slow, operator-dependent, and prone to inconsistent sensor positioning. As regulatory standards tighten and development cycles accelerate, the limitations of 6 this manual process create risks: longer test times, higher labor costs, and an increased likelihood of failing expensive anechoic chamber compliance tests. This project set out to design an automated measurement apparatus capable of improving repeatability, reducing operator workload, and supporting both continuous …

Situating Ai Within The History Of Technological Adaptation In Law, Karin Mika

Law Faculty Articles and Essays

This Article will first trace this history of technological disruption and adaptation in the law. It will then situate the current AI moment within this established pattern, arguing that AI’s capabilities create an unprecedented opportunity to accelerate a pedagogical shift from foundational structure to sophisticated substance. Further, it will explore AI's significant potential as an equalizer for multilingual students. Finally, it will address the legitimate risks of AI, concluding that a framework grounded in professional ethics and critical human oversight is the key to harnessing its benefits responsibly. The challenge is not to resist this new technology, but to adapt …

Service Learning In The Elementary Classroom, Jordan E. Kelly

Honors Thesis

Service-Learning is an educational program in which students participate in service-related activities that correlate to academic content. This research reviews several works on Service-Learning to aid educators in developing Service-Learning Programs in Elementary Classrooms. The research was conducted through a literature review, in which published works were reviewed for connections and data to Service-Learning. This review examines connections surrounding Service-Learning, the different methods by which a Service-Learning Program can be implemented, how organizations collaborate productively, and sample Service-Learning Projects. If implemented in elementary schools, Service-Learning will have a positive impact on students' social and emotional skills, academic development, and community …

Corporate Fiduciary Duties And The Climate And Biodiversity Crisis, Eric W. Orts, Sandra G. Schafhäutle

Michigan Journal of Environmental & Administrative Law

This Article argues that addressing one of the most urgent environmental challenges facing humanity today—the global climate and biodiversity crisis—calls for a transformation at the heart of corporate law: its fiduciary duties. After demonstrating how current corporate fiduciary duties are implicated in this crisis, we argue for reform of fiduciary duties operating at two levels: those governing directors and officers of business corporations, and those governing institutional investors and asset managers. We then distinguish between two general kinds of corporate fiduciary duties: permissive and mandatory. We contend that corporate law should accommodate a more expansive understanding of fiduciary duties by …

The Energy And Environmental Footprint Of Ai, Michael P. Vandenbergh, Ethan I. Thorpe, Jonathan M. Gilligan

Michigan Journal of Environmental & Administrative Law

Artificial intelligence (AI) has the potential to create major economic and social benefits, but also to rapidly escalate electricity demand and its associated environmental impacts. Information availability has been a cornerstone of environmental law for half a century, and this Article argues that providing information to individual, corporate, and other users about the electricity demand and environmental impacts of AI can reduce those impacts without delaying development of the technology. Little is known about how different large language models (LLMs) compare on these metrics, though. To address whether users have access to the information necessary to address this shortcoming, the …

Four Decades, No Progress: Time For A Columbia River Basin Compact, Liesl L. Bogaard

Michigan Journal of Environmental & Administrative Law

Since the Power Act’s passage in 1980, the government entities who develop and implement energy policy in the Pacific Northwest have operated under a congressional mandate to protect fish and wildlife in the Columbia River Basin. However, nearly half a century later, the number of wild salmon and steelhead returning to their native spawning grounds is still in decline, largely due to dam operations in the Columbia and its tributaries. This Note examines the history of hydroelectric power generation in the Columbia River Basin and its impact on fish populations, drawing parallels between the environmental crisis in the Columbia River …

Owning Geothermal Energy, Gabriel Eckstein

Michigan Journal of Environmental & Administrative Law

Geothermal energy holds vast potential for decarbonizing the U.S. energy system, yet the sector remains significantly underdeveloped, supplying only 0.4% of the nation's electricity. A principal barrier to growth is the fragmented and ambiguous legal landscape currently governing ownership of geothermal resources: thirty-three states lack any clear statutory or common-law framework identifying who owns subsurface thermal energy. This Article examines the physical characteristics of geothermal energy, recent developments in the U.S. geothermal sector, and the principal doctrinal approaches that might govern ownership of subsurface heat, including the ad coelum doctrine, common-pool and open-access frameworks, the rule of capture, and public …

Teacher Beliefs And Their Influence On Instructional Strategies And Student Outcomes, Brianna Dompke

Master's Theses & Capstone Projects

Teacher beliefs are recognized as a foundation element in classroom decision-making, shaping how educators interpret curriculum, respond to student needs, and select instructional strategies. However, a significant challenge exists when teacher’s personal beliefs misalign with evidence-based practices, which can limit student success and engagements and instructional effectiveness. This inquiry-based research projects examines the relationship between teacher’s beliefs, instructional strategies, and student outcomes within the PK-12 classroom. Through a synthesis of peer-reviewed scholarly journal published within the last ten years, this review identifies patterns in belief formation, and the role beliefs play in teacher implementation and teaching in the classroom. The …

Strategies And Techniques In Early Childhood Education, Abigail Strutzenberg

Master's Theses & Capstone Projects

As early childhood education shifts toward high-stakes accountability, the traditional "bridge year" of age four is increasingly dominated by "drill-and-kill" academic instruction. This project investigates the growing tension between rigorous academic standards and developmentally appropriate practices. The study explores how the implementation of intentional, play-based strategies—specifically guided play and multisensory scaffolding—can meet mandatory benchmarks for phonemic awareness and self-regulation without compromising a child’s social-emotional well-being. Ultimately, the research seeks to identify how educators can reclaim their pedagogical autonomy by balancing state mandates with the intrinsic needs of the developing child. The central thesis argues that when academic content is embedded …

Effectiveness Of Project-Based Learning In Early Childhood Education, Jasmin Voravongsa

Master's Theses & Capstone Projects

The increasing complexity of the modern world necessitates innovative educational methodologies that effectively prepare young learners for future challenges. Traditional instruction often prioritizes rote memorization, resulting in disengagement and insufficient development of critical social-emotional and cognitive skills, particularly within early childhood education. This inquiry-based research examines the effectiveness of project-based learning (PBL) as an instructional strategy to enhance student engagement, collaboration, social-emotional development, and deep learning, with a focus on STEM education in early childhood settings. By engaging children in real-world, hands-on projects, PBL fosters intrinsic motivation, collaborative skills, emotional intelligence, and profound conceptual understanding. Through a comprehensive literature review …

Match-A-Fit, Brianna Mendoza, Adan Diaz De Leon, Pedro Jacobo, Juan Marco Saca Dada

Posters - 2026

Welcome to Match-a-Fit! Match-a-Fit is an iOS application that allows the user to create a digital closet by uploading images of their clothing items. With AI, the program can generate outfits based on the digital closet, the time, and the occasion. Match-a-Fit’s purpose is designed to help users who struggle to get ready, run out of time, or can’t decide on an outfit, by easily generating outfit options based on the occasion.

Research Showcase Program, St. Mary's University

Program - 2026

No abstract provided.

Maddenlite, Sergio Pena

Presentations - 2026

Problem •“What If” scenarios impossible to test accurately •Commercial games rely on arcade physics •Spreadsheets lack visual engagement

Motivation •Passion for football analytics •Desire to simulate cross-era matchups •Apply math models to real-world sports data

Solution •Python based simulation engine using historical play-by-play data •Simulates outcomes based on probability

A.I.R.E., Laurene Robinson

Presentations - 2026

•Cybersecurity analysts rely on reverse engineering to understand suspicious software. •Ghidra can surface decompiled code, but it does not fully explain function purpose, behavioral meaning, or analyst priority. •When symbols are stripped and context is weak, analysts must still reconstruct intent manually from low-level output. •That process is Time-consuming , complex and , operationally costly

Co-Ordination Driven Heteroleptic Self-Assembly Of Naphthalene Diimide And Aromatic Dicarboxylate, Rosanna Jees, Kennedy Kuchta, Joshua Do, Erendra Manandhar

Posters - 2026

Co-ordination driven self-assembly is a powerful tool to construct supramolecular co-ordination complexes (SCCs) with predictable and well-defined molecular structures. Fujita, Stang, Newkome, & others have developed novel methodology to synthesize 2D & 3D Metallo-supramolecular structures, such as triangles, cubes, and octahedrons. These have potential applications for optical materials, sensing, catalysis, light harvesting & emissions due to the structures’ well-defined cavity and easy functionalization at the periphery position of ligands.1–4 SCCs with various functional groups, fluorophores, and chromophores, like crown ethers, carbazoles, fullerenes, and dendrimers, have been reported through self-assembly, yet naphthalene-diimide (NDI)-based macrocycles and cages are limited. This project focuses …

Harvest Scanner, Alexander Murphy

Posters - 2026

In current times, people can find themselves at the whims of markets and may be spending more than they realize or want to on regular, everyday goods. New tools can help users keep track of the goods they are paying for. Harvest Scanner was developed to scan and track local grocery prices from stores using their publicly available website information. It was developed in Python using PyQt5 for GUI. The database is stored as an SQL file with Python using SQLite engine. Users will be able to view local grocery prices in a database interface (GUI). There are many features …

A.I.R.E. - Ai-Assisted Reverse Engineering, Laurene Robinson

Posters - 2026

Reverse engineering plays a vital role in cybersecurity by helping analysts examine unknown binaries, investigate malware, identify vulnerabilities, and better protect sensitive systems. However, once a program is compiled and stripped, the meaningful names that describe its behavior are lost, leaving behind generic function labels like FUN_00401a30. Analysts must then manually interpret decompiled code, trace call chains, and infer program behavior function by function, which is slow and mentally demanding on large binaries. To address this challenge, this project introduces A.I.R.E., a local Ghidra extension that extracts contextual evidence from stripped functions and uses a locally hosted language model to …

Topshelf, Ayden Jay Soliz

Posters - 2026

With so many great video games releasing each year, it becomes challenging to keep up with the latest. Players find it difficult to maintain an updated list of future games to play, and many existing online trackers have become too complicated to use. TopShelf is designed to be a simple video game backlogging website that will track games for the player. By connecting to an online video game database API, users can add/drop games from their personal list and enable tracking and receive emails for platform releasing. Gamers can leave all the tracking and updates responsibilities to TopShelf